Data Pipeline Manager Jobs in Bengaluru

Revenue Operations Analyst Location: Bangalore About Us FalconX is transforming institutional access to the digital asset markets by bridging the gap between traditional finance and the world of crypto. As a leader in the industry, we address the most pressing challenges in the market, offering innovative solutions that support trading strategies, liquidity, and structures akin to conventional financial markets. At FalconX, we empower our clients with seamless navigation through the evolving crypto landscape, from inception to scale. Role Overview We re looking for a dynamic Revenue Operations Analyst to join our growing team and help elevate the Revenue Operations (RevOps) function at FalconX. In the past year, our RevOps capabilities have matured significantly, with solidified processes in reporting, operational support, and actionable business insights. We re now at a pivotal moment where we need to scale these efforts further to provide strategic insights, improve operational efficiency, and support cross-functional projects. As a key member of the team, your role will focus on managing core revenue operations tasks while also driving value-added projects that impact the business. You ll be a crucial enabler, supporting both the foundational work in RevOps and the new, high-impact initiatives the business requires. Additionally, you ll play an important role in managing inbound lead qualifications, ensuring seamless handoff to the Sales team. Key Responsibilities Data-Driven Insights & Reporting: Leverage your analytical skills to support and manage critical reports and insights for the business, including: QBR decks and quarterly reviews Board material and leadership presentations Ad-hoc reporting for various stakeholders Core Operational Support: Collaborate with cross-functional teams to maintain and deliver essential operational support for the Revenue function. Key tasks include: Account split and territory management Validating account coverage and tiering Ensuring accurate parent-child mapping and reporting regions Pipeline management and data validation Lead Qualification & Inbound Lead Management: Manage inbound leads from web inquiries, qualify them based on defined criteria, and facilitate the smooth handoff to the Sales team. This involves: Contacting leads to assess their potential Coordinating with Sales for follow-up and feedback Tracking lead conversion metrics and identifying opportunities for process improvement Collaboration & Performance Tracking: Work closely with the Sales team to ensure lead response and qualification processes are streamlined. Track and report on key performance indicators (KPIs) such as: Call volume and outcomes Lead conversion rates CRM system usage and data accuracy Qualifications Bachelor s degree (or equivalent experience) 1-3 years of experience, ideally in a Revenue Operations, Sales Operations, or related role Strong analytical skills, with the ability to extract insights and drive business decisions from data High attention to detail and data accuracy Experience with CRM tools (e.g., Salesforce, HubSpot), BI tools, and basic coding skills (for manipulating data in BI tools) Proficiency in Google Sheets, Excel, or similar tools for data management Excellent written and verbal communication skills Preferred Qualifications Experience in the cryptocurrency or blockchain industry Familiarity with financial services or brokerage operations Ability to generate strategic insights on how financial services firms can expand their offerings and improve client servicing The opportunity to be part of a cutting-edge company at the intersection of finance and technology A collaborative, fast-paced environment with the chance to make an immediate impact Professional growth and development in a rapidly evolving industry Competitive salary and benefits package Qualification : Bachelors degree (or equivalent experience)

