Associate Data Engineer

What can you expect in an Associate Data Engineer role with TaskUs: 

So what does an Associate Data Engineer do? Think of yourself as someone responsible for designing, developing, and maintaining data pipelines, and data warehouses for use by the analytics infrastructure, so not just anyone is qualified for this role! We make sure we get the best of the best, after all, we are a ridiculously good company so we make sure our employees are top-notch. So come on, now we need your full concentration because it’s time to imagine what it’s like being an Associate Data Engineer.

Imagine yourself going to work with one thing on your mind: you will assist in making accurate and meaningful data available for consumption of TaskUs Business Intelligence reporting methodology. As you tackle your new tasks for the day, you know that it will lead to one thing:  that everything you do is to meet an enterprise’s data delivery, business analysis, and reporting needs.

Key Responsibilities:

As an Associate Data Engineer, you will:

• Configure

  • Configures and sets up solutions based on pre-approved patterns to move data from operational and external environments to the business intelligence environment.

  • Management of data integration & ETL jobs – consolidation, aggregation, filtering, validation, data quality routines, dimension creation, etc.

  • Configure and Deploy automation of jobs based on pre-approved and reusable patterns framework. Executes production-level jobs by considering data dependencies, schedules, validation routines, data stream updates.

  • Design, develop and verify the data model according to the business requirements, and continuously optimize the model.

  • Collaborate with technical users to define data requirements & establish business rules to be applied

  • Collaborate with key business stakeholders to deliver and continually enhance the BI platform to provide relevant and accurate insights through the delivery of new datasets

• Test

  • Validate and verify the data model according to the business requirements, and continuously optimize the model.

  • Performs unit and system integration testing, on development projects.

  • Undertaking peer reviews, assisting with testing, and ensuring documentation is current.

• Monitor

  • Monitor Error Handling and Logging tools and processes. Troubleshoot configuration and data errors.

  • Monitor Performance and raise appropriate flags.

  • Identify opportunities to optimize the ETL environment, and implement monitoring, quality, and validation processes to ensure data accuracy and integrity.

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, star and snowflake schemas with at least 2 years of data modeling.

• 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.

• Knowledgeable in Database Tuning and ETL tuning.

• Experience of using Python in a cloud-based environment is preferred.

• Knowledge on NoSQL DBs is preferred. 

• Knowledge, experience and exposure to AI tools is preferred but not required.

• Someone who has the ability to work effectively across internal functional areas in ambiguous situations.

• Someone who is a structured thinker and effective communicator.

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