Lead Data Engineer, Bangalore

8 - 12 years

0 - 3 Lacs

Posted:8 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Location:

Lead Data Engineer

Key Responsibilities:

  • Design and develop scalable data pipelines

    using Azure Data Factory and Databricks.
  • Lead the

    implementation of ETL/ELT workflows

    using PySpark and SparkSQL.
  • Architect and optimize

    data lake and data warehouse solutions

    on Azure.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Ensure

    data quality, governance, and security

    across all data platforms.
  • Implement

    CI/CD pipelines

    for data engineering workflows.
  • Monitor and troubleshoot performance issues in Spark jobs and ADF pipelines.
  • Mentor junior data engineers and contribute to best practices and standards.

Mandatory Skills & Experience:

  • Databricks (Mandatory):

    • Extensive experience in building and managing notebooks, clusters, jobs, and workflows.
    • Proficient in

      PySpark

      for distributed data processing.
    • Experience with

      Delta Lake

      ,

      Unity Catalog

      , and

      Databricks SQL

      .
  • Azure Data Factory (ADF):

    • Strong exposure to building and orchestrating pipelines.
    • Integration with various Azure services (Blob Storage, Synapse, Key Vault, etc.).
  • PySpark:

    • Advanced programming skills in PySpark for data transformation and aggregation.
    • Performance tuning of Spark jobs.
  • SQL & SparkSQL:

    • Strong command over writing optimized SQL queries.
    • Experience with SparkSQL for querying large datasets.

Preferred Skills:

  • Experience with

    Azure Synapse Analytics

    ,

    Azure Functions

    , and

    Azure DevOps

    .
  • Familiarity with

    data modeling

    ,

    data warehousing

    , and

    dimensional modeling

    .
  • Knowledge of

    data governance frameworks

    and

    metadata management

    .
  • Exposure to

    streaming data

    using Spark Structured Streaming or Azure Event Hub.

Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, or related field.
  • 8+ years of experience in data engineering roles.
  • Certifications in Azure or Databricks are a plus.

Regards

Manosh Happy

manosh.m@itcinfotech.com

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ITC Infotech

Information Technology and Services

Bengaluru

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