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    Job · 15680888

    BENGALURU · FULLTIME

    Data Platform Modernization Engineer - Junior (Databricks)

    NTT DATA BUSINESS SOLUTIONS logo

    NTT DATA BUSINESS SOLUTIONS

    Bengaluru · onsite · Posted 47d ago

    Sourced fromNaukri
    Undisclosed6–11 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Req ID: phone_number
    Job Summary
    We are currently seeking a Data Platform Modernization Engineer - Junior (Databricks) to join our team in Bangalore, Karntaka, India.
    Day-to-Day Job Duties
    • Analyze existing Informatica workflows, mappings and AWS Glue jobs to understand source-to-target mappings and transformation logic.
    • Develop Databricks notebooks and data pipelines to migrate existing ETL workloads to the Databricks Lakehouse.
    • Develop data transformations using Python, PySpark, Spark SQL and Databricks SQL.
    • Implement Bronze, Silver and Gold layer processing following established project architecture and coding patterns.
    • Develop batch and incremental processing pipelines using Delta Lake and established watermark/control mechanisms.
    • Develop and maintain Databricks Jobs/Workflows and Lakeflow Declarative Pipelines as required.
    • Reuse common project frameworks for logging, auditing, data quality, error handling and notifications.
    • Convert Informatica transformations, mappings, lookups and business rules into equivalent Databricks implementations while preserving existing business logic.
    • Support migration of AWS Glue jobs and database-based processing into Databricks.
    • Perform unit testing and source-to-target data reconciliation for migrated pipelines.
    • Investigate and resolve data, SQL, PySpark and pipeline execution issues.
    • Support integration testing, regression testing, UAT and production validation.
    • Work with senior developers and technical leads to resolve technical issues and dependencies.
    • Follow established coding, performance, security and development standards.
    • Participate in code reviews and incorporate review feedback.
    • Prepare technical documentation and support knowledge transfer for migrated workloads.
    • Support deployment, monitoring, production stabilization and cutover activities.
    Basic Qualifications
    • 36 years of experience in data engineering, ETL development or application/data platform development.
    • Hands-on experience with Databricks and Apache Spark.
    • Strong development skills in Python/PySpark and SQL.
    • Experience with:
      • Databricks notebooks
      • Spark SQL / Databricks SQL
      • Delta Lake
      • Databricks Jobs/Workflows
    • Experience developing batch or incremental ETL/ELT pipelines.
    • Experience with one or more ETL technologies such as Informatica PowerCenter, AWS Glue, SSIS or similar.
    • Experience working with relational databases and SQL-based data processing.
    • Understanding of data transformation, source-to-target mapping and ETL development.
    • Experience with unit testing, data validation and troubleshooting.
    • Basic understanding of Bronze/Silver/Gold or other layered data architectures.
    • Ability to work within an established development framework and follow coding standards.
    • Good analytical, problem-solving and communication skills.
    • Bachelor's degree in Computer Science, Information Technology, Engineering or equivalent experience.
    Nice to Have
    • Databricks certification.
    • Experience with Delta Live Tables.
    • Experience with Unity Catalog.
    • Experience with Databricks Asset Bundles and CI/CD.
    • Experience with AWS S3, Glue and Redshift.
    • Experience with Auto Loader or streaming ingestion.
    • Experience with CDC and SCD Type 1 / Type 2 processing.
    • Experience with data quality, audit and error-handling frameworks.
    • Experience with Informatica PowerCenter mappings/workflows.
    • Experience with AWS services including S3, Glue, Lambda and Redshift.
    • Experience with Spark/Delta performance optimization.
    • Experience working in a cloud data modernization or migration project.

    Sourced from naukri

    Section · 02

    Skills

    data qualityAws GlueCdcApache SparkAuditingcoding standardsApacheAws Servicesamazon web servicesClient SuccessBankingAWS S3Cloud DataData EngineeringcloudCommunication SkillsArchitectureData ProcessingData PipelineArtificial Intelligence

    Section · Company

    About NTT DATA Business Solutions

    NTT DATA BUSINESS SOLUTIONS logo

    NTT DATA BUSINESS SOLUTIONS

    IT Services & Consulting

    4k+

    employees

    1989

    37 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    NTT DATA Business Solutions helps clients innovate and transform through expert SAP solutions, advisory, implementation, and managed services.

    Industries

    IT Services & Consulting

    Employee ratings

    2,105 reviews

    4.1/ 5

    Culture

    4.0

    Career growth

    3.5

    Work-life

    4.0

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