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Remote setup, metro location, popular data engineer title, and broad skill requirements increase applicant competition.
Data engineering skills (ETL, Python, cloud) are highly transferable across industries.
Explicit minimum experience and multiple mandatory ETL, cloud, and tooling skills create strict shortlisting filters.
Design, develop, and maintain data pipelines, ETL jobs, and data warehouses to support business intelligence reporting and analysis.
Configure and deploy automated data integration jobs, ensuring data quality, validation, and error handling across production environments.
Collaborate with technical users and business stakeholders to define data requirements, optimize data models, and enhance BI platforms with accurate datasets.
Minimum 2 years of experience in Data Engineering including data modeling and ETL development.
Proficiency with Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration.
Bachelor's degree in Computer Science, IT, Engineering, or 4-8 years of relevant experience as a substitute.
Work Location: Any TaskUs India site with remote work from home setup allowed.
Experienced in cloud-based analytics solutions, preferably AWS or GCP, with knowledge of MPP databases like Teradata, Snowflake, or Redshift.
Strong background in designing and implementing streaming pipelines using Kafka, Spark, or Segment, with skills in database and ETL tuning.
Capable of navigating ambiguous environments and collaborating across internal functions with clear communication and structured thinking.