Bigquery Jobs in Bengaluru

Product Manager Data Warehouse & Business Intelligence Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice is a pioneer in India s multi-brand used car segment. With a strong focus on innovation, data-driven decision-making, and cutting-edge technology, we are transforming the automotive ecosystem and delivering seamless customer experiences. Our commitment to excellence fuels our drive to create scalable, impactful solutions across the value chain. Role Overview We are looking for a strategic and technically strong Product Manager to lead our Data Warehouse and Business Intelligence (BI) initiatives. Based in Bangalore, this role will own the vision, development, and optimization of enterprise-wide data products. You will play a critical role in enabling data-led decisions, working closely with engineering, analytics, and business teams to drive measurable outcomes. Key Responsibilities 1. Product Strategy & Roadmap Define the vision, strategy, and long-term roadmap for Data Warehouse and BI products. Align product goals with overall business strategy through collaboration with senior leadership. Stay abreast of emerging technologies and industry trends to drive innovation in data architecture and analytics. 2. Development & Execution Partner with engineering, data science, and analytics teams to build scalable, high-performance data platforms. Prioritize product features and enhancements based on impact, feasibility, and business value. Lead cross-functional teams to ensure timely and efficient delivery of data solutions. 3. Business Intelligence & Analytics Oversee the development of interactive BI dashboards, reports, and self-service tools to empower business users. Collaborate with business stakeholders to identify critical metrics and create meaningful data visualizations. Champion data quality, consistency, governance, and accessibility across all platforms. 4. Stakeholder Management Serve as the single point of contact for data needs across Sales, Marketing, Operations, Finance, and other departments. Communicate roadmaps, progress updates, and outcomes clearly and effectively to stakeholders at all levels. Gather continuous feedback to refine products and enhance user experience. 5. Performance Monitoring & Optimization Define and track KPIs to assess product adoption, usage, and business impact. Analyze system performance and user engagement to identify areas for improvement. Drive initiatives to increase data platform efficiency and reliability. Qualifications & Skills Required Bachelor s degree in Computer Science, Engineering, Business, or a related field (Master s preferred). 7+ years of experience in product management, specifically in data warehousing, business intelligence, or analytics. Deep understanding of data architecture, ETL processes, and data modeling. Hands-on experience with BI tools like Tableau, Power BI, or Looker. Strong SQL skills and familiarity with cloud platforms (AWS, Azure, GCP). Proven track record of managing complex, cross-functional data projects in fast-paced environments. Ability to translate business needs into scalable, data-driven solutions. Preferred Experience in automotive, mobility, or e-commerce domains. Familiarity with machine learning concepts and advanced analytics techniques. Soft Skills Strong communication, presentation, and stakeholder engagement skills. Analytical mindset with a focus on delivering business value through data. Effective leadership and cross-functional collaboration. High attention to detail and ability to manage multiple priorities. At Mahindra First Choice, you ll join a fast-growing, innovation-led organization at the forefront of transforming the used car market in India. This is a unique opportunity to shape our data landscape and make a real impact on business outcomes. If you're passionate about unlocking the power of data, we d love to meet you. Qualification : Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters preferred)

Position: Business Technology Data Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in the Connected Operations Cloud, enabling businesses across industries like transportation, logistics, manufacturing, and field services to harness IoT data for safety, efficiency, and sustainability improvements. Samsara helps organizations digitize physical operations at scale, improving outcomes that impact global infrastructure. Role Overview Samsara is seeking a Business Technology Data Engineer to join its Data & Analytics team within the Business Technology division. In this role, you will design, build, and optimize end-to-end data pipelines and infrastructure for various business-critical systems across CRM, marketing, support, and product platforms. You'll collaborate with teams across the company to build reliable and scalable data solutions that power reporting, automation, and analytics. This hybrid role requires working 3 days per week from the Bengaluru office and 2 days remotely, with working hours aligned to India Standard Time (IST). Key Responsibilities Data Engineering & Platform Development Design and maintain ETL/ELT pipelines that integrate and transform data across business systems. Build scalable data infrastructure to support advanced analytics and real-time reporting needs. Write Python and SQL scripts for data ingestion, transformation, and validation. Data Integration & Enablement Work with diverse data sources: CRM, product telemetry, marketing automation, support ticketing, and order flow systems. Develop and support data lake and data warehouse solutions using Snowflake, Redshift, Databricks, or BigQuery. Ensure interoperability between applications and data layers. Performance & Quality Monitor and optimize pipeline performance, implement observability and alerting. Improve data quality, lineage, and governance across systems. Partner with internal stakeholders (e.g., Sales Ops, Marketing Ops, Analytics) to deliver reliable data products. Minimum Qualifications Bachelor s degree in Computer Science, Data Engineering, or related field. 5+ years of professional experience in data engineering. 3+ years experience building and maintaining end-to-end pipelines in a modern data stack. Strong in SQL and Python. Hands-on experience with: ETL tools: Fivetran, dbt Cloud: AWS (preferred), GCP, or Azure Databases: MySQL, PostgreSQL, Oracle, or similar Data Warehouses: Snowflake, Redshift, BigQuery, Databricks Preferred Qualifications Familiarity with API-based ingestion, serverless architecture (Lambda, API Gateway, SQS, etc.). Experience with monitoring tools (DataDog, CloudWatch, Splunk). Comfortable engaging stakeholders to translate business needs into data solutions. Proficiency in Docker, Kubernetes, or AWS Fargate is a plus. Qualification : Bachelors degree in Computer Science, Data Engineering, or related field

