Data Engineering & Analytics Lead
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Job Description
Structured overview of role & requirementsAbout This Role
Own design, development, and maintenance of scalable ETL/ELT pipelines using Databricks, PySpark, Python, and Azure Data Factory.
Build and optimize enterprise-grade data solutions leveraging Databricks Lakehouse and Delta Lake, including implementing Medallion Architecture layers.
Develop and maintain data models, write optimized SQL queries, and create interactive Power BI dashboards to support business analytics demands.
Minimum Requirements
10+ years of experience in data engineering and analytics with expertise in Databricks, SQL, PySpark, Python, Power BI, and Azure Data Factory.
Strong skills in building data pipelines, data modeling, and implementing Medallion Architecture (Bronze, Silver, Gold layers).
Proven experience in ETL/ELT development and performance optimization of data solutions.
Work Experience Required: 10+ years. Location: Trivandrum or Kochi.
Ideal Candidate Profile
Deep expertise in modern data platforms, specifically Databricks Lakehouse architecture with Delta Lake and Medallion layers.
Hands-on experience integrating AI/LLM-enabled tools for data analysis and analytics development.
Experience collaborating cross-functionally with Data Architects, Business Analysts, and Product Owners, supporting CI/CD and version control processes.