Software Development Manager Experience: 8+ Years Location: Bangalore Company: Kaleidofin About Us Kaleidofin is a mission-driven fintech platform committed to delivering financial solutions for underserved communities. Our proprietary ki credit platform combines advanced credit health analytics, middleware integration, risk dashboards, and debt capital structuring empowering financial institutions to serve low-income customers, informal sector businesses, and MSMEs more effectively. Operating across India, Bangladesh, and Kenya, we ve already impacted over 6 million customers, enabling over $3 billion in debt capital for underserved communities. Backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures, Kaleidofin is recognized as a leader in inclusive finance. Featured on Forbes Asia's "100 to Watch" Winner of RBI s Swanari TechSprint 2023 Winner of G20 TechSprint 2024 by BIS Certified as a Great Place to Work Role Overview As a Software Development Manager, you will play a key leadership role in shaping the technical roadmap and executing high-impact fintech products. You ll lead a team of engineers to build scalable, secure, and robust systems. This is a hands-on leadership role requiring active involvement in design, architecture, and code-level decisions. What You ll Do Own the product s engineering roadmap, architecture, scalability, and code quality. Guide system design decisions and lead architecture/code reviews. Collaborate closely with Product and Business teams to align on product strategy and feature development. Provide hands-on technical leadership especially in solving complex problems in fintech and lending domains. Mentor and develop engineering talent; foster a culture of ownership, innovation, and quality. Champion engineering best practices including test automation, CI/CD, and DevOps. Lead the adoption of data-driven practices including Big Data, PySpark, and data pipeline architectures. Balance short-term deliverables with long-term technical sustainability and scalability. Support team growth through career development, learning plans, and succession planning. 8+ years of software development experience, with 1 2+ years in people/team management roles. Strong fundamentals in computer science, system design, and problem-solving. Bachelor's or Master's degree in CS or related field from a top engineering institution (IITs, NITs, etc.). Proven experience building distributed, scalable, and secure systems. Strong hands-on experience with Python, Java, Spring Boot, and microservice architectures. Proficient in SQL/NoSQL, Kafka, CI/CD pipelines, and DevOps tools (Docker, Kubernetes, Jenkins, etc.). Familiarity with AI/ML model integration and credit scoring systems is a strong plus. Experience with data engineering: Big Data, Spark, Airflow, AWS stack (S3, Glue, Athena), etc. Knowledge of front-end and mobile (Android) development is a plus. Experience working in fintech, lending tech, or high-growth startup environments preferred. Excellent leadership, communication, and cross-functional collaboration skills. Be part of a high-impact team driving financial inclusion at scale. Work on cutting-edge technology in fintech and data infrastructure. Grow with a company that s winning global recognition and delivering real-world impact. Contribute to a people-first culture that values learning, innovation, and work-life balance. Qualification : Bachelor's or Master's degree in CS or related field from a top engineering institution

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

Job Title: Product Manager Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 5 8 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm trusted by Fortune 500 and Global 2000 companies to deliver impactful, data-driven decision-making. We create custom-built AI solutions through a powerful blend of human expertise and our proprietary platform, NucliOS. At MathCo, we empower our people known as Mathemagicians to innovate, take ownership, and drive transformation at scale. About the Role As a Product Manager at MathCo, you will be at the helm of a high-impact portfolio of custom-built, self-service products designed for some of the world s leading enterprises. These products span domains like performance monitoring, analytics enablement, and digital transformation some already delivering 3x 5x ROI within their first year. You'll lead cross-functional teams of engineers, data scientists, designers, and business analysts through the full product lifecycle from 0-to-1 ideation to production rollout. This is a rare opportunity to build highly customized solutions while contributing to the development of our proprietary platform that powers all of MathCo s AI-driven products. If you're someone who thrives at the intersection of business strategy and technology and has a knack for building solutions from the ground up this role is for you. Key Responsibilities Product Development & Lifecycle Ownership Drive the end-to-end product lifecycle from ideation to launch. Lead the development of self-service applications tailored to client needs, ensuring innovation, scalability, and usability. Collaborate closely with engineering, data science, design, and DevOps teams to deliver robust features and solutions. Stakeholder & Project Management Own client relationships and manage stakeholder expectations with clarity and accountability. Define and prioritize product roadmaps, sprint backlogs, and feature releases using Agile methodologies and tools like JIRA. Drive conversations with Fortune 500 clients to align business goals with product strategies. Research & UX Conduct market and user research to validate features and prioritize user-centric design. Partner with design teams to develop high-impact UI/UX prototypes that elevate the product experience. Technical Oversight Guide custom product development, including architecture, design, and deployment on cloud platforms like AWS, Azure, or GCP. Oversee data pipelines, warehousing, and transformation strategies for data-driven applications. Lead discussions on DevOps strategies and CI/CD best practices. Work with QA to ensure quality, testing, and production readiness of the product. Must-Have Skills & Experience 5 8 years of experience building and managing digital products. Proven ability to own the P&L and ROI of tech products, preferably in the enterprise or B2B domain. Hands-on familiarity with: Frontend technologies: HTML, CSS, React (or similar) Backend technologies: Python, REST APIs Cloud services: AWS / Azure / GCP Strong understanding of Agile development methodologies, project tracking (e.g., JIRA), and DevOps processes. Excellent problem-solving and cross-functional leadership skills. Clear and persuasive communication, with the ability to align technical and non-technical teams. Be part of a fast-scaling tech organization working on cutting-edge enterprise AI solutions. Shape the next generation of AI-enabled products with end-to-end ownership and autonomy. Collaborate with a diverse team of innovators, each empowered to leave a mark. Enjoy a culture that s flat, inclusive, and focused on learning and impact. Excited to build transformational products from scratch? Let s talk. Apply now to be a part of MathCo s product innovation journey.