Job Title: Audience Platform Lead Insights & Analysis Location: Bangalore Employment Type: Full-Time About the Role We re seeking a strategic and technically skilled Audience Platform Lead to join our Insights & Analysis team. This role will focus on leveraging platforms like Adobe Analytics, Google Analytics, WebTrends, and various Customer Data Platforms (CDPs) to enable data-driven marketing and customer insights. As a subject matter expert in tag management, audience creation, and marketing technology integration, you will play a key role in shaping and implementing audience strategies across platforms. Key Responsibilities Lead the design, development, and implementation of solutions on Customer Data Platforms (CDPs) such as Adobe Experience Platform (AEP), Tealium, Segment, Lytics, ActionIQ, or C360. Drive data ingestion workflows via batch and real-time modes using ETL tools, APIs, and JavaScript. Build data models and define audience segments and customer journeys based on business requirements and architecture. Collaborate with internal teams and stakeholders to translate BRDs into actionable CDP use cases for marketing activation. Enable data extraction and outbound flows to reporting tools, other Adobe products, and third-party systems. Define and apply business rules and data transformations aligned with privacy and compliance standards. Guide and mentor other team members on platform capabilities, integration best practices, and scalable solutions. Ensure alignment with data privacy laws such as GDPR, CCPA, and others. Required Qualifications Proven experience in leading CDP-related development projects. Strong scripting experience with Python, Java, or Node.js. Hands-on experience with REST APIs, Open APIs, and tools like cURL. Proficiency in data analysis, data modeling, and data mapping. Experience working with unstructured data using formats such as JSON and Parquet. Preferred Qualifications: Familiarity with data privacy regulations including GDPR and CCPA. Experience in client-facing roles or stakeholder engagement. Working knowledge of reporting technologies and visualization tools. Experience with Big Data ETLs and cloud-based data platforms. Background in customer journey orchestration, audience activation, and segment development. Exposure to MLOps, data governance, or MarTech strategy is a plus. Work at the intersection of data, marketing, and technology. Lead cutting-edge customer data platform initiatives. Be part of a collaborative, innovative, and growth-driven environment. Make a measurable impact on customer engagement and digital transformation.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies that meet diverse user needs. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and continues to grow every day. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud Overview: Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology and tools to help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities: Write product or system development code, focusing on building scalable and efficient systems. Participate in, or lead design reviews with peers and stakeholders to decide on the most appropriate technologies for the task. Review code developed by other developers and provide feedback to ensure best practices, such as: Style guidelines Code accuracy Testability Efficiency Contribute to existing documentation or educational content, and adapt it based on product or program updates and user feedback. Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and understanding their impact on hardware, network, or service operations and quality. Qualification : Master's degree or PhD in Computer Science or related technical fields.

