Subject: Data engineer

Location: Remote/ Pan India/UAE/ Philippines/Singapore/Sri Lanka/Bangladesh/Pakistan

Remote – offshore* (this means we expect the resource is remote and located outside of the US but should be available until 2:30 P.M. ET 40 hours per week.

Job Description
We are seeking a Databricks Engineer to design, build, and operate a modern Data & AI platform based on Medallion Architecture (Bronze/Silver/Gold). The role involves building robust and scalable ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake to transform raw data into curated and analytics-ready layers. You will operationalize Databricks Workflows for orchestration and automate ingestion from enterprise systems like PeopleSoft, D2L, and Salesforce via APIs/JDBC. Key responsibilities include implementing data quality checks, monitoring with Grafana, and enforcing governance and security using Unity Catalog with row-level security and encryption. You will also enable AI/ML teams by delivering feature-rich datasets and supporting MLOps lifecycle with MLflow and reusable feature stores.



The ideal candidate must have strong hands-on experience in Databricks, SQL, Python/Scala, and cloud data lakes on ADLS/S3. This is a critical role ensuring high-quality, governed data for ML, AI/BI, and analytics at scale.

Overview:
We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a solid foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making

📌 Data engineer (New Delhi)
🏢 RibbitZ
📍 New Delhi