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Data Engineer (SQL, Python, dbt)

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Data Engineer

Job Type: 6 Months, Contract-to-Hire

Location: Remote

Data Engineer

Required:

  • 5+ years' experience in data engineering with strong Python/PySpark skills.
  • Expertise in SQL, data modeling, and cloud platforms (AWS or GCP preferred).
  • Develop and Maintain DBT Models, build modular, tested, and well-documented DBT models to transform raw data into analytics-ready datasets.
  • Optimize SQL Transformations write efficient SQL logic within DBT models to improve performance and maintainability across large datasets.
  • Excellent communication skills to bridge technical and business needs.

Key Responsibilities:

  • Design, build, and maintain scalable ETL pipelines for high-volume eCommerce data.
  • Implement efficient data warehousing solutions (Redshift, BigQuery, Snowflake).
  • Develop robust data models and ensure data quality through validation processes.
  • Optimize pipeline performance and troubleshoot issues in cloud environments (AWS/GCP).
  • Collaborate with analytics teams to deliver reliable datasets for business intelligence.

Why Apply?

  • Work with cutting-edge data technologies in a high-growth environment.
  • Remote-first culture with flexible work arrangements.
  • Opportunity to build solutions powering data-driven decisions for global brands.
  • Collaborative team that values innovation and professional growth.

Join us to shape the future of eCommerce analytics!

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