Senior Data Engineer

Databricks Data Engineer – PySpark | SQL | Delta Lake - Remote.
Experience: 5–10 Years
Location: Remote – India
Engagement: Contract
Duration: 6+ months, with possibility of extension
About the Role
We are looking for a Senior Data Engineer with strong hands-on experience in Databricks, PySpark, Python, SQL, and Delta Lake to build and optimize scalable enterprise data pipelines.
Key Skills
Strong hands-on experience with Databricks and Apache Spark/PySpark
Strong programming skills in Python and SQL
Experience with Delta Lake and Lakehouse architecture
Proven experience developing ETL/ELT data pipelines
Experience with Databricks Workflows and Medallion Architecture
Experience with cloud platforms such as Azure, AWS, or GCP
Strong understanding of data modelling, data quality, and performance optimization
Experience with data lakes, data warehouses, and large-scale data processing
Knowledge of Git, CI/CD, and data pipeline monitoring
Strong debugging, problem-solving, and collaboration skills
Responsibilities
Design, develop, and optimize scalable data pipelines using Databricks and PySpark.
Build reliable ETL/ELT workflows using Python and SQL.
Implement Delta Lake and Lakehouse architecture patterns.
Develop data transformation workflows following Medallion Architecture.
Optimize Spark jobs, SQL queries, and data processing performance.
Implement data quality checks, validation, and error handling.
Support cloud-based data platforms and enterprise data integrations.
Collaborate with Data Architects, Data Engineers, and business stakeholders.
Required Stack: Databricks | PySpark | Python | SQL | Delta Lake | ETL/ELT | Cloud
Apply if you have strong hands-on Databricks and PySpark experience building enterprise data pipelines.

Work arrangement
Yes