AWS Databricks Engineer

Job Summary

• We are looking for a skilled AWS Databricks Engineer to design, build, and optimize scalable data pipelines and analytics solutions on cloud platforms.
• The ideal candidate should have strong hands-on experience with Databricks, Spark, and AWS services.

Responsibilities

• Design and develop scalable data pipelines using Databricks and Apache Spark
• Build ETL/ELT workflows using Python, SQL, and PySpark
• Integrate data from multiple sources (structured & unstructured)
• Optimize data processing and performance on Databricks clusters
• Work with AWS services like S3, Glue, Redshift, Lambda, EC2, and RDS
• Implement data governance, security, and best practices
• Collaborate with data engineers, analysts, and business stakeholders

Required Skills

• Databricks
• Spark
• PySpark
• SQL
• AWS
• Glue
• Redshift

Nice to Have

• Delta Lake
• MLflow
• Lakehouse architecture
• Airflow
• Kafka
• Streaming data pipelines

Immediate joiners preferred.