Role Overview
We are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will work closely with technical stakeholders to ensure efficient data processing, transformation, and availability across systems.
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines
- Build and optimize data warehousing solutions
- Collaborate with cross-functional teams to understand data requirements
- Ensure data quality, integrity, and performance across systems
- Work with cloud-based platforms to manage and process large datasets
- Support data integration and transformation initiatives
Required Skills (Must Have)
- Strong experience in SQL, Data Warehousing, and ETL concepts
- Hands-on experience with Informatica PowerCenter
- Proficiency in AWS Cloud services
- Deep understanding of Amazon Redshift and AWS Glue
- Programming expertise in Python and PySpark
- Excellent communication and stakeholder management skills
Preferred Skills (Good to Have)
- Experience with additional AWS services such as Lambda, S3, Athena, and DynamoDB
- Familiarity with dbt (data build tool) for data transformations
- Exposure to Tableau or other BI/visualization tools
