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Open 47d

Data Engineer

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Summary

Design and build data infrastructure—ETL pipelines, data warehouses, and streaming systems—using Python, SQL, and tools like Airflow, Spark, and Snowflake.

Job Overview

Data engineers design and build data infrastructure — from ETL pipelines to data warehouses to real-time streaming. They turn raw data into queryable, reliable systems.

Responsibilities

  • Design data warehouse architectures
  • Build and maintain ETL pipelines
  • Integrate BI and analytics tools

Industry Focus

  • Data-driven startups
  • Analytics platforms
  • Fintech & healthtech
  • Enterprise reporting

Qualifications

  • Python / SQL
  • Apache Airflow / dbt
  • BigQuery / Snowflake / Redshift
  • Spark / Kafka
  • Data Modeling
  • BI Tool Integration

Skills

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See also

Data Engineering jobs by country — openings, pay and top skills →

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