Job Title: Engineering Manager Data Engineering Location: Bengaluru, Karnataka, India Department: Engineering Experience: 6 to 8 years Open Positions: 2 About the Role As an Engineering Manager - Data Engineering, you will lead a team of skilled data engineers who design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with cross-functional teams and client stakeholders to deliver high-quality data systems that meet business goals. Your leadership will be pivotal in mentoring your team, driving project execution, and advancing data engineering capabilities across the organization. Key Responsibilities Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive work environment. Conduct performance reviews, provide constructive feedback, and set clear goals for team members. Identify skill gaps and create opportunities for continuous professional growth. Plan, execute, and deliver data engineering projects on schedule and within scope. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure all projects align with broader business objectives and data strategies. Oversee design, development, and maintenance of data pipelines, ETL processes, and data warehouses. Guarantee data quality, integrity, and security in all data engineering initiatives. Identify and drive process improvements to enhance efficiency and effectiveness in data operations. Manage client conversations to understand requirements and translate them into technical deliverables. Build and promote reusable frameworks to drive efficiency in data systems. Lead multiple projects involving streaming, batch, and large-scale data pipelines. Required Technical Skills Strong execution knowledge of data modeling, relational and non-relational databases (SQL and NoSQL). Expertise with ETL and orchestration tools such as IICS, Metatron, Airflow, Azure Data Factory, AWS Glue, or GCP Composer. Experience working with data warehouses like Snowflake, Redshift, Hive, or BigQuery. Proficiency in Apache Spark and optimization of Spark jobs. Strong programming skills in Python (mandatory), with knowledge of Scala, Rust, or Java as a plus. Understanding of Medallion architecture patterns. Advanced SQL skills with query optimization expertise. Experience with software development lifecycle, unit testing, and functional programming concepts. Required Non-Technical Skills Strong problem-solving skills with the ability to assess financial impacts of decisions. Excellent written and verbal communication skills, capable of engaging with mid-management client stakeholders. Ability to balance pragmatic solutions against perfect ones, driving team consensus and business value. Exceptional people management skills, including conflict resolution, empathy, negotiation, and active listening. Proven leadership and mentorship abilities, providing technical guidance to delivery teams. Self-driven, with a strong sense of ownership and accountability. Preferred Educational Qualifications Bachelor s degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics). Lead and mentor a talented team working on cutting-edge data engineering projects. Collaborate closely with clients and cross-functional teams in a dynamic, fast-growing company. Drive innovation with scalable, high-impact data solutions. Grow your leadership and technical skills in a supportive, inclusive environment. Qualification : Bachelors degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics).

