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 solid 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
Robust experience with Databricks, Spark, PySpark, and SQL
Hands-on experience with AWS cloud services (S3, Glue, Redshift, EMR, Lambda)
Experience in building data pipelines and data warehousing solutions
Knowledge of CI/CD, Git, and Agile methodologies
Positive communication and problem-solving skills

Nice to Have
Experience with Delta Lake, MLflow, or Lakehouse architecture
Exposure to Airflow, Kafka, or streaming data pipelines

Note: Immediate joiners preferred.

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