Databricks Engineer (AWS)

Key Responsibilities

• Develop and maintain data pipelines and analytics solutions using Databricks and Spark
• Write production-ready Python and SQL code for data processing and analysis
• Work with Unix/Linux environments for ETL and data pipeline execution
• Leverage AWS cloud services such as Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, and IAM
• Perform real-time analytics and large-scale data processing
• Document and maintain technical solutions and BI/analytics workflows
• Collaborate with cross-functional teams to deliver data-driven solutions