Conceptual Data Models Jobs in Bengaluru

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Position: Data Analyst 3 Location: Bengaluru Department: Growth & Strategy Employment Type: Full-Time Job Description: We are seeking an experienced Data Analyst to develop and maintain interactive dashboards, design data models, and extract actionable insights to support strategic business decisions. This role requires proficiency in Tableau and/or Qlik Sense and the ability to lead a team of analysts. Key Responsibilities: Develop, maintain, and enhance interactive dashboards and reports using Tableau and/or Qlik Sense. Design and implement efficient data models to underpin visualizations and analytical processes. Analyze data from multiple sources to identify trends, patterns, and actionable insights. Write scripts and utilize calculated fields to transform and manipulate data within visualization platforms. Migrate dashboards between platforms (e.g., Qlik Sense to Tableau) as needed. Adhere to best practices in data visualization, dashboard design, and data modeling. Communicate findings effectively to stakeholders and collaborate with cross-functional teams such as sales, marketing, and engineering. Mentor and lead a team of data analysts, fostering growth and knowledge sharing. Required Skills and Experience: Minimum 4 years of relevant experience in data analysis and visualization. Proficiency in Tableau and/or Qlik Sense, including scripting and calculated fields. Strong data modeling skills and experience with relational databases (e.g., SQL Server, Oracle). Excellent analytical and problem-solving abilities. Outstanding communication and presentation skills. Industry experience in Fintech, Payments, Finance, Banking, Digital Commerce, Healthcare, or related sectors is a plus. Who You Are: A problem-solver with a knack for uncovering insights from complex data sets. An excellent communicator, able to explain data-driven insights clearly and effectively. Hands-on and proactive, committed to staying updated with the latest tools and technologies. A respected team player and leader known for your analytical depth and influence.

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.

Position: Intern, Analytics Engineer Location: Bangalore, India Duration: Minimum 6 months commitment About Workato Workato is a leader in enterprise orchestration, helping businesses worldwide connect data, processes, and applications through an AI-powered platform. Trusted by 400,000+ customers, Workato enables organizations to drive efficiency and agility in today s fast-changing landscape. Recognized by Business Insider, Forbes, Deloitte, and Quartz for its innovation and workplace culture, Workato fosters a flexible, trust-based environment. Opportunity to work in a vibrant, innovative culture that balances productivity and self-care. Be part of a fast-growing tech company ranked among the fastest-growing and best for remote work. Take ownership and collaborate with passionate teams driving meaningful business impact. Your Responsibilities Build efficient data models that support analysis and key metrics for internal stakeholders. Optimize analytical workflows with macros, scripts, and packages to improve productivity. Design and develop frontend analytics solutions reports, dashboards, and interfaces to drive data-informed decision making. Contribute to Data Governance initiatives by improving processes. Collaborate with business stakeholders to understand data challenges and develop actionable solutions. Support operational needs across various business units. What You ll Need Currently pursuing a degree in Business Analytics, Information Systems, or a related field. Strong understanding of database concepts (e.g., Entity-Relationship Diagrams). Intermediate SQL skills including joins, CTEs, and window functions. Experience with Business Intelligence tools such as Tableau, Power BI, or Sigma Computing. Experience or familiarity with ELT scripting and tools like Snowflake and dbt Cloud is a plus. Personal Traits Fast learner, adaptable, and comfortable in a fast-paced environment. Excellent organizational and multitasking abilities. Strong analytical skills with clear verbal and written communication to present insights effectively. Collaborative team player with a growth mindset and proactive attitude.

