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TaskUs

BPO providing end-to-end customer experience management

Associate Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNavi Mumbai, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • At least 2 years of experience in data engineering.
  • Knowledge of Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration.
  • Strong knowledge of data warehousing concepts, including traditional and massively parallel processing database designs and star and snowflake schemas, with at least 2 years of data modeling experience.
  • At least 2 years of hands-on development experience using ETL tools such as Pentaho, SQL Server Integration Services, Informatica, Talend, Fivetran, or Airflow.
  • Knowledge of the architecture, design, and implementation of massively parallel processing databases such as Teradata, Snowflake, or Redshift.
  • Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.
  • Knowledge of database tuning and ETL tuning.
  • Ability to work effectively across internal functional areas in ambiguous situations.
  • Bachelor's/College Degree in Computer Science, Information Technology, or Engineering (Computer/Telecommunication), or 4–8 years of experience in place of a degree.

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 based on pre-approved and reusable framework patterns; execute production-level jobs while considering data dependencies, schedules, validation routines, and data stream updates.
  • Design, develop, verify, and continuously optimize data models according to business requirements.
  • Collaborate with technical users to define data requirements and establish business rules.
  • Collaborate with key business stakeholders to deliver and continually enhance the business intelligence platform through delivery of new datasets.
  • Perform unit and system integration testing on development projects.
  • Undertake peer reviews, assist with testing, and ensure documentation is current.
  • Monitor error-handling and logging tools and processes, and 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.

Desired Qualifications

  • Three years of development using cloud-based analytics solutions, preferably AWS or Google Cloud Platform.
  • Experience using Python in a cloud-based environment.
  • Knowledge of NoSQL databases.
  • Knowledge, experience, or exposure to AI tools.

About the Company

TaskUs

BPO providing end-to-end customer experience management

TaskUs provides end-to-end customer experience management (CXM) through business process outsourcing (BPO) services. It handles a range of client operations, primarily customer service tasks, for customers in software, telecommunications, and other industries. TaskUs runs these processes for clients, employing staff who deliver service through scalable, flexible operations. Revenue comes from charging clients for services, on a per-project basis or via long-term contracts, and the company also offers advisory services supported by a resilient operating framework to help clients improve their CX programs. What sets TaskUs apart is its emphasis on employee culture and a responsive, flexible partnership aligned with client needs, enabling high-quality service and adaptability in a competitive market. The company’s goal is to help clients enhance their customer experience at scale by providing reliable CXM execution paired with strategic guidance.

Company size
10,001+
Company stage
IPO
Headquarters
New Braunfels, TX
Founded
2008

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