We're looking for a hands-on Data Engineer to design and scale robust data pipelines and cloud data platforms that power analytics, BI, and AI/GenAI use cases.
You'll work across ETL/ELT, data modeling, cloud migration, and automation to deliver reliable, high-quality data at scale.
This role is ideal if you've worked with Informatica, DBT, Redshift, and have experience modernizing legacy data systems to the cloud.
Key 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 scri...