We are looking for an experienced AWS Databricks Engineer with strong expertise in cloud data engineering, big data processing, and scalable ETL/ELT solutions. Required Skills:
AWS Services: S3, EC2, Lambda, Glue, Redshift
Databricks & Apache Spark
PySpark / Scala
Python & SQL
ETL/ELT Pipeline Development
Data Warehousing Concepts
CI/CD & DevOps Practices
Preferred:
Kafka / Kinesis Streaming
Delta Lake Architecture
Strong analytical & communication skills
Responsibilities:
Build and optimize scalable data pipelines on AWS
Develop large-scale ETL/ELT workflows
Process and transform data using Spark
Integrate APIs, databases, and streaming platforms
Ensure data quality, governance, and performance optimization
Collaborate with data scientists, analysts, and engineering teams