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: Sr. Data Engineer Job Overview: We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in Snowflake to manage data ingestion and transformation. The ideal candidate will work with an offshore team to deliver scalable data solutions aligned with business and performance requirements. Key Responsibilities: Design, build, and maintain ELT pipelines using Snowflake. Lead offshore development teams in applying data engineering best practices. Collaborate with stakeholders to manage data integration across systems. Optimize data pipelines for performance and reliability, including query tuning and resource management. Implement data validation processes to ensure data accuracy. Document data pipelines, flow diagrams, and transformation logic. Troubleshoot pipeline failures and resolve performance issues. Ensure compliance with data governance and regulatory requirements. Required Qualifications: 5+ years of experience in data engineering with a focus on ELT development. Strong expertise in Snowflake, including data sharing, secure views, and performance optimization. Proficiency in SQL and data integration tools. Experience managing offshore development teams. Strong problem-solving and communication skills. Preferred Qualifications: Snowflake certification or relevant certifications. Experience in financial services with knowledge of data security and compliance. Familiarity with cloud platforms (AWS, Azure) and orchestration tools like Apache Airflow. Experience with Python or JavaScript for data transformation. Knowledge of data visualization tools like Tableau or Power BI.

About Databricks At Databricks, we are passionate about enabling data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating the development of medical breakthroughs. We build and run the world s best data and AI infrastructure platform, empowering our customers to use deep data insights to transform their businesses. Databricks Mosaic AI offers a data-centric approach to building enterprise-quality Machine Learning (ML) and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, trained and augmented with their enterprise data. We re only getting started in Bengaluru, India, where we are currently setting up 10 new engineering teams from scratch! The Opportunity Senior Software Engineer As a Senior Software Engineer at Databricks India, you ll have the opportunity to work on a variety of challenging projects across multiple domains: Backend Engineering Distributed Data Systems (DDS) Full-Stack Development The Impact You ll Have 1. Backend Engineering Join our Backend teams and tackle challenges that range from product to infrastructure: Solve complex problems in distributed systems, large-scale service architecture, monitoring, workflow orchestration, and developer experience. Build reliable, high-performance services and client libraries for managing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Work on scalable services (e.g., Scala, Kubernetes) and data pipelines (e.g., Apache Spark, Databricks) that support our pricing infrastructure, processing millions of cluster-hours per day. 2. Distributed Data Systems (DDS) Work across a range of exciting DDS projects: Apache Spark Data Plane Storage Delta Lake Delta Pipelines Performance Engineering 3. Full-Stack Engineering As a Full-Stack Software Engineer, collaborate closely with your team and product managers to create intuitive user experiences that delight our customers. What We Look For BS or higher in Computer Science or a related field. 7+ years of production-level experience in one or more of the following languages: Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures (SOA). About Databricks Databricks is the data and AI company trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices around the globe. Qualification : BS (or higher) in Computer Science, or a related field.

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Data Engineer Role Overview We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. You will work closely with data scientists, analysts, and engineers to ensure efficient data processing and storage solutions that support business intelligence and analytics needs. This role requires expertise in SQL, big data technologies, and cloud platforms to build and optimize data workflows. Key Responsibilities Data Pipeline Development & Optimization Design and build scalable ETL/ELT processes for structured and unstructured data. Develop and maintain data ingestion frameworks to handle large datasets efficiently. Ensure data integrity, consistency, and security across multiple sources. Database & Data Warehouse Management Develop, optimize, and maintain relational and NoSQL databases. Implement data modeling best practices for performance and scalability. Work with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Big Data & Cloud Technologies Leverage big data tools (e.g., Spark, Hadoop, Databricks) for data processing. Work with cloud platforms (e.g., AWS, Azure, GCP) to build and optimize data solutions. Develop real-time and batch processing workflows. Collaboration & Documentation Work closely with data scientists, engineers, and business teams to understand data requirements. Document data pipelines, architecture, and workflows for scalability and maintenance. Required Qualifications & Skills Technical Expertise: Strong experience with SQL and Python for data processing. Proficiency in ETL/ELT frameworks and data integration techniques. Hands-on experience with big data tools (e.g., Apache Spark, Hadoop, Kafka). Cloud & Database Management: Expertise in cloud data platforms (Azure, AWS, GCP). Experience with data warehousing solutions (Snowflake, Redshift, BigQuery). Understanding of data governance, security, and compliance. Performance Optimization & Troubleshooting: Ability to optimize SQL queries and improve data processing efficiency. Experience troubleshooting complex data pipeline issues. Apply Now & Be Part of an Innovative Data Team!

