Senior Data Engineer

Experience Required: 5 to 7 years

Job Description:

We are hiring a senior data engineer to lead the development of scalable data pipelines and enable enterprise analytics. The role involves working with Databricks, Snowflake, PySpark, Microsoft Fabric, and Power Platforms.

Key Responsibilities:

Design and maintain scalable ETL and ELT pipelines using Databricks and Snowflake

Tune complex SQL queries and implement stored procedures, transformations, and CDC patterns

Integrate data flows across Microsoft Fabric, Databricks, and Snowflake ensuring governance and monitoring

Provide curated datasets and semantic models for Power BI, Power Apps, and Power Automate

Collaborate with stakeholders, troubleshoot production issues, document workflows, and mentor peers

Required Skills:

Strong experience in Python with PySpark

Expertise in SQL performance tuning and pipeline orchestration

Hands on experience with Databricks, Snowflake, Microsoft Fabric, and Power Platforms

Experience in stakeholder engagement and documentation

Advanced Power BI experience is a plus

Job Type: Full-time

Pay: Up to ₹1,800,000.00 per year

Work Location: In person