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

Pipeline and GTM Senior Data Analyst Location: Bangalore, India About the Role Rubrik s Pipeline & GTM Strategy and Analytics team seeks a Senior Pipeline and GTM Data Analyst to ensure high-quality data for pipeline development, measurement, and operational efficiency. Reporting to the Senior Manager of Pipeline & GTM Strategy and Analytics, you will play a key role in pipeline analytics, dashboard creation, and providing operational support for the Sales Development Representative (SDR) team. Your analytical expertise will empower data-driven decisions to accelerate growth. Key Responsibilities SDR Operations Support: Support territory and quota planning to grow the Inside Sales organization and drive revenue. Analyze strategic funnel metrics and measure sales performance. Administer and optimize sales tools like Salesforce (SFDC), Outreach, ZoomInfo, LinkedIn Sales Navigator, and more. Enhance lead routing and customer-facing messaging processes. Collaborate with Sales, Marketing, and IT teams to improve lead qualification and pipeline growth. Use data-driven insights to improve Inside Sales functions, incorporating input from cross-functional teams such as Marketing and Finance. Analytics & Reporting: Build, prepare, and analyze reports to support pipeline analytics and special projects that drive pipeline growth (PG) attainment. Create and maintain real-time dashboards for actionable insights. Validate and ensure data quality for SDR and pipeline dashboards. Continuous Improvement & Innovation: Enhance data management processes for improved efficiency and accuracy. Stay current with industry best practices in data analytics and management. Implement new tools and techniques for better data preparation and validation. Cross-Functional Collaboration: Facilitate smooth communication between SDR Operations and Analytics teams. Provide accurate, timely data to all relevant teams for informed decision-making. Participate in team meetings, offering data-driven recommendations. Required Skills and Experience 5+ years in Sales Operations, Strategy, or a related analytical role. Bachelor s degree or equivalent practical experience. Strong communication skills (written and oral). Self-starter with the ability to work independently and collaborate across all business levels. Salesforce (SFDC) administration experience. Advanced proficiency in Microsoft Excel or Google Sheets, including complex modeling and robust analysis. Experience with Microsoft Office suite (Word, Excel, PowerPoint, Outlook). Skilled in data visualization tools such as Tableau, PowerBI, or similar. Comfortable managing and analyzing large datasets. Preferred: Experience with SQL and/or Python for data querying and automation. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our AI-powered Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications, ensuring integrity, availability, and rapid business recovery.

Product Manager Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 5 8 Years Employment Type: Full-Time About the Role We re looking for a Product Manager who thrives on building enterprise-grade products from the ground up. In this role, you ll own the P&L for custom-built, high-impact self-service apps developed for Fortune 500 clients ranging from performance monitoring to advanced analytics. These products already show 3x 5x ROI within the first year, and you ll be central to scaling that success. You will lead cross-functional squads of engineers, data scientists, designers, and BAs through the 0-to-1 journey across more than 30+ products in development. This is your chance to work on deeply technical solutions while driving product vision, delivery, and value realization. What You ll Do Product Development & Delivery Own and drive the entire product lifecycle from discovery to go-to-market and continuous iteration. Collaborate with engineering and design teams to translate requirements into feature-rich, scalable applications. Manage timelines, scope, and quality to ensure timely and high-quality product delivery using Agile/Scrum methodologies. Strategic Product Ownership Collaborate closely with clients to co-create tailored solutions that address specific business challenges. Define product goals, success metrics, and prioritization frameworks that align with business outcomes. Participate in core platform strategy meetings to influence the architecture powering all client-facing products. Technical Collaboration Partner with technical architects to design system architecture that is scalable and cloud-optimized. Oversee DevOps and CI/CD pipelines, promoting seamless development-to-deployment workflows. Ensure efficient data pipeline development, warehousing, and transformation aligned with product needs. Quality, Testing, and Rollout Define and manage test strategy including unit testing, automation suites, and QA gates. Own production rollouts and ensure smooth post-launch monitoring and feedback loops. Key Requirements Technical Skills 5 8 years of experience in product management, particularly for custom or data-driven applications. Hands-on experience working with UI/UX teams, and comfort with technologies such as React, Python, APIs, HTML/CSS. Understanding of cloud environments (AWS, Azure, GCP) and cost-optimized architectures. Familiarity with ETL processes, data lakes/warehouses, and modern product analytics frameworks. Non-Technical Skills Exceptional problem-solving, communication, and stakeholder management skills. Ability to juggle multiple priorities in a fast-paced environment while keeping teams aligned and motivated. Experience working with project management tools such as JIRA, Confluence, or similar platforms. Preferred Qualifications Proven experience managing multiple cross-functional product teams. Demonstrated ability to build from scratch ideate, prototype, iterate, and launch. Exposure to product-led growth strategies or enterprise SaaS models. Work on cutting-edge enterprise solutions used by Fortune 500 companies. Be part of a fast-paced, high-ownership environment where your contributions directly impact business outcomes. Collaborate with top-tier tech, data, and design teams to build transformative tools. Shape the future of self-service analytics and intelligent apps.

