We are looking for a solid 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.

Work Mode: Remote

Work Time: 6.30 PM to 3:00 AM (CST Time zone)

Primary Skills :

- Databricks (Delta Lake, Lakehouse, data transformation, performance optimization)
- SQL (advanced queries, joins, window functions, performance tuning, data transformation)
- PySpark (transformations, joins, aggregations, window functions, deduplication, optimization )
- Python
- ETL / ELT Pipeline Development
- Data Modeling & Schema Design
- Power BI (data modelling, dashboards, analytics)
- Azure Data Factory (ADF)
- Data Lake / Lakehouse Architecture / Medallion Architecture
- AI-assisted Data Analysis & Analytics (leveraging AI/LLMs for data analysis, insight generation and analytics development)

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.

📌 Data Engineering & Analytics Lead (CST timing) (India)
🏢 Reflections Info Systems
📍 India