Job
Description
Location: Hyderabad (Hybrid) Key Responsibilities: 1. Data Engineering (AWS Glue & AWS Services): Design, develop, and optimize ETL pipelines using AWS Glue (PySpark). Manage and transform structured and unstructured data from multiple sources into AWS S3, Redshift, or Snowflake. Work with AWS Lambda, S3, Athena, Redshift for data orchestration. Implement data lake and data warehouse solutions in AWS. 2. Infrastructure as Code (Terraform & AWS Services): Design and deploy AWS infrastructure using Terraform. Automate resource provisioning and manage Infrastructure as Code. Monitor and optimize cloud costs, security, and compliance. Maintain and improve CI/CD pipelines for deploying data applications. 3. Business Intelligence (Tableau Development & Administration): Develop interactive dashboards and reports using Tableau. Connect Tableau with AWS data sources such as Redshift, Athena, and Snowflake. Optimize SQL queries and extracts for performance efficiency. Manage Tableau Server administration, including security, access controls, and performance tuning. Required Skills & Experience: 5+ years of experience in AWS Data Engineering with Glue, Redshift, and S3. Strong expertise in ETL development using AWS Glue (PySpark, Scala, or Python). Experience with Terraform for AWS infrastructure automation. Proficiency in SQL, Python, or Scala for data processing. Hands-on experience in Tableau development & administration. Strong understanding of cloud security, IAM roles, and permissions. Experience with CI/CD pipelines (Git, Jenkins, AWS Code Pipeline, etc.). Knowledge of data modeling, warehousing, and performance optimization. Please share your resume to: +91 9361912009
