Associate Data Engineer

taskus; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

TaskUs is seeking an Associate Data Engineer to design, develop, and maintain data pipelines and data warehouses for analytics infrastructure. You will ensure data is accurate, timely, and accessible for BI reporting, while collaborating with business stakeholders to improve the BI platform.

Ideal candidates have 2+ years in data engineering, strong SQL/ETL tooling experience, and familiarity with AWS or GCP cloud ecosystems.

Qualifications

• 2+ years of experience in data engineering.
• Experience with Python, Kafka, Redshift, Glue, S3, and Pentaho Data Integration.
• Strong knowledge of data warehousing concepts and data modeling.
• 2+ years hands-on development using ETL tools (Pentaho, SSIS, Informatica, Talend, Fivetran, Airflow).
• Experience with architecture/design/implementation of MPP databases (Teradata, Snowflake, Redshift).
• 3+ years development using cloud-based analytics solutions (AWS or GCP).
• Knowledge of designing streaming pipelines with Kafka, Spark, or Segment.

Responsibilities

• Configure and move data from operations and external sources to the BI environment.
• Manage data integration and ETL jobs including quality checks and transformations.
• Automate jobs using reusable patterns and monitor production pipelines.
• Design and optimize data models to meet business requirements.
• Collaborate with technical users to define data requirements and business rules.
• Deliver and enhance BI datasets to provide accurate insights.

Skills

Data Engineering

Data warehousing concepts

Data modeling

Tools

Python

Apache Kafka

AWS Redshift

AWS Glue

AWS S3

Pentaho Data Integration

SSIS

Informatica

Talend

Fivetran

Airflow

Teradata

Snowflake

Redshift

Apache Spark

Segment

AWS

GCP

Job description

About TaskUs: TaskUs is a provider of outsourced digital services and next‑generation customer experience to fast‑growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud‑based infrastructure, TaskUs serves clients in the fastest‑growing sectors, including social media, e‑commerce, gaming, streaming media, food delivery, ride‑sharing, HiTech, FinTech, and HealthTech.

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 60,000 employees globally. Presently, we have a presence in twenty‑three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever‑changing world.

What We Offer

At TaskUs, we prioritize our employees' well‑being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

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

• 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 i