Associate Data Engineer
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Job Description
Associate Data Engineer role focusing on data pipeline design and maintenance for TaskUs. Responsible for ensuring accurate data availability for business intelligence reporting needs.
Responsibilities:
- Configure solutions based on pre-approved patterns to move data to the BI environment
- Management of data integration & ETL jobs, including consolidation and validation
- Design, develop and verify data models based on business requirements
- Collaborate with technical users to define data requirements & establish business rules
- Collaborate with stakeholders to enhance the BI platform
- Perform unit and system integration testing
- Monitor error handling and logging tools
- Troubleshoot configuration and data errors
Requirements:
- Bachelor’s degree in Computer Science (MBA or MS degree is a plus) or 8-10 years experience in place of a degree
- Knowledge of Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration
- At least 2 years of broad information technology experience
- Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs, star and snowflake schemas
- At least 2 years of data modeling experience
- At least 2 years of hands-on development experience using ETL Tools such as Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow
- Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift
- 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
- At least 2 years experience of using Python in a cloud-based environment is definitely a plus
- Knowledge on NoSQL DBs is not required but preferred
- Knowledge in Database Tuning and ETL tuning
- Ability to work effectively across internal functional areas in ambiguous situations.
- Structured thinker and effective communicator.
- Knowledge, experience and exposure to AI tools is preferred but not required.
Benefits:
- Competitive industry salaries
- Comprehensive benefits packages
- Internal mobility and professional growth opportunities
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