Databricks Engineer: GenAI Data Pipelines & Lakehouse

Artifintech

Weehawken (NJ)

On-site

USD 84,000 - 120,000

Full time

1 hour ago
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Job summary

Artifintech seeks an experienced Databricks Engineer with Genie AI to build scalable data pipelines on the Databricks platform and enable AI-powered conversational analytics.

The role focuses on constructing robust ETL/ELT processes, leveraging Delta Lake, and implementing medallion architecture while ensuring governance via Unity Catalog. Collaboration with analytics and business teams will drive scalable data solutions.

Qualifications

  • Experience with Databricks or Azure Databricks in data engineering.
  • Hands-on with PySpark, Python and SQL.
  • Familiarity with Delta Lake and Lakehouse architecture.
  • Experience implementing Bronze, Silver and Gold medallion architectures.

Responsibilities

  • Build and optimize data pipelines using Databricks, PySpark, Python and SQL.
  • Develop ETL/ELT solutions using Delta Lake and Lakehouse architecture.
  • Implement Bronze, Silver and Gold Medallion architecture.
  • Work with Unity Catalog for data governance and access management.
  • Configure and support Genie AI / Genie Agents for natural-language data querying and conversational analytics.
  • Optimize Spark jobs, Databricks SQL workloads and data pipelines.
  • Collaborate with data, analytics and business teams to deliver scalable data solutions.

Skills

Data engineering
SQL & Python
Spark / PySpark
Genie AI exposure

Tools

Databricks
Azure Databricks
PySpark
Python
SQL
Delta Lake
Unity Catalog
Lakehouse Architecture
Genie AI / Genie Agents

Job description

Artifintech seeks an experienced Databricks Engineer with Genie AI to build scalable data pipelines on the Databricks platform and enable AI-powered conversational analytics.

The role focuses on constructing robust ETL/ELT processes, leveraging Delta Lake, and implementing medallion architecture while ensuring governance via Unity Catalog. Collaboration with analytics and business teams will drive scalable data solutions.

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