Lead Cloud Data Engineer - Manager

State Street

Hyderabad, India
Hybrid
Databricks platform
Spark expertise
Pyspark and sql transformations
Design, develop, and optimize end-to-end data pipelines using Databricks and implement/manage Lakehouse architecture with Delta tables

Job Summary

  • Design, develop, and optimize end-to-end data pipelines using Databricks and implement/manage Lakehouse architecture with Delta tables.
  • Lead troubleshooting, root cause analysis, and performance tuning, while collaborating with Architects, Business Analysts, and downstream consumers.
  • Support CI/CD implementation for Databricks jobs and notebooks, mentor junior engineers, and ensure adherence to security, governance, and compliance standards.

Matching Summary

Design, develop, and optimize end-to-end data pipelines using Databricks and implement/manage Lakehouse architecture with Delta tables.

Skills & Requirements

Must-have

  • Databricks platform
  • Spark expertise
  • PySpark and SQL transformations
  • AWS Cloud Data Engineering
  • ETL jobs across multiple data sources
  • performance tuning
  • Git, Jenkins, enterprise job scheduling tools

Nice-to-have

  • technical leadership mindset
  • collaboration across global teams
  • proactive risk identification
  • Databricks or Cloud certifications
  • visualization tools exposure

Key Requirements

  • 10-14 years hands-on experience
  • Data Modeling and DB design expertise
  • Advanced SQL and Python skills
  • Agile delivery environments experience
  • Knowledge of CI/CD tools

Work Rights

Not specified

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