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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote work, mid-level generalist data engineer title, and metro location drive high applicant competition.
Core data engineering skills (Python, ETL, Redshift, Kafka) are highly transferable across industries.
Explicit 2+ years plus multiple mandatory ETL, cloud, and data warehousing skills increases strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain data pipelines and data warehouses to support business intelligence reporting.
Manage ETL jobs including consolidation, aggregation, filtering, validation, and automation based on pre-approved frameworks.
Collaborate with technical users and business stakeholders to define data requirements, establish business rules, and optimize the BI platform and data models.
Minimum Requirements
At least 2 years of experience in Data Engineering with hands-on experience in ETL tools (Pentaho, SSIS, Informatica, Talend, Fivetran, or Airflow).
Proficiency with Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration.
Strong knowledge of Data Warehousing concepts including star and snowflake schemas, and experience with MPP databases (Teradata, Snowflake, Redshift).
Bachelor's degree in Computer Science/IT/Engineering or 4-8 years equivalent experience. Remote work from any TaskUs India site possible.
Ideal Candidate Profile
Experienced with cloud-based analytics solutions, preferably AWS (3 years preferred) and streaming pipelines using Apache Kafka, Apache Spark, or Segment.
Skilled in database and ETL tuning with practical experience in Python in cloud environments.
Able to work effectively across functional areas and communicate clearly in ambiguous situations, with structured thinking.