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Engineering Manager - Backend Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, where 5% of Indian households shop, our tech team builds highly scalable backend systems to handle millions of daily orders with zero downtime. That s the engineering excellence powering our rapid growth. We prioritize speed, autonomy, and a growth mindset, with a strong culture of ownership through our Founder s Mindset philosophy. Our team is passionate, collaborative, and supportive. Whether we re solving high-impact problems or unwinding over chai and books, we believe in working hard and having fun. If you're excited to build impactful solutions in a fast-paced environment, come join us. About the Role We re seeking a seasoned Engineering Manager - Backend to lead high-performing backend engineering teams. You ll drive technical excellence, deliver scalable systems, and mentor engineers across multiple projects. With a hands-on background in distributed systems, databases, cloud infrastructure, and team leadership, you ll play a pivotal role in defining how Meesho scales its backend platforms. What You Will Do Design and assign technical tasks aligning with Meesho s backend architecture guidelines. Manage a team of software engineers; mentor and conduct regular performance reviews. Monitor progress across multiple projects; conduct sprint reviews and track OKRs. Collaborate cross-functionally with product, sales, and design to deliver innovative backend solutions. Own product scalability, system performance, and engineering efficiency. Plan and report engineering deliverables with regular updates and documentation. What You Will Need Bachelor s or Master s degree in Computer Science or related field. Minimum 7+ years of backend development experience with 2+ years in engineering management. Proficient in Java or Python and multithreading programming paradigms. Strong understanding of transactional and NoSQL databases like MySQL, PostgreSQL, MongoDB, etc. Expertise in Kafka or other messaging systems. Experience managing cloud infrastructure (AWS or GCP). Bonus: Familiarity with Elasticsearch, data pipelines, or real-time data processing. Hands-on experience building large-scale, distributed backend systems. Excellent team-building and leadership skills; ability to mentor junior and senior engineers alike. About Us Meesho is India s leading social commerce platform, redefining online shopping for the next billion users. With over 1.75 million sellers and industry-first benefits like zero commission and the lowest shipping costs, we are empowering small businesses to thrive online. Our unique model serves the underserved and first-time online buyers across tier-2+ cities, making commerce affordable, inclusive, and hyperlocal. We are the first Indian horizontal e-commerce company to achieve this scale. Our Mission Democratizing internet commerce for everyone that s our mission. From helping 100 million small businesses go digital to reaching every serviceable pincode in India, we aim to make Meesho Meri Shop for every Indian. Culture & Total Rewards We foster a people-first, performance-driven culture rooted in our 11 guiding principles our Mantras. These values shape everything from recognition to feedback loops and internal growth. Our rituals like Reflections, Listen or Die, and our Internal Mobility Program bring our culture to life every day. We Offer: Market-leading compensation competitive salary, equity, and bonuses. Health & wellness MeeCare program with extensive medical coverage, mental health support, wellness events, and gym benefits. Generous leave policies including parental support, vacation, and sick leave. Learning and development access to programs, mentorship, and tools to grow your career. Relocation & flexible benefits salary advances, relocation assistance, and customizable plans. Employee recognition performance-based rewards, gratitude gifts, and a vibrant, engaging workplace. Qualification : Bachelors or Masters degree in Computer Science or related field.

Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.

Engineering Manager Platform Engineering Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we support 5% of Indian households with high-scale e-commerce solutions and we do it with zero downtime. We value speed over perfection, embrace failures as learning opportunities, and empower teams with a Founder s Mindset. As part of the Platform Engineering team, you ll be building resilient, low-latency, high-throughput systems that serve millions of users daily. We invest in the growth of every engineer through continuous feedback, open communication, and a supportive culture. And yes we know how to party as hard as we code. About the Role We are looking for a skilled Engineering Manager Platform Engineering to lead a team responsible for designing, scaling, and optimizing our core infrastructure. This role involves managing large-scale distributed systems, fostering engineering excellence, and collaborating across teams to drive innovation. You ll ensure technical quality, delivery speed, and scalable architecture for all projects under your ownership. What You Will Do Design and allocate technical tasks while maintaining Meesho s engineering standards. Own execution of platform projects from inception to deployment, ensuring scalability and reliability. Conduct regular 1:1s, drive feedback cycles, and support career growth of engineers. Partner closely with Product and Design teams to develop new platform capabilities. Coach engineers on best practices for architecture, performance, and scalability. Monitor project health, sprint progress, and engineering KPIs. Foster a high-performing team culture with strong engineering ownership. What You Will Need Bachelor s or Master s degree in Computer Science or a related technical field. 8+ years of professional software development experience, including 1+ year in team management. Proven experience building large-scale distributed systems. Strong coding skills in Java, Python, or Go, and multithreading expertise. Deep understanding of messaging systems (Kafka, etc.), transactional and NoSQL databases. Experience working on cloud platforms like GCP or AWS. Exceptional communication, leadership, and stakeholder management skills. Good to have: Exposure to Elasticsearch, data pipelines, or stream processing systems. About Us Meesho is India s leading e-commerce platform built for the next billion users. With 1.75M+ sellers and a customer base spread across every serviceable pin code, we are democratizing internet commerce by enabling small businesses to sell online at zero commission and with the lowest logistics costs in the industry. From affordable products that reflect local demand to a robust pan-India tech infrastructure, Meesho is transforming how India shops and sells online. Our Culture & Total Rewards At Meesho, we believe in creating a culture of impact, inclusion, and innovation. Our values reflected in 11 guiding principles or "Mantras" shape how we work, collaborate, and grow together. Why You ll Love Working Here: Compensation: Competitive salary with equity-based rewards tailored to your experience and impact. Wellness: Extensive health insurance for you and your family through our MeeCare Program, mental wellness support, gym discounts, and more. Flexibility & Leave: Generous time off, parental benefits, and relocation support. Growth & Learning: Continuous learning through workshops, internal mobility, and performance coaching. Culture of Recognition: Personalized gifts, fun rituals, and regular engagement programs celebrating wins big and small. Join us to build the platform powering the future of digital commerce in India. Apply now and be part of a tech-first, people-driven journey at Meesho. Qualification : Bachelors or Masters degree in Computer Science or a related technical field.

Python/Apache Airflow Developer Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For more information, visit www.wipro.com. Role Purpose The purpose of this role is to design, test, and maintain software programs for operating systems or applications to be deployed at the client end and ensure they meet 100% quality assurance parameters. Position Overview We are seeking a skilled Python and Apache Airflow Developer with a strong background in data engineering to help develop and maintain robust data pipelines and support business intelligence initiatives. Key Responsibilities Develop and maintain data pipelines using Apache Airflow and Python. Collaborate with business managers to understand data requirements. Optimize existing data workflows for performance and reliability. Manage SQL and NoSQL databases for business intelligence. Ensure data quality and security. Troubleshoot data pipeline issues and ensure smooth data flow. Required Qualifications Proven experience in Python programming and data engineering. Hands-on experience with Apache Airflow. Strong understanding of SQL and experience with SQL databases. Familiarity with NoSQL databases. Experience in data modeling and ETL processes. Must have: Python and Apache Airflow, with preferably 5+ years of experience. About Wipro Wipro is constantly evolving, and we re looking for passionate individuals who want to build a modern digital transformation partner with bold ambitions. Join Wipro, where we empower you to design your own reinvention. Realize your ambitions and take part in our global, purpose-driven business. Applications from people with disabilities are explicitly welcome.