Senior Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation. Our platforms Cognite Data Fusion and Cognite Atlas AI enable companies across Energy, Utilities, Manufacturing, and Chemicals to solve complex challenges using AI, contextual data, and automation. Cognite is backed by top-tier investors and recognized with global innovation awards. Our Values Impact: We deliver results that matter. Ownership: We take initiative, act inclusively, and embrace accountability. Relentless: We pursue excellence and innovation with resilience. About the Role As a Senior Data Engineer, you ll lead the development of scalable data solutions that empower critical industries to make informed decisions. You ll work on high-impact projects across regions, collaborating with solution architects, data scientists, and product teams. This is a growth role with room to influence product direction and mentor junior engineers. Key Responsibilities Architect and implement robust data pipelines using Cognite Data Fusion, Python, SQL, and REST APIs. Lead integrations, data modeling, and transformation tasks using cloud-native technologies. Design custom data models for discovery, mapping, and cleansing industrial data. Collaborate closely with cross-functional teams to deliver digital solutions. Conduct code reviews and champion engineering best practices. Contribute to Cognite s SDKs and internal tools. Translate customer use cases into scalable, reusable data engineering frameworks. Mentor team members and support customer onboarding when needed. What You ll Bring Bachelor s or Master s in Computer Science or related field (or equivalent experience). 5+ years in a data-intensive, customer-facing engineering role. Expertise in Python, SQL, REST APIs, and pipeline orchestration. Experience with distributed computing, Kubernetes, and cloud platforms (Azure, GCP). Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Strong DevOps mindset with hands-on experience in Git, CI/CD, and deployments. Proactive and collaborative; able to work independently and solve complex challenges. A growth mindset with willingness to ask for help and share knowledge openly. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work at our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Enjoy flat hierarchy, fast decision-making, and high ownership culture. Collaborate with world-class professionals on industry-transforming projects. Shape the future of industrial data and drive real-world impact at scale. If you re passionate about solving meaningful problems with cutting-edge data technologies, apply today. We welcome applicants from all backgrounds and experiences you might be the perfect fit, even if you don t meet every single requirement. Qualification : Bachelors or Masters in Computer Science or related field (or equivalent experience).

Qualification : Bachelors degree in a technical field (or equivalent experience) with 10+ years of experience in data engineering, or a Masters degree with 8+ years of experience.

Senior Data Engineer Enterprise Data Platform Location: Bengaluru Department: Business Technology Data Engineering Experience: 5+ Years Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower people to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation placing identity at the center of security and growth for thousands of organizations. We value diverse perspectives and lifelong learners. We re not looking for someone who checks every box we re looking for someone who will make us better with their unique experiences. Team: Business Technology Data Engineering The Data Engineering team at Okta supports cross-functional partners by building scalable, secure, and high-performing platforms. These platforms power decision-making and business processes across sales, marketing, engineering, finance, product, and operations. As part of this team, you ll contribute to data solutions that fuel Okta s hyper-growth. You will have the opportunity to work with cutting-edge technologies in cloud infrastructure, data lakes, automation, and CI/CD pipelines. The Role: Senior Data Engineer As a Senior Data Engineer, you will design, build, and manage modern data pipelines, infrastructure, and automation frameworks. You ll help scale our enterprise data platform using tools such as Snowflake, dbt, Airflow, Databricks, and AWS, while ensuring security, observability, and performance. You ll also contribute to CI/CD pipelines, infrastructure as code (IaC), and secure development lifecycle practices, enabling consistent, efficient, and secure delivery of data solutions. Key Responsibilities Platform Development & Infrastructure Design and maintain scalable data pipelines and platforms using Snowflake, AWS, Databricks, dbt, and Airflow. Manage infrastructure with Terraform, enabling repeatable and consistent deployments. Develop and maintain robust CI/CD pipelines using GitHub Actions, GitLab, or Jenkins. Containerize data services using Docker for better scalability and portability. Security & Compliance Implement and enforce secure development lifecycle practices, integrating tools like DAST, SAST, SCA, and Secret Scanning into pipelines. Conduct vulnerability scanning and apply patches to ensure system integrity. Ensure data security and compliance with industry standards and regulations. Collaboration & Innovation Collaborate with data engineers, data scientists, and analysts across business units to ensure data availability and integrity. Identify opportunities for automation and optimization within the data platform. Stay updated on emerging technologies and drive adoption of best practices. Must-Have Skills Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in data engineering, including: Advanced SQL and ETL development with Airflow and dbt. Experience with data warehouses such as Snowflake, Redshift, or BigQuery. Strong hands-on experience with AWS (S3, Lambda, EC2, EMR, EKS). 2+ years of experience managing CI/CD pipelines using tools like GitHub Actions, GitLab, Jenkins, or ArgoCD. Experience with Terraform and Docker. Proficiency in backend languages such as Python, Java, or Go. Preferred Skills Experience with lakehouse architectures like Databricks, including knowledge of Delta Lake and Apache Iceberg. Background in infrastructure security, vulnerability management, and observability tooling. High Impact: Help build and scale the data platform that powers Okta s global business. Cutting-Edge Stack: Work with best-in-class technologies like AWS, Snowflake, dbt, Terraform, and Databricks. Collaborative Culture: Join a diverse, inclusive, and globally distributed team that values knowledge sharing and continuous learning. Career Growth: Shape the future of Okta s data engineering practice while expanding your technical and leadership skills. Bring your passion for data, cloud, and automation and let s shape the future of secure, scalable enterprise data platforms together. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical 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

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

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).

