AWS Data Engineer designing data models and supporting data architecture for various clients at EXL. Collaborating to deliver data solutions for improved business outcomes in a hybrid work environment.
About the role
- Senior Data Engineer developing and maintaining scalable data solutions in AWS for analytical decision-making. Focusing on data governance, performance, and quality across the data lifecycle.
Responsibilities
- Develop, maintain and evolve data pipelines in an AWS environment
- Implement ETL/ELT processes using AWS Glue and EMR
- Create and maintain analytical dashboards using Amazon QuickSight
- Create, optimize and maintain SQL queries in Amazon Athena
- Perform data modeling for Data Warehouse and Data Lake
- Implement data governance practices, data quality, versioning and access control
- Work in Big Data and distributed processing environments, ensuring scalability and performance.
Requirements
- Strong knowledge of AWS services, including: S3, Athena, Glue, EMR, QuickSight
- Experience with DynamoDB
- Experience with RDS PostgreSQL
- Solid knowledge of data modeling, including: Star Schema, Snowflake, Data Warehouse, Data Lake, normalization and denormalization
- Experience with SQL, Python and Apache Spark (PySpark)
- Proven experience in Big Data and distributed processing environments
- Experience with Data Lakes and Data Lakehouses, especially with Apache Iceberg.
Benefits
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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