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    Job · 20034673

    PUNE · FULLTIME

    Data Engineer

    Bajaj Finance logo

    Bajaj Finance

    Pune · onsite · Posted 20d ago

    Sourced fromNaukri
    Undisclosed3–6 yrsfulltimePune

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Job Summary
    To effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB) , Azure Data Factory (ADF) and SQL
    Responsibilities
    • Translate business requirements into technical solutions in collaboration with the PMO team.
    • Own end-to-end delivery of data projects, ensuring on-time execution and adherence to quality standards.
    • Design technical architecture and guide development efforts for enhancements and new projects.
    • Develop and maintain robust ETL pipelines and data integration modules across systems.
    • Ensure high data quality, data anomaly resolution of critical process issues.
    • Monitor and resolve performance bottlenecks in data workflows and programs.
    • Establish best practices, standard operating procedures, and drive their implementation across teams.
    • Act as a liaison with business users and product managers to support daily data needs and strategic initiatives.
    • Coordinate with internal and external development teams to troubleshoot and resolve issues efficiently.
    • Manage workload through effective planning, prioritization, and progress tracking.
    Key Decisions / Dimensions
    • Define semantic layer design and metric definitions
    • Prioritize data vs AI optimization trade-offs
    • Handle production issues with RCA and long-term fixes
    • Drive architectural decisions for lakehouse + Data integration
    Major Challenges
    • Ensuring Data Delivery within TAT
    • Driving adoption of GenAI-based BI over traditional dashboards
    • Balancing performance, cost, and scalability
    • Managing dependencies across data engineering, AI, and business teams
    Required Qualifications and Experience Must Have
    • Azure Databricks - PySpark, SQL, Delta Lake
    • Semantic Modeling & Metrics Layer design
    • Hands-on with Databricks workflows
    • Pyspark (Pandas, PySpark, FastAPI)
    • Azure Data Factory (ADF) for ETL pipelines
    • Strong SQL and data modeling skills
    Good to Have
    • Cosmos DB / MongoDB (NoSQL concepts)
    • Azure Data Explorer (KQL)
    Data Stack (Mandatory for Screening)
    • Databricks Lakehouse - PySpark, SQL, Delta Lake
    • AI for BI - Databricks Genie, Genie Rooms, Instructions, Agents
    • ETL & Orchestration - Azure Data Factory
    • Programming - PySpark
    • Cloud Platform - Azure (Preferred)
    • DevOps - CI/CD Pipelines, Git

    Sourced from naukri

    Section · 02

    Skills

    data qualityData EngineerCI/CD Pipelinescloud platformCosmos DBBusiness RequirementsCOSMOSAI OptimizationData EngineeringcloudArchitectureData IntegrationAzure Data FactoryAzure DatabricksMicrosoft AzureData ModelingArtificial Intelligence

    Section · Company

    About Bajaj Finance

    Bajaj Finance logo

    Bajaj Finance

    NBFC

    64.1k+

    employees

    1987

    39 years old

    Pune, Maharashtra

    India

    About

    Bajaj Auto Finance offers Two Wheeler loans, Three Wheeler loans & Quote Loan at low-interest rates.

    Industries

    NBFCFinancial Services

    Employees rate it well for

    Work Life Balance807Salary796Work Culture632Work Environment356Career Growth348

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    Data Engineer · waiting for your command