About the job
Client: Prestigious client of Weekday
Location: Gurugram, Haryana, India
Role overview
This Senior Data Engineer position centers on designing, developing, and maintaining scalable ETL and ELT pipelines for both batch and real-time data processing. The role requires at least 7 years of data engineering experience, with a strong background in building and optimizing data workflows using Databricks (PySpark/Python) and advanced SQL. Experience should cover both relational and cloud-based data platforms.
What you will do
- Develop and maintain ETL and ELT pipelines for batch and streaming data
- Enhance data workflows with Databricks (PySpark/Python)
- Write efficient SQL queries for data transformation and analysis
- Manage data across relational and cloud platforms
- Perform complex data transformations, cleansing, and validation to ensure data quality and integrity
- Build and maintain analytics-ready datasets for business intelligence, reporting, and data science
- Collaborate with data scientists, BI teams, and business stakeholders to translate requirements into scalable solutions
- Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability
- Apply best practices in data governance, security, documentation, and version control (Git)
What we value
- Experience leading teams and managing client relationships
- Background in pre-sales or client-facing activities

