Senior Data Engineer – ETL, Cloud & GenAI

Responsibilities:Data Pipeline Development: Design, build, and optimize ELT/ETL pipelines using Informatica IDMC/PowerCenter, DBT, and Kafka for structured and semi-structured data.Cloud Migration & Modernization: Migrate on-prem data warehouses and ETL workloads to AWS services like Redshift, S3, Glue, and PostgreSQL.Data Modeling & Quality: Create scalable data models, implement DBT tests, and enforce data quality, lineage, and governance standards.Automation & DevOps: Automate infrastructure and deployments using Terraform, Git, CI/CD, and scripting in Python/Shell.Performance Tuning: Optimize SQL, PL/SQL, and data workflows for performance, cost, and reliability.Collaboration: Partner with business, analytics, and engineering teams to translate requirements into technical solutions and analytics-ready datasets.Requirements:5+ years of experience in Informatica PowerCenter/IDMC, DBT, and strong SQL/PL/SQL skills.Hands-on experience in Oracle 10g–13c, PostgreSQL, Amazon Redshift, and MySQL.Practical experience in AWS – S3, Redshift, Glue, and cloud migration projects.Experience in Python, Shell scripting, and automation of data workflows.Strong experience in data modeling, performance tuning, and data quality frameworks.Experience in Git, BitBucket, Terraform, and CI/CD for data pipelines.