Description
TaskUs is seeking an Associate Data Engineer to design, develop, and maintain data pipelines and data warehouses for use by the analytics infrastructure. The successful candidate will assist in making accurate and meaningful data available for consumption of TaskUs Business Intelligence reporting methodology.
Key Responsibilities:
- Configure and set up solutions based on pre-approved patterns to move data from operational and external environments to the business intelligence environment.
- Manage data integration and ETL jobs, including consolidation, aggregation, filtering, validation, data quality routines, dimension creation, etc.
- Configure and deploy automation of jobs based on pre-approved and reusable patterns framework.
- Design, develop, and verify the data model according to business requirements, and continuously optimize the model.
- Collaborate with technical users to define data requirements and establish business rules to be applied.
- Collaborate with key business stakeholders to deliver and continually enhance the BI platform.
Qualifications:
- At least 2 years of experience in Data Engineering.
- Knowledgeable with Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration.
- Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs.
- At least 2 years of hands-on development experience using ETL Tools.
- Knowledge on the architecture, design, and implementation of MPP Databases.
- 3-year development using Cloud-based analytics solutions preferable AWS or GCP.
- Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.
Education / Certifications:
- Bachelor's/College Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or 4-8 years experience in place of a degree.
Work Location / Work Schedule / Travel:
- Site Location: Any TaskUs IND Site (Remote)
- Work Setup: Work from Home