Position: Senior Software Quality Engineering Functional Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in Connected Operations , helping industries such as logistics, field services, construction, and manufacturing digitally transform their physical operations. Samsara s solutions use IoT data to improve safety, efficiency, and sustainability across global infrastructure that powers more than 40% of global GDP. Role Overview Samsara is hiring a Senior Software Quality Engineer Functional to join its Quality Engineering team in Bengaluru. In this hands-on and collaborative role, you will be responsible for functional and automation testing across Samsara s Salesforce platform, with a primary focus on CPQ and Sales Cloud modules. You ll work closely with cross-functional teams to ensure robust test coverage and help build a high-quality, reliable GTM systems ecosystem. This is a hybrid position, requiring 3 days in office and 2 days remote each week. Key Responsibilities Quality Strategy & Execution Develop and maintain comprehensive test plans, test cases, and test scripts for Salesforce CPQ and Sales Cloud applications. Execute functional, regression, integration, and performance tests across critical GTM workflows. Automate repetitive testing scenarios using tools like Selenium, JUnit, or similar. Collaboration & Defect Management Work cross-functionally with Product, Engineering, and Operations to ensure features meet quality and performance standards. Identify, log, track, and validate bug fixes using tools such as JIRA and TestRail. Participate actively in Agile ceremonies and collaborate closely with globally distributed teams. Continuous Improvement Analyze requirements and propose test coverage enhancements early in the SDLC. Mentor junior QA engineers, sharing best practices and championing quality culture. Contribute to performance testing and CI/CD improvements using tools like Jenkins or Bitrise. Minimum Qualifications Bachelor s degree in Computer Science, IT, or related discipline. 7+ years of overall QA experience with 2+ years focused on Salesforce CPQ and Sales Cloud. Solid understanding of Salesforce architecture, metadata, and data models. Proficiency in manual and automated testing, defect tracking, and test management tools. Strong attention to detail and ability to thrive in a fast-paced environment. Preferred Qualifications Salesforce certifications such as CPQ Specialist, Advanced Administrator, or Sales Cloud Consultant. Experience with performance testing tools and Agile development practices. Familiarity with CI/CD pipelines and DevOps processes. Excellent communication and collaboration skills with a mentorship mindset. Qualification : Bachelors degree in Computer Science, IT, or related discipline

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.

Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS company at the forefront of industrial digital transformation. Our core platforms Cognite Data Fusion (CDF) and Cognite Atlas AI leverage AI and data to solve complex challenges across oil & gas, chemicals, pharma, manufacturing, and energy sectors. Recognized globally for innovation, Cognite helps businesses improve efficiency, reduce costs, and operate more sustainably. Our Values Impact: We focus on outcomes that truly make a difference. Ownership: We take responsibility and work inclusively to deliver success. Relentless: We are persistent problem-solvers who view challenges as growth opportunities. About the Team You ll join Cognite s Global Customer Success (GCS) organization spanning offices in Oslo, Austin, Houston, Tokyo, and now Bengaluru. The GCS team includes Project Managers, Data Engineers, Data Scientists, and Solution Architects, all working on high-impact industrial use cases across regions including MENA and SEA. About the Role As a Data Engineer, you'll play a key role in solving real-world industrial problems by designing, building, and optimizing scalable data architectures. You ll create robust pipelines to integrate and contextualize data using Cognite Data Fusion, working closely with cross-functional teams. This is also a growth role with the opportunity to step into a Tech Lead position. Key Responsibilities Design and implement scalable data solutions using Cognite Data Fusion. Integrate data sources using Cognite connectors, SQL, Python/Java, and REST APIs. Develop custom data models for cleansing, discovery, and mapping. Work with data scientists, architects, and PMs to deliver client outcomes. Conduct code reviews and apply best practices in maintainability and quality. Support customers and partners with data engineering tasks and challenges. Collaborate with Engineering and Product teams to influence product roadmap. What You ll Bring Bachelor's or Master s in Computer Science or related field. 3 5 years of experience in data-focused, customer-facing roles. Strong experience with Python, SQL, and REST APIs for production-grade pipelines. Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Experience with Kubernetes, Azure/GCP, and modern DevOps practices. Comfortable with Git, CI/CD, and cloud-native deployment workflows. A proactive, collaborative mindset with a passion for problem-solving and learning. Join a diverse global team with 70+ nationalities and a strong commitment to DEI. Work in a modern hybrid environment at our Bengaluru office (Rathi Legacy, Hoodi). Be part of a flat, transparent culture with direct access to leadership. Build cutting-edge solutions and influence how industries evolve digitally. Learn from top engineers and contribute to ambitious, high-impact projects. Enjoy a respectful, fun, and collaborative workplace where your voice matters. If you re excited to build data infrastructure that powers real change in heavy industries, Cognite offers you a platform to grow, lead, and innovate. We welcome candidates from all backgrounds and identities apply today and be part of something meaningful. Qualification : Bachelor's or Masters in Computer Science or related field.

