Data Engineer Senior

Roles & Responsibilities:

Data Pipeline Development

• Design, build, and maintain scalable data pipelines for ingesting, processing, and transforming data
• Develop batch and real-time data processing workflows
• Ensure data pipelines are reliable, efficient, and fault-tolerant

Data Architecture & Modeling

• Design and implement data architectures(data lakes, data warehouses, lakehouses)
• Create and maintain data models, schemas, and metadata
• Optimize data storage and retrieval strategies

Data Integration

• Integrate data from multiple sources (databases, APIs, streaming platforms, third-party tools)
• Handle structured, semi-structured, and unstructured data
• Implement data validation and quality checks

MUST HAVE EXCELLENT COMMUNICAITON

MUST HAVE BANKING EXPEREINCE

MUST HAVE THE FOLLOWING SKILLS:

PYTHON, AWS, SPARK & AI EXPOSURE.

AWS: S3, Glue, Redshift, EMR, Athena

Best Wishes,

Dany|Recruiter|Sunray Informatics Inc