Role Summary
We are looking for an experienced Data Engineering to design, develop, and lead enterprise-scale data solutions. The role requires strong hands-on expertise in Informatica / IDMC, Databricks / Python, along with proven experience leading technical teams. You will work closely with business stakeholders, architects, and cloud teams to deliver scalable, secure, and high-performance data platforms.
Primary Skills (Mandatory)
- Informatica / Informatica Intelligent Data Management Cloud (IDMC)
- Databricks
- Python
- Solid experience in data ingestion, transformation, and orchestration
- Code reviews and quality assurance
- Strong SQL skills and experience working with large datasets
Secondary Skills (Good to Have)
- Data visualization and analytics using Tableau and/or Oracle Analytics Server (OAS)
- Hands-on experience with AWS Cloud, including:
- S3, EC2, Lambda, IAM, Glue (or equivalent services)
- Exposure to cloud-native data architectures and data lakes
Key Responsibilities
- Lead the design and development of end-to-end data engineering solutions
- Build and optimize ETL/ELT pipelines using Informatica/IDMC and Databricks
- Develop scalable data processing workflows using Python
- Ensure data quality, performance tuning, and best engineering practices
- Mentor team members and act as a technical escalation point
- Collaborate with architects, analysts, and business stakeholders
- Support cloud deployment, monitoring, and cost optimization on AWS
- Ensure adherence to security, governance, and compliance standards