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).

Senior Backend Engineer Innovation Team Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Industry Innovation and Solutions Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader using AI and data to transform industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Our award-winning platforms include Cognite Data Fusion and Cognite Atlas AI, driving industrial digital transformation worldwide. The Team & Role You ll join Cognite s Innovation Team working on batch processing applications for a key American emulsions industry client. This role focuses on backend development and data engineering to deliver scalable, robust solutions handling complex data workflows with multidisciplinary teams and global stakeholders. Key Responsibilities Architect and develop backend systems for complex batch data processing workflows with a focus on reliability amid inconsistent/incomplete data. Build resilient workflows handling multi-source data and minimizing system impact from component failures. Develop and optimize data models for domain-specific industrial problems. Create data transformation functions to extract actionable insights from raw data. Manage scalable distributed systems and ensure operational reliability. Collaborate cross-functionally to refine requirements and deliver solutions. Work with large datasets using SQL and NoSQL technologies. Troubleshoot full application lifecycle issues, from dev to production. Stay current on tech trends to innovate team practices. Strong backend development experience, distributed systems, and complex domain modeling. Proficiency in Python, SQL, and NoSQL databases. Experience with cloud-based architectures, automated testing, version control, CI/CD pipelines. Problem-solving skills, especially when data or context is incomplete. Self-driven, taking ownership from concept to deployment. Collaborative and excellent communicator, comfortable engaging global stakeholders. Bonus: knowledge of Data Science and Machine Learning. Diverse global team of 70+ nationalities with strong DEI focus. Modern Bengaluru office with hybrid work flexibility. Flat structure with direct leader access, minimal bureaucracy. Work on ambitious, impactful projects with leading tech experts. Active community engagement with partners and customers. Excited to build next-gen industrial data solutions with Cognite? Apply today and make an impact in a fast-growing, innovative SaaS company!

