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Data Engineer (AI/BI) | Databricks-Centric - RibbitZ

Taraki
Location
Remote
Workplace
Remote
Employment
Full Time
Salary
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Posted 16d ago

Data Engineer (AI/BI) | Databricks-Centric - RibbitZ - Taraki | Career Page

Data Engineer (AI/BI) | Databricks-Centric - RibbitZ

Mumbai, Maharashtra, India

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Job Openings Data Engineer (AI/BI) | Databricks-Centric - RibbitZ

About the job Data Engineer (AI/BI) | Databricks-Centric - RibbitZ

Our client RibbitZ is looking for Data Engineer (AI/BI) | Databricks-Centric to work remotely.

Job Description

Availability

Must be available until 4:30 PM ET (USA)

We are looking for an experienced Data Engineer with strong AI Platform Engineering expertise to build and scale modern data and AI solutions in a Databricks-centric environment.

Key Responsibilities

  • Build and scale Databricks AI/BI solutions (dashboards, Genie experiences, data pipelines)
  • Develop ETL/ELT pipelines using Apache Spark and Delta Lake (Medallion Architecture)
  • Integrate data from enterprise systems like PeopleSoft, Salesforce, and D2L
  • Ensure data quality, governance, and security (Unity Catalog, encryption, access control)
  • Enable AI/ML teams with high-quality datasets and feature stores
  • Design and architect cloud data lakes and data marts (ADLS, S3)
  • Document and enable teams on Databricks, governance, and architecture best practices
  • Support AIOps/MLOps workflows using MLflow (experiment tracking, model registry, deployment)

Required Skills & Experience

  • Strong hands-on experience with Databricks (Delta Lake, Apache Spark)
  • Experience building ELT pipelines and Medallion Architecture
  • Proficiency in SQL, Python, or Scala
  • Experience integrating enterprise platforms and systems
  • Strong knowledge of data governance and metadata management
  • Must have experience in AI Platform Engineering

Preferred Qualifications

  • Experience with Databricks Unity Catalog
  • Experience in AI/ML model deployment (MLflow)
  • Exposure to AIOps lifecycle workflows
  • Cloud experience with Azure or AWS
  • Knowledge of data warehouse design

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Skills

  • Databricks
  • Delta Lake
  • Apache Spark
  • SQL
  • Python
  • Scala
  • PeopleSoft
  • Salesforce
  • D2L
  • Unity Catalog
  • ADLS
  • S3
  • MLflow
  • Azure
  • AWS

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