Summary from listing
The employer is seeking an experienced Data Engineer (Lead) to design, develop, and maintain scalable data pipelines and processing solutions using Databricks, PySpark, Python, Apache Spark, Delta Lake, and Databricks Workflows. The role includes ETL/ELT pipeline development, data transformation and validation, performance optimization, troubleshooting, and collaboration with data engineering, analytics, and other technical teams. Candidates should have 3–5 years of data engineering experience, strong Databricks and Spark expertise, cloud platform knowledge, and experience with ETL/ELT pipelines; Azure Databricks, data lake services, DBT, Snowflake, and Databricks certification are advantageous.