Engineering Manager Location: Bangalore, Karnataka Full Time Experience: 8 - 12 Years About the Role Swiggy is looking for a passionate and hands-on Engineering Manager to join our high-performing tech team in Bangalore. You will play a pivotal role in driving the technology vision and strategy for the Food, Instamart, and Dineout business lines, building scalable platforms that power promotions, pricing, and ads across millions of daily interactions on the Swiggy app. This role is ideal for an experienced engineering leader who thrives in a fast-paced environment, can architect scalable systems, and enjoys mentoring and growing high-performing engineering teams. Key Responsibilities Lead a cross-functional team of backend and frontend engineers to build scalable and high-quality software solutions. Collaborate closely with Product Managers, Designers, and Business stakeholders to deliver robust, user-centric products. Co-own and drive the technology vision and architectural decisions for the team and product. Create clear career paths for team members and guide their development and growth. Mentor and coach team leads, senior engineers, and architects across the team. Drive the adoption of best software engineering practices including code reviews, testing, CI/CD, and design standards. Ensure timely delivery and consistent execution on business goals while maintaining technical excellence. 8 12 years of software development experience with at least 1 2 years in a people management or technical leadership role. Proven ability to lead engineering teams of 10+ developers in a dynamic, growth-focused environment. Strong hands-on experience with backend technologies like Java, Golang, Python, and related frameworks. Experience with web technologies, distributed systems, microservices architecture, and high-volume data pipelines. Strong foundation in databases: MySQL, NoSQL, Redis, and cloud technologies (e.g., AWS). Track record of building and scaling systems for products with high user engagement and traffic. Strong problem-solving, analytical, and technical decision-making skills. Excellent communication and stakeholder management skills. As part of Swiggy s Food Tech team, you will directly contribute to Swiggy s mission of becoming the King of Convenience. This is a high-impact leadership role that allows you to shape products used by millions, influence technical strategy, and build a world-class engineering team in one of India s leading consumer tech companies. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Your Impact As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement impactful data products and solutions. Your key responsibilities will include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security within data environments. You will assess clients' data quality, map data fields to hypotheses, and prepare data for use in analytics models. Additionally, you will contribute to R&D projects, internal asset development, and participate in cross-functional problem-solving sessions with a variety of stakeholders, including C-level executives, to create innovative analytics solutions. You will be based in Gurugram, joining a global data engineering community, and work within cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts. You will collaborate directly with our clients, ranging from data owners and users to C-level executives. You will be aligned with one of our industry-focused practices: Pharma & Medical Products (PMP) or Global Energy & Materials (GEM). In these practices, you ll work on solving the most critical challenges for our clients in these sectors. PMP focuses on advancing the development and delivery of life-saving medicines and medical treatments, while GEM supports industries like chemicals, steel, mining, and energy to achieve operational excellence. GEMx and PMPx, the assetization arm of these practices, focus on creating reusable digital and analytics assets to support client work. As part of this team, you will help shape impactful solutions for large organizations, developing capabilities for sustained impact. Your Growth In this role, you will contribute to the frameworks and libraries that our teams of Data Scientists and Engineers use to progress from data to meaningful impact. You will have the opportunity to guide global companies through data science solutions, helping them transform and enhance performance across industries including healthcare, automotive, energy, and elite sports. Real-World Impact: You ll gain unique learning and development opportunities globally. Fusing Tech & Leadership: Work with the latest technologies and methodologies, with access to top-tier learning programs. Multidisciplinary Teamwork: Collaborate with data scientists, engineers, project managers, UX designers, and more to enhance performance. Innovative Work Culture: Creativity, passion, and wellness are central to our modern work environment, which includes insightful talks, training sessions, and a focus on work-life balance. Striving for Diversity: We celebrate diversity, with colleagues from over 40 nationalities, appreciating the value that diverse perspectives bring to the workplace. You are a highly collaborative individual who prioritizes impact over agenda. You enjoy learning from colleagues, challenging ideas thoughtfully, and working together to improve processes and solve problems. You believe in iterative change, experimenting with new approaches, and advancing quickly through constant learning and improvement. While we value using the right tech for the right task, our team often leverages technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions like AWS, GCP, and Azure. Your Role as a Data Engineer Collaboration: Work with business stakeholders, data scientists, and internal teams to create extraordinary, domain-focused data products (reusable assets) and deliver them to clients. Domain Expertise: Develop deep understanding of client industries and use creative techniques to deliver meaningful impact. Technical Platforms: Build and maintain technical platforms for advanced analytics engagements, spanning both data science and data engineering work. Data Pipelines: Design and implement robust, modular, scalable, deployable, and reproducible data pipelines for machine learning. Data Management: Ensure the security of data environments and compliance with information security standards. Data Wrangling: Assess data quality, map data fields to hypotheses, and prepare data for analytics models. Contribute to R&D: Participate in internal asset development and contribute to R&D projects to drive innovation. Cross-functional Problem Solving: Collaborate with internal teams and clients, including data owners and C-level executives, to create impactful analytics solutions. Your Qualifications and Skills Bachelor s degree in computer science or related field; Master's degree is a plus. 2-5 years of relevant work experience. Proficiency in at least one programming language such as Python, Scala, or Java. Strong experience with distributed processing frameworks (e.g., Spark, Hadoop, EMR) and SQL. Experience in commercial client-facing projects, particularly in close-knit teams. Ability to work with structured, semi-structured, and unstructured data, and identify linkages across disparate data sets. Clear communication skills to explain complex solutions effectively. Understanding of information security principles to ensure compliant handling of client data. Experience with cloud platforms (AWS, Azure, Google Cloud, Databricks) is highly desirable. Experience with CI/CD processes using GitHub Actions, CircleCI, or similar, and end-to-end pipeline development including application deployment is a plus. Qualification : Bachelors degree in computer science or related field; Master's degree is a plus.

