Data Engineer

Required :
5+ years of experience in Data Engineering.
Hands-on experience with Databricks and Apache Spark (PySpark preferred).
Strong SQL skills and data modeling knowledge.
Experience with ETL/ELT development and data warehousing concepts.
Familiarity with cloud platforms (AWS/Azure/GCP).


Key Responsibilities:

Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
Build and optimize ETL/ELT workflows for large datasets.
Work with structured and unstructured data across multiple sources.
Collaborate with data analysts, data scientists, and business stakeholders.
Ensure data quality, integrity, and governance standards.
Optimize performance and troubleshoot data pipeline issues.
Implement data solutions on cloud platforms (AWS, Azure, or GCP).