Remote Data Engineer: Databricks, Medallion, dbt, Epicor

Recruise India Consulting

United States

Remote

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

Recruise India Consulting is seeking an experienced Data Engineer to design and maintain scalable data pipelines in a remote, EST-aligned contract role. You will work with Databricks, Medallion Architecture, dbt, Python, and Epicor integrations to support analytics and reporting.

You will build and optimize data transformations, ensure data quality, and collaborate with business stakeholders and technical teams across distributed locations.

Qualifications

  • Hands-on Databricks experience and data engineering expertise.
  • Practical experience implementing Medallion Architecture.
  • Proficiency in Python for data processing and pipelines.
  • Experience with dbt for data transformation and testing.
  • Experience Epicor ERP integration with data platforms.
  • Strong knowledge of ETL/ELT concepts, SQL, and data quality.
  • Experience building production-grade data pipelines.

Responsibilities

  • Design, build, and maintain data pipelines using Databricks and Python.
  • Implement Medallion Architecture (Bronze, Silver, Gold).
  • Develop dbt models and tests.
  • Build Epicor ERP integrations with data warehouses.
  • Develop ETL/ELT workflows ingesting, transforming and validating data.
  • Optimize pipeline performance and data quality.
  • Collaborate with stakeholders to translate data requirements.
  • Maintain documentation for pipelines and integrations.

Skills

Python
ETL/ELT concepts
SQL
Data modelling
Data quality
Production-grade pipelines

Tools

Databricks
Medallion Architecture
dbt
Epicor ERP

Job description

Recruise India Consulting is seeking an experienced Data Engineer to design and maintain scalable data pipelines in a remote, EST-aligned contract role. You will work with Databricks, Medallion Architecture, dbt, Python, and Epicor integrations to support analytics and reporting.

You will build and optimize data transformations, ensure data quality, and collaborate with business stakeholders and technical teams across distributed locations.

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