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

Job Title: Senior Python Expert Experience: 3 to 8 years Overview of the Role: This role sets the benchmark for team software development processes and deployment procedures, while actively contributing to establishing best practices and methodologies within the team. Responsibilities: Develop backend services using Python Flask or similar web frameworks. Design and maintain data and pipeline management frameworks using open-source technologies such as Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud-based data engineering services like S3, Redshift, Athena, Kinesis. Design and develop efficient CRUD operations for large datasets with millions of records. Collaborate with teams to build and maintain innovative, reliable, secure, and cost-effective distributed solutions. Own and deliver complex application components within defined timelines. Ensure quality delivery using best practices in API development, performance, and scalability. Participate in customer communication, presentations, and resolution of critical issues. Contribute to architecture, feature set, and design decisions. Proactively recognize and address requirement inconsistencies and project risks. Break down work effectively and estimate accurately. Serve as a technical mentor and role model within the team. Required Skills: Strong knowledge of Python and a web framework like Flask. Experience with AWS services such as EC2, S3, Lambda, Step Functions, Glue, SNS, SQS, Secret Manager, and CodeBuild/CodePipeline. Solid understanding of SQL, including query writing, optimization, and database interaction tools. Experience with API development (RESTful services, Postman, API Gateway). Strong coding, debugging, and problem-solving skills. Understanding of architectural trade-offs and data engineering principles (data acquisition, ingestion, distributed processing, high availability). Ability to independently handle delivery of complex projects. Excellent team management and individual contributor skills. Good to Have Skills: Experience with Big Data frameworks like Hadoop and Spark. Knowledge of AWS Aurora. Familiarity with pip, setuptools, etc. Education: B.E./B.Tech, MCA, M.E./M.Tech.