Associate Data Engineer

About the role

TaskUs, a provider of outsourced digital services and customer experience to technology companies, is hiring an Associate Data Engineer. The role designs, develops and maintains data pipelines and data warehouses used by the analytics infrastructure, so that accurate and meaningful data is available for business intelligence reporting, business analysis and reporting needs.

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 and dimension creation.
• Configure and deploy automation of jobs using pre-approved, reusable patterns, and run production-level jobs with attention to dependencies, schedules and validation.
• Design, develop and verify the data model according to business requirements and optimise it continuously.
• Collaborate with technical users and business stakeholders to define data requirements, business rules and to deliver and improve the BI platform with new datasets.
• Perform unit and system integration testing, peer reviews and documentation checks.
• Monitor error handling, logging and performance, troubleshoot configuration and data errors, and identify opportunities to optimise the ETL environment.

Required profile

• At least 2 years of experience in data engineering.
• Bachelor's degree in Computer Science, Information Technology or Engineering (Computer/Telecommunication), or 4-8 years of experience in place of a degree.
• Ability to work across internal functional areas in ambiguous situations, and a structured way of thinking and effective communication.

Required skills

• Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, Pentaho Data Integration.
• Data warehousing concepts, star and snowflake schemas, and at least 2 years of data modelling.
• Hands-on ETL tool experience (Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow).
• MPP databases such as Teradata, Snowflake or Redshift; cloud analytics on AWS or GCP; streaming pipelines with Kafka, Spark or Segment.
• Database and ETL tuning; NoSQL databases, AI tools and Python in the cloud are preferred but not required.

The position is remote, working from home, with a schedule of 8:00 PM to 5:00 AM PHT (subject to business needs). TaskUs states it will not ask for any payment during the application process.