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Job Description
Structured overview of role & requirementsAbout This Role
Lead enterprise-scale modernization of legacy HR data warehouses and ETL platforms to cloud-native, AI-enabled Lakehouse architectures using Medallion design principles.
Design, develop, and optimize scalable, secure data platforms and pipelines leveraging Python, PySpark, SQL, and ETL/ELT frameworks on cloud platforms like Microsoft Fabric.
Drive migration strategies and execution for large-scale legacy data environment transformations ensuring data integrity and business continuity.
Minimum Requirements
5+ years of Database Engineering or equivalent experience.
Experience leading enterprise-scale data modernization initiatives (5-10+ years in data engineering recommended).
Proficiency with Python, Apache Spark/PySpark, SQL, ETL/ELT design, and API integration.
Not explicitly mentioned: Notice period and mandatory educational degree.
Ideal Candidate Profile
Experienced in Cloud Data Platforms with demonstrated skills in Lakehouse, Data Mesh, and Data Fabric architectures.
Proven track record in migrating large-scale on-premise data environments to cloud platforms (Azure, Microsoft Fabric, GCP, or Databricks).
Capable of leading complex, multi-stakeholder technical initiatives with strategic impact in HR/Enterprise data domains and familiarity with AI/ML integration in data engineering.