Customer Success Engineer II Technical Support | Cloud & SaaS Location: Bangalore, India Job Type: Full-Time | Customer Success | Cloud Technology | Technical Support About Rubrik s Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is committed to delivering an outstanding post-purchase experience. Our team of seasoned experts ensures smooth deployment, adoption, and continued usage of Rubrik s cloud data management and Zero Trust Data Security solutions. We handle complex technical support cases, guide customers through SaaS product adoption, and provide strategic consultation across a wide range of cloud platforms, data security tools, and enterprise IT ecosystems. Our engineers work closely with cross-functional teams, acting as trusted advisors and primary technical contacts, to maintain high standards of data protection, incident resolution, and customer success. About the Role We are looking for a highly skilled Customer Success Engineer II to join our fast-paced support team. In this role, you will provide enterprise-level technical support for Rubrik s data security solutions via phone, web, chat, and email. You will troubleshoot complex technical issues, support diverse cloud deployments, and deliver excellent service across hybrid infrastructure environments. Key Responsibilities Handle technical support tickets ranging from basic queries to advanced troubleshooting across cloud platforms and virtualized environments. Independently diagnose and resolve customer issues involving snapshots, replication, backup and recovery, data management, and infrastructure. Utilize cloud infrastructure knowledge to provide guidance and recommend best practices (AWS, Azure, GCP). Collaborate with internal teams such as Engineering and Escalations to resolve critical incidents. Deliver high-quality customer communication, ensuring transparency and issue resolution from start to finish. Author and contribute to technical documentation, including knowledge base articles, FAQs, and deployment guides. Continuously improve case resolution processes and provide insights into recurring issues. Analyze and report root causes; work with developers to file bugs and enhance product reliability. Share feedback and insights with product teams to drive platform improvements and enhance customer satisfaction. Support automation, DevOps, and microservices architecture as part of troubleshooting modern enterprise stacks. Required Skills & Experience 3+ years in a technical support, DevOps, or cloud infrastructure role supporting enterprise environments. Strong knowledge of VMware, Linux, Kubernetes, and cloud platforms like AWS, Azure, and Google Cloud Platform (GCP). Hands-on experience with Office 365 APIs, Microsoft SQL databases, scripting languages such as Python or Perl, and automation tools. Deep understanding of SaaS systems, cloud deployment models, and data protection principles. Demonstrated problem-solving skills with a passion for learning and adapting to new technologies. Ability to write clear technical documentation and communicate complex concepts to diverse audiences. Bachelor's degree in Computer Science, Information Technology, or related technical field. Preferred Qualifications Experience in supporting data backup and recovery, storage solutions, or cybersecurity tools. Exposure to Zero Trust Security models, data compliance standards, or incident management workflows. Strong collaboration skills with internal development, QA, and customer success teams. Previous experience contributing to internal knowledge systems or customer-facing documentation. At Rubrik, we are redefining data security and resilience. Our award-winning platform, Rubrik Security Cloud, powered by machine learning, protects enterprise, cloud, and SaaS environments from ransomware, cyber threats, and downtime. You ll work with passionate professionals who are dedicated to helping businesses secure their critical data and recover quickly in times of crisis.

Job Title: Product Analyst Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming how businesses engage customers through human-level AI on WhatsApp. As part of Y Combinator's W21 cohort, we support over 300 top brands like HUL, ITC, Wow Skin Science, and Piramal Health. Our Gen AI agents are driving millions of interactions daily, now expanding into high-stakes sectors like BFSI, Healthcare, and Retail. At LimeChat, we operate like an elite sports team driven, mission-focused, and constantly raising the bar. If you re passionate about data and want to make a measurable impact in a high-growth AI startup, this is your moment. About the Role We're looking for a Product Analyst who will turn complex product data into clear, actionable insights. This role offers end-to-end ownership from designing metrics and running experiments to influencing roadmap decisions. You'll work closely with PMs, engineers, and designers to guide product development and help answer tough questions through data. If you're experienced in analytics, crave ownership, and thrive in fast-paced environments, we want to hear from you. Responsibilities Product & User Analytics Map user journeys to uncover friction in activation, engagement, and retention. Run deep-dive analyses: retention curves, funnel breakdowns, cohort analysis. Design, execute, and analyze A/B tests to validate hypotheses. Create lightweight forecasting models for revenue and payback predictions. Collaborate with PMs to define and track North-Star and supporting metrics. Self-Serve Insights Build and manage Metabase / Looker dashboards for internal teams. Automate reporting for product reviews and roadmap discussions. Maintain clear documentation of metrics, definitions, and data models. Cross-Functional Collaboration Share insights with Growth and CS teams to help drive upsells and prevent churn. Partner with Engineering on event tracking and data QA. Support executive reporting by prepping investor decks and board metrics. Must-Haves 1 2 years in a product analytics, growth analytics, or product ops role. Strong hands-on SQL skills and experience with a BI tool (e.g., Metabase, Looker, Power BI). Comfortable turning ambiguous product questions into clear metrics and explanations. Solid understanding of core metrics like DAU/WAU/MAU, retention, LTV, CAC, payback. Proactive, detail-oriented, and highly outcome-driven. Nice-to-Haves Experience with SaaS or B2B analytics, especially in chatbots or CX automation. Exposure to Python or R for deep-dive analysis or ML experimentation. Understanding of financial metrics and product-led revenue dashboards. Perks & Benefits Unlimited PTO & sick leave Free lunch and snacks Subsidized fitness membership Pet-friendly office Annual team retreat You won t just be running dashboards you ll be shaping product decisions, owning metrics end-to-end, and influencing the roadmap of an AI company at the cutting edge of conversational commerce. This is a career-defining opportunity to grow fast, work with a high-caliber team, and make measurable impact at scale.

