Databricks Engineer: Genie AI & Lakehouse Pipelines

Valiant Technologies LLC

Weehawken (NJ)

On-site

USD 87,000 - 117,000

Full time

4 days ago
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Job summary

Valiant Technologies LLC in New Jersey is seeking a Databricks Data Engineer to build scalable data pipelines on the Databricks platform and enable Genie AI-powered conversational analytics. You will implement Bronze-Silver-Gold medallion architecture, use Unity Catalog for governance, and leverage Delta Lake within a Lakehouse framework.

The role demands strong PySpark, Python and SQL skills, Spark optimization, and collaboration with analytics and business teams.

Qualifications

  • Strong hands-on experience with Databricks / Azure Databricks.
  • Hands-on PySpark, Python and SQL development.
  • Experience with Apache Spark and Delta Lake.
  • Familiarity with ETL/ELT and data engineering best practices.
  • Experience with Databricks SQL and Unity Catalog.
  • Knowledge of Lakehouse/Medallion architecture concepts.
  • Exposure to Genie AI / Genie Agents is a plus.

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

Databricks / Azure Databricks
PySpark
Python
SQL
Apache Spark
Delta Lake
ETL/ELT
Databricks SQL
Unity Catalog
Lakehouse Architecture
Genie AI
Genie Agents

Job description

Valiant Technologies LLC in New Jersey is seeking a Databricks Data Engineer to build scalable data pipelines on the Databricks platform and enable Genie AI-powered conversational analytics. You will implement Bronze-Silver-Gold medallion architecture, use Unity Catalog for governance, and leverage Delta Lake within a Lakehouse framework.

The role demands strong PySpark, Python and SQL skills, Spark optimization, and collaboration with analytics and business teams.

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