Job Description:

Build and maintain scalable data integration and transformation pipelines using AWS Glue and Spark.

Develop and enhance ETL pipelines to create business-ready datasets.

Design, develop, and maintain dbt models on AWS Redshift.

Optimize data models, SQL queries, and pipeline performance.

Develop modular and scalable data models with testing, documentation, and data quality checks.

Monitor data pipelines, troubleshoot failures, and resolve performance bottlenecks.

Build and maintain CI/CD pipelines using GitHub Actions for automated testing, deployments, and setting promotions.

Manage version control, branching strategies, pull requests, and release processes.

Develop and maintain ETL workflows using Informatica PowerCenter and Informatica Cloud.

Design and manage data models, data warehouses, and enterprise data integration solutions.

Perform data quality validation, freshness checks, and schema evolution management.

Ensure compliance with data governance, security standards, and data management best practices.

Support consumer applications in accessing and utilizing platform data efficiently.

📌 Data Analysis Maharashtra
🏢 Acme Services
📍 Maharashtra