Senior Data Engineer

5 - 8 years

10 - 20 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

Senior Data Engineer

Key Responsibilities:

  • Install, configure, and administer data platforms:

    StreamSets, Apache Spark, Informatica, Apache NiFi

  • Develop real-time and batch data pipelines using

    PySpark

    (Scala is a plus)
  • Administer

    StreamSets Data Collector and Control Hub

    for pipeline deployment and monitoring
  • Automate data flows using

    Apache NiFi

    , including processor configuration and cluster coordination
  • Upgrade and migrate data ingestion tools with minimal downtime
  • Write scalable and efficient

    Python

    code for data processing and automation
  • Perform complex

    SQL

    transformations and optimize database interactions
  • Work with diverse databases:
    • MPP

      : Teradata, Greenplum
    • OLTP

      : Oracle, SQL Server, PostgreSQL
    • In-memory

      : SAP HANA, MemSQL
    • Big Data

      : Hive, HBase, Kudu
  • Integrate automated testing using

    CI/CD tools

    (GitLab preferred, Jenkins acceptable)
  • Implement deployment pipelines and version control strategies
  • Ensure platform security, including

    TLS hardening

  • Monitor production environments and perform root cause analysis
  • Enforce coding standards and data governance practices
  • Schedule and orchestrate workflows with error handling and retry mechanisms

Mandatory Skills:

  • Data Ingestion & Transformation Tools
  • StreamSets

    ,

    Spark (Python preferred)

    ,

    Informatica

    ,

    Apache NiFi

  • Strong proficiency in

    Python

    and

    SQL

Secondary Skills:

  • CI/CD tools: GitLab, Jenkins
  • Database technologies: Teradata, Greenplum, Oracle, SQL Server, PostgreSQL, SAP HANA, MemSQL
  • Big Data platforms: Hive, HBase, Kudu
  • Knowledge of data governance, lineage tracking, and validation frameworks

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