Lead Data Engineer

7 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Lead Data Engineer


Location: Banglore/Pune (Hybrid)

Mode: Hybrid

Shift Timing: 2 PM to 11 PM


Experience: 7-12 years.

Purpose:

Technical Lead


Key Responsibilities

  • Mainframe Data Ingestion:

  • Design and implement scalable pipelines to extract, parse, and ingest RPC logs and technical attributes from mainframe systems into Delta Lake on Databricks.
  • ML-Ready Data Engineering:

  • Transform and structure data for time-series modelling and anomaly detection across thousands of models.
  • ML Workflow Integration:

  • Collaborate with ML engineers to ensure data pipelines support SARIMA, ANN, and other model types; enable automated retraining and scoring.
  • Performance Optimization:

  • Tune Spark jobs, Delta Lake storage, and cluster configurations for billions of records and real-time aggregation.
  • FinOps & Cost Control:

  • Monitor and optimize Databricks resource usage; implement auto-scaling and cost-aware job scheduling.
  • Monitoring & Alerting:

  • Integrate Databricks-native alerting for pipeline health, data anomalies, and job failures.

Required Skills

  • Strong hands-on experience with

    Databricks

    ,

    Apache Spark

    ,

    Delta Lake

    , and

    MLflow

  • Proven expertise in

    mainframe data integration

    (e.g., SMF, RPC logs, VSAM, DB2)
  • Strong Python and PySpark programming skills

Preferred Skills

  • Databricks experience with

    CI/CD tools

    GitHub Actions
  • Knowledge of

    FinOps principles

    for cloud cost optimization

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