Senior Data Engineer Location: Bengaluru, India Employment Type: Full-time, On-site About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by leading Silicon Valley venture capitalists and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data, alongside insights from top experts. We specialize in complex service environments like high-tech devices, manufacturing, and medical devices, empowering service leaders to optimize key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you will be part of a dynamic, innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your chance to join a fast-growing startup and help redefine how AI impacts the future of service optimization. About the Role We are building a real-time analytics platform to improve uptime of connected devices and minimize maintenance costs. This involves collecting, analyzing, and leveraging large volumes of sensor data for observability and predictive analytics. As a Senior Data Engineer, you will have the opportunity to build and maintain scalable, high-performance data systems using modern data engineering tools. The ideal candidate will have hands-on experience with Python, Scala, ELT processes, Lakehouse architecture, Apache Spark, Databricks, real-time streaming systems like Kafka and Flink, and observability tools such as the ELK stack, Prometheus, and Grafana. What You ll Do: Data Model Development: Design and implement advanced data models to extract insights from complex datasets. Collaborative Problem Solving: Work with cross-functional teams to devise data-driven solutions for service optimization. Experimental Analysis: Conduct experiments and analyses to enhance service predictions and outcomes. Actionable Insights: Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts. Mentorship: Guide and mentor junior team members, fostering a collaborative and knowledge-sharing environment. What We re Looking For: Experience: At least 4 years of hands-on experience in data engineering, with a focus on building large-scale data systems. Data Pipeline Expertise: Strong proficiency in Python and Scala for developing data pipelines. Big Data Tools: Proven experience with Apache Spark and Databricks for big data processing and analytics. Observability Tools: Hands-on experience with observability tools like Prometheus, Grafana, and the ELK stack or OpenSearch. Real-Time Data Streaming: Experience working with real-time streaming systems such as Kafka and Flink. Cloud Platforms: Familiarity with cloud platforms like Azure, GCP, or AWS. Problem-Solving Skills: Strong analytical and problem-solving abilities to work with complex data systems in fast-paced environments. Collaboration: Excellent communication and teamwork skills, with the ability to work effectively with cross-functional teams. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to leverage advanced AI technology to enhance service decision-making and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Flexible work arrangements work from home or from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you!

