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Navi Mumbai, India
Live, first seen by us 41 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Associate Data Engineer
Build and configure ETL jobs that move data into the BI environment
Design, develop and optimize data models based on business requirements
Schedule and run production jobs, handling dependencies and validation
Test pipelines and perform peer reviews and documentation
Monitor pipelines, troubleshoot data errors and tune performance
Configures and sets up solutions based on pre-approved patterns to move data from operational and external environments to the business intelligence environment.
Design, develop and verify the data model according to the business requirements, and continuously optimize the model.
Executes production-level jobs by considering data dependencies, schedules, validation routines, data stream updates.
Performs unit and system integration testing, on development projects.
Troubleshoot configuration and data errors.
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.
Bachelor's/College Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or 4-8 years experience in place of a degree.
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.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 41
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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 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.
- 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.
- 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.
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Yes. We’ve followed 3 other Associate Data Engineer jobs there since September 2026. All 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Job Description
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:
Qualifications:
Education / Certifications:
Work Location / Work Schedule / Travel:
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.
DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.
We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/.
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Navi Mumbai, India
Work Location / Work Schedule / Travel: - Site Location: Any TaskUs IND Site (Remote) - Work Setup: Work from Home
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