Data Analyst Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT / Data Analytics Job Summary: We are looking for a detail-oriented Data Analyst with strong skills in SQL, Python, and Excel to extract actionable insights and optimize data pipelines on popular cloud platforms. The ideal candidate will be passionate about clean, reproducible code and thrive in a collaborative team environment. Key Responsibilities: Write efficient SQL queries and develop data extraction, transformation, and loading (ETL/ELT) pipelines on cloud platforms Automate data extraction and data insertion into Management Information Systems (MIS) using Python Analyze data sets and extract actionable business insights to support decision-making Maintain high standards of data quality and ensure reproducible, clean code Collaborate effectively with cross-functional teams and communicate findings clearly Continuously learn and adapt to new analytics tools and techniques Preferred Skills & Qualifications: Strong proficiency in SQL, Python, and Excel Experience building and optimizing data pipelines on cloud platforms such as Google Cloud Platform (GCP) Familiarity with Google BigQuery, Metabase, CleverTap, Google Data Studio, Firebase, and Google Analytics Hands-on experience with data visualization tools like Tableau and Google Data Studio Knowledge of ETL/ELT pipeline development and data flow architecture Excellent attention to detail with a passion for clean and efficient coding Strong interpersonal and communication skills to work collaboratively with diverse teams Good to Have: Experience with automated reporting and dashboard creation Prior exposure to marketing analytics tools and user behavior tracking Work with cutting-edge cloud data technologies and analytics tools Opportunity to grow your skills in data engineering and visualization Collaborative work culture focused on continuous learning and innovation

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job Title: Sr. Engineering Manager - Data Engineering Level: L5 Experience: 13-16 years Overview We are seeking an experienced Engineering Manager with a strong background in Data Engineering, including ETL/ELT processes and cloud-based data platforms such as Snowflake. The ideal candidate will lead and mentor a team of data engineers, drive data architecture initiatives, and work closely with cross-functional stakeholders to ensure our data infrastructure supports evolving business needs. Key Responsibilities Team Leadership: Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous learning. Data Pipeline Development: Oversee the design, development, and maintenance of robust ETL/ELT pipelines to ingest, transform, and process data at scale. Cloud Data Infrastructure: Drive the architecture and implementation of cloud-based data solutions, especially leveraging Snowflake, ensuring scalability, security, and reliability. Cross-Functional Collaboration: Partner with product managers, analysts, data scientists, and other business stakeholders to gather requirements and prioritize engineering efforts that deliver the most impact. Architecture and Design: Develop and enforce data architecture standards for high-performance data warehousing, ensuring seamless data integration across diverse sources. Performance Optimization: Identify and resolve performance bottlenecks, focusing on query optimization, cost management, and resource efficiency. Data Quality & Governance: Define and implement data quality frameworks and governance practices, ensuring data consistency and reliability across all pipelines. Innovation & Strategy: Stay informed on emerging data technologies and industry best practices, continuously improving processes and aligning solutions with long-term data strategies. Required Skills 8+ years of hands-on experience in data engineering, including 5+ years in a leadership role. Strong expertise in ETL/ELT processes and hands-on experience with tools like Talend, Informatica, or similar platforms. Deep proficiency in Snowflake or comparable cloud data platforms such as Redshift or BigQuery. Advanced SQL skills, including query optimization, performance tuning, data modeling, and schema design. Hands-on experience with Python or Java for data processing and automation. Knowledge of data governance, compliance standards, and data security best practices. Excellent communication and project management skills, with the ability to prioritize and manage multiple projects in parallel. Preferred Skills Exposure to Big Data technologies such as Spark, Hadoop, Databricks, Synapse, etc. Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Familiarity with CI/CD pipelines and DevOps practices within data engineering. Experience working with BI tools like Tableau or Power BI, and reporting integrations.