About the role
We are seeking a highly skilled Data Engineer with strong expertise in ETL, Data Warehousing, and AWS Cloud technologies The ideal candidate will design, develop, and optimize data pipelines, ensuring scalable and efficient data solutions across the organization.
Responsibilities:
- Design and implement ETL workflows using Informatica PowerCenter and other modern tools.
- Build and maintain data warehouses leveraging AWS Redshift and Glue.
- Develop scalable data pipelines using Python and PySpark.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
- Ensure data integrity, performance optimization, and security compliance in all cloud-based solutions.
- Provide clear documentation and communicate technical concepts effectively to both technical and non-technical stakeholders.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in data engineering, ETL, and cloud-based solutions.
- Proven track record of delivering scalable and efficient data pipelines.
Required Skills (Non-Negotiable):
- SQL, Data Warehousing and ETL expertise.
- Informatica PowerCenter hands-on experience.
- AWS Cloud proficiency.
- Strong knowledge of Redshift and Glue.
- Programming skills in Python and PySpark.
- Excellent communication and soft skills.
Preferred Skills (Good to Have):
- Experience with other AWS services: Lambda, S3 Athena, DynamoDB.
- Familiarity with dbt for data transformations.
- Exposure to Tableau or other BI tools for visualization.