Data Engineering Manager - Immediate Joiner

6 - 11 years

25 - 37 Lacs

Posted:22 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • Lead and mentor a team of data engineers, providing technical guidance, performance feedback, and career development.
  • Architect, develop, and maintain scalable ETL/ELT pipelines using

    AWS services

    ,

    PySpark

    ,

    SQL

    , and

    Python

    .
  • Drive the design and implementation of robust

    data models

    and

    data warehouses/lakes

    to support analytics and reporting.
  • Ensure data quality, security, and governance across all stages of the data lifecycle.
  • Collaborate with product and engineering teams to integrate data solutions into production environments.
  • Optimize data workflows and performance across large, complex datasets.
  • Manage stakeholder relationships and translate business needs into technical solutions.
  • Stay up to date with latest technologies and recommend best practices for data engineering.

Technical Skills & Qualifications

  • 7+ years of experience in Data Engineering or related roles.
  • 2+ years in a leadership or managerial capacity.
  • Deep expertise in

    AWS ecosystem

    , including services like S3, Glue, Redshift, Lambda, EMR, Athena, DynamoDB, and IAM.
  • Proficient in

    PySpark

    ,

    SQL

    , and

    Python

    for large-scale data processing and transformation.
  • Strong understanding of

    ETL/ELT development

    ,

    data modeling (star/snowflake schemas)

    , and

    data architecture

    .
  • Experience in managing data infrastructure, CI/CD pipelines, and workflow orchestration tools (e.g., Airflow, Step Functions).
  • Knowledge of data governance, security, and compliance best practices.
  • Excellent communication and leadership skills.

Preferred Qualifications

  • AWS Certified Data Analytics, Solutions Architect, or equivalent certifications.
  • Experience working in Agile environments.
  • Familiarity with BI tools like QuickSight, Tableau, or Power BI.
  • Exposure to machine learning workflows or MLOps is a plus.

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