Job Title: AWS Data Engineer (Databricks)
Experience: 4-8 Years
Location: Bengaluru/Noida/Gandhi Nagar/Pune/Chennai
Job Summary
We are seeking an experienced AWS Data Engineer with solid expertise in Databricks, Apache Spark, AWS data services, Python/Scala, and SQL. The candidate will be responsible for designing, developing, and optimizing scalable ETL/ELT pipelines, supporting data lake and data warehouse solutions, and enabling data-driven business insights.
Key Skills
Databricks
Apache Spark
AWS (S3, Glue, Lambda, Redshift)
Python or Scala
Advanced SQL
ETL/ELT Development
Data Warehousing & Data Modeling
Airflow / Databricks Workflows
Key Responsibilities
Build and maintain ETL/ELT pipelines in Databricks.
Integrate Databricks with AWS data services.
Develop and optimize Spark-based data processing solutions.
Support data lake and data warehouse architectures.
Implement workflow orchestration, data quality, and governance.
Collaborate with stakeholders to deliver scalable data solutions.
Qualifications
4-8 years of Data Engineering experience.
Strong hands-on experience with Databricks and AWS data services.
Proficiency in Python/Scala and SQL.
Good understanding of data warehousing and data modeling.