Data Scientist - I | Meesho Careers Location: Bangalore, Karnataka | Department: Tech Join Meesho as a Data Scientist and Shape the Future of E-commerce At Meesho, our Data Scientists work on high-impact projects such as fraud detection, inventory optimization, and platform vernacularization, building intelligent systems that enhance the experience of millions of users across thousands of product categories. What You ll Do Design and develop advanced data models and run experiments to derive insights from complex datasets Enhance product usability and identify new growth opportunities through data Analyze reseller behavior to recommend relevant products and increase engagement Design and optimize discount programs to boost reseller sales Identify end-customer preferences to help resellers improve revenue Use analytics to identify supply chain bottlenecks and help suppliers meet SLA requirements Forecast seasonal demand and contribute to strategic planning by modeling key metrics Mentor junior data scientists and help foster a collaborative learning environment Bachelor's or Master s degree in Computer Science, Data Science, or related fields 1 2 years of professional experience as a Data Scientist in a fast-paced, preferably B2C environment Hands-on experience with machine learning, neural networks, and related techniques Proficiency in tools like SQL, Python, R Strong statistical foundation, with expertise in hypothesis testing and model validation Proven ability to conduct and analyze A/B testing Experience working closely with product and tech teams Bonus Points If You Have: Experience in personalization or similar ML problem spaces Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Redshift About Meesho Meesho is India's top-rated e-commerce platform on Glassdoor, known for empowering millions of entrepreneurs across the country. We provide sellers with zero-commission benefits and the lowest shipping costs, serving every serviceable pincode in India. With over 1.75 million registered sellers, Meesho is helping small businesses grow using a unique business model and world-class tech infrastructure. From first-time internet users to seasoned entrepreneurs, our inclusive platform caters to a diverse customer base across India. Our Mission Democratizing Internet Commerce for Everyone Meesho (short for Meri Shop) is dedicated to enabling 100 million small businesses to succeed online, offering them an affordable, reliable, and easy-to-use platform that mirrors local market preferences. Our Culture and Total Rewards We cultivate a performance-driven, people-first culture that values learning, creativity, and excellence. Our "Mantras" guide our daily decisions, from hiring to growth discussions. Meesho Total Rewards includes: Market-leading compensation, including equity-based benefits Holistic wellness through our MeeCare Program: medical insurance, telehealth, wellness events, gym discounts, and more Work-life balance support: generous leave policies, parental benefits, and retirement plans Learning & development assistance and career mobility programs Fun workplace culture with events, personalized gifts, and team engagement activities Join Meesho to work on meaningful data problems, impact millions, and grow your career with a supportive and innovative team. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, or related fields

Data Scientist with GenAI-2 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. Job Description Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

Data Engineer, Product Analytics Location: Bangalore, India Full Time Company: Meta Meta is looking for an experienced Data Engineer to join our Product Analytics team. In this role, you will work on some of the most extensive data sets in the world, crafting experiences for billions of people and millions of businesses. Your technical expertise and analytical mindset will help shape data solutions across Meta to drive user experience optimization, growth, and strategy. You'll work alongside software engineers, data scientists, and product managers to tackle the most interesting data challenges at a scale few companies can match. Key Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, balancing design and operational cost-benefit tradeoffs. Design and contribute to frameworks that improve logging data efficacy, working with data infrastructure teams to resolve issues. Collaborate with engineers, product managers, and data scientists to understand data needs and represent insights meaningfully. Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership. Implement and maintain security models based on privacy requirements and ensure safeguards are followed to ensure data quality. Design, build, and launch sophisticated data models and visualizations that support multiple use cases across various products. Address complex data integration challenges using optimal ETL patterns, frameworks, and techniques from structured and unstructured data sources. Optimize existing processes, pipelines, dashboards, and systems to enhance the development of data artifacts. Influence product and cross-functional teams to identify data opportunities that will drive impact. Mentor junior team members by providing constructive feedback and receiving feedback to grow as a team. Minimum Qualifications: Bachelor s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. 4+ years of experience in roles focused on data engineering, data analysis, or similar positions, working with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, Scala). Experience with SQL, ETL processes, and data modeling, along with at least one programming language (e.g., Python, C++, C#, Scala). Preferred Qualifications: Master's or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we have revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, empower billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. When you join Meta, you help shape the future of digital connection, taking us beyond screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Data Engineer (Python/Dataiku/Spark/SAS DI) Location: Bangalore Type of Employment: Full-Time Experience Required: 3 to 5 years Job Overview: We are looking for a passionate Data Engineer with expertise in Python, Dataiku, Spark, or SAS DI to join our dynamic team. In this role, you will collaborate with clients to build data pipelines that support their Data and Analytics journey. As a member of our team, you will be responsible for driving data engineering initiatives, developing and implementing ETL solutions, and optimizing data workflows for efficiency and scalability. Key Responsibilities: Data Engineering Initiatives: Collaborate with clients to define and implement data engineering initiatives based on business needs. ETL Development: Design and develop data integration solutions using tools like Python, Dataiku, Spark, and SAS DI. Develop and maintain automated data pipelines for real-time and batch data ingestions. Performance Tuning: Conduct performance tuning and optimize queries and data models to enhance performance and scalability. Database Design: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions and communicate effectively with clients across multiple regions. Troubleshooting: Troubleshoot and resolve data-related issues while ensuring the quality and integrity of the data. Project & Technical Leadership: Act as the technical lead or single point of contact (SPOC) for the client and internal teams, ensuring smooth project delivery. Essential Skills: Data Engineering Tools: Experience with Python, Dataiku, Spark, and SAS DI. SQL Proficiency: Strong SQL experience for extracting data from various databases and performing data analysis. ETL Development: Expertise in designing and developing ETL processes to integrate data from diverse sources into a data mart layer. Data Modeling: Understanding of data modeling concepts, including relational and dimensional modeling. BI Knowledge: Basic understanding of Business Intelligence (BI) tools and analytics needs. Communication Skills: Excellent communication skills to understand business requirements and translate them into technical solutions. Desirable Skills: Data Analysis: Strong analytical skills to perform data analysis, especially for banking products data. BI Tools: Experience with MicroStrategy or Power BI for reporting and dashboarding. Qualifications: 3+ years of experience designing and developing scalable data integration solutions. Familiarity with data analytics and reporting needs. Technical certifications that align with your continuous learning aspirations. Qualities: Strong problem-solving skills with a systematic approach to resolving issues. Ability to influence and implement change confidently. Excellent team player who works effectively in cross-functional teams. Strong communication and presentation skills, capable of interacting with clients and presenting ideas persuasively. Fluent in English, both written and spoken, for effective communication. Opportunity to work with cutting-edge data engineering tools and technologies. Be a key player in building and optimizing data pipelines for clients data and analytics needs. Competitive salary, benefits, and a dynamic, innovative work culture.

Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).

Job Title: Data Analyst Location: Bengaluru Company: LoadShare Networks About LoadShare Networks At LoadShare, we re building India s largest intra-city logistics marketplace. Founded in 2017, we are a Series C startup backed by a strong set of investors (Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, Filter Capital), focused on building a profitable and impactful business. We work with all major enterprise clients covering a wide range of intra-city use cases, including: Quick Commerce: Blinkit, Zepto, BBNow Food Delivery: Swiggy, Zomato Hyperlocal: Apollo, Licious Grocery: Reliance, Spencers, ONDC eCommerce: Flipkart, Amazon, Meesho, ShipRocket Bike Taxi: Uber, Ola Scale & Reach: Delivering over 500K orders per day across food, e-commerce, grocery, etc. Operating in 500+ towns nationwide with a fleet of 20K+ riders. Our tech platform powers 1M+ shipments daily. Role Overview As a Data Analyst at LoadShare, you will be an integral part of our Data team, responsible for designing, developing, and maintaining analytics reports and dashboards that measure, monitor, and alert the business regarding operations and product metrics. You ll work closely with internal teams to troubleshoot data issues, build ETL pipelines, and contribute to process improvements and innovation. Key Responsibilities Analyze, design, and develop analytics reports and dashboards to track key business metrics, providing insights into operational performance. Use your strong SQL skills to troubleshoot data issues in complex workflows and work with product and tech teams to resolve them. Build and maintain ETL pipelines to support data movement and integration across systems. Create ad-hoc reports as requested, ensuring timely and accurate delivery. Present findings and actionable recommendations to both business and non-technical stakeholders using effective storytelling techniques. Collaborate with product, business, and tech teams to understand the business domain and deliver insightful reports and dashboards that support business growth and optimization. Continuously improve data models, ensuring data is accessible and accurate for decision-making across the organization. Work on in-house technology projects to bring innovation and process improvements. Job Requirements Technical Skills: Strong proficiency in SQL and experience with writing and tuning SQL scripts. Around 1-2 years of experience coding in Python (experience in web scraping is a plus). Experience in data modeling, data warehousing, and building ETL pipelines. Familiarity with Business Intelligence (BI) tools such as Zoho Analytics, Metabase, Redash, Tableau, or Power BI. Collaboration: Ability to partner effectively with product, business, and tech teams to understand the business needs and develop reports and dashboards that support business growth. Communication: Strong communication skills, both written and verbal, with the ability to present complex data and insights to both technical and non-technical stakeholders. Problem-Solving: Proactive in identifying data issues, troubleshooting, and providing solutions that improve data integrity and usability. Key Skills SQL, Python, ETL Pipelines Data Modeling, Data Warehousing BI Tools: Zoho Analytics, Metabase, Redash, Tableau, Power BI Data Analysis & Reporting Communication & Collaboration

