Introduction
We are looking for a strong Data Engineering & Analytics professional with 10+ years of experience in building data pipelines, data models and analytics solutions, with hands-on expertise in Databricks, SQL, PySpark, Python and Power BI.
Responsibilities include:
- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and Azure Data Factory.
- Build and optimize enterprise-grade data solutions using Databricks Lakehouse architecture and Delta Lake.
- Develop high-performance data transformation workflows and implement data quality controls.
- Create and maintain logical and physical data models to support reporting, analytics, and business intelligence requirements.
- Write and optimize complex SQL queries, stored procedures, views, and data transformation logic.
- Design and implement Medallion Architecture (Bronze, Silver, Gold layers) for modern analytics platforms.
- Develop interactive dashboards, reports, and analytical solutions using Power BI.
- Collaborate with business stakeholders to understand reporting and analytics requirements.
- Ensure data governance, metadata management, and data cataloging best practices are followed.
- Implement performance optimization strategies across data pipelines, Databricks workloads, and reporting solutions.
- Leverage AI/LLM-enabled tools for data analysis, insight generation, and analytics acceleration.
- Work closely with cross-functional teams including Data Architects, Business Analysts, and Product Owners.
- Support CI/CD and version control practices for data engineering solutions.