Data Engineer (AI/BI) | Databricks-Centric - RibbitZ at Taraki in Mumbai, Maharashtra, India
- Company: Taraki
- Location: Mumbai, Maharashtra, India
- Posted: Sep 18, 2026
- Type: Full-time
- Experience: 6+ years
Overview
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. We are looking for an experienced Data Engineer with strong AI Platform Engineering expertise to build and scale modern data and…
Job description
- 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.
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- 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.
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)
Requirements
- 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
- 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
Skills
Required
- Databricks
- Delta Lake
- Apache Spark
- SQL
- Python
- Scala
- AI Platform Engineering
- Data governance
- Metadata management
Preferred
- Databricks Unity Catalog
- MLflow
- AIOps
- Azure
- AWS
- Data warehouse design