Job Title: Application Developer - ETL and Data Management Introduction: In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to a wide range of public and private sector clients globally. Our delivery centers leverage locally-based skills to help clients drive innovation and the adoption of new technologies. A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the world. You will work with leaders across industries to improve the hybrid cloud and AI journeys for some of the most innovative and valuable companies worldwide. Your ability to make a meaningful impact for clients is enabled by our strategic partner ecosystem and robust technology platforms, including Software and Red Hat. Curiosity and a constant quest for knowledge are key to success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, explore new ideas, and come up with creative solutions that result in groundbreaking impact for a wide network of clients. Our culture is built on evolution and empathy, focusing on long-term career growth and development in an environment that values your unique skills and experience. Your Role and Responsibilities: ETL Workflow Development: Develop and implement ETL workflows by creating ETL jobs, and data models in datamarts using technologies such as Snowflake, DBT, Unix, and SQL. Batch Processing Redesign: Redesign Control M Batch processing for ETL job builds to run efficiently in a production environment. System Evaluation and Improvement: Study the existing system to evaluate its effectiveness and design new systems to improve workflow efficiency. Business Program Analysis & Support: Perform requirements identification, business program analysis, testing, and system enhancements while providing production support. Agile Environment: Work effectively in an Agile environment and gain familiarity with tools such as JIRA and SharePoint. Client Interaction: Good written and verbal communication skills are essential as you will interact directly with client counterparts to understand requirements and provide solutions. Required Technical and Professional Expertise: Experience: A minimum of 3 years of experience in developing ETL applications, implementing workflows, and creating data models using Snowflake, DBT, Unix, and SQL technologies. Agile Environment: Strong understanding of working in an Agile environment and proficiency in tools like JIRA and SharePoint. Problem-Solving Skills: Ability to manage change and proven time management skills. Strong interpersonal skills to contribute effectively to team efforts. Continuous Learning: Stay up-to-date with technical knowledge by attending educational workshops and reviewing relevant publications. Preferred Technical and Professional Expertise: ETL Development: Experience in developing triggers, functions, and stored procedures to support ETL workflows. Impact Analysis: Assist with impact analysis of changing upstream processes on the Data Warehouse and reporting systems. ETL & Reporting Support: Participate in the design, testing, support, and debugging of new and existing ETL and reporting processes. Data Profiling & Troubleshooting: Perform data profiling and analysis using a variety of tools, troubleshoot and support production processes, and maintain documentation. Innovation: Be part of a team that drives global change and leverages cutting-edge technologies to solve complex problems. Growth: Gain access to continuous learning and career development opportunities to further your expertise in data management and cloud technologies. Collaboration: Work with a diverse team in a collaborative environment that values new ideas and creative solutions. Global Impact: Your work will contribute to improving business operations and technological advancements for clients around the world. If you're passionate about driving innovative solutions, working with a variety of clients, and continuously evolving your skills, IBM Consulting is the perfect place for you to advance your career.