AWS Databricks Engineer

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 strong 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.

Mandatory Certification

• AWS Databricks Associate Certification (Mandatory)