Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data solutions on the Azure platform. The ideal candidate will play a key role in developing robust data pipelines, ensuring data quality, and contributing to enterprise-wide analytics initiatives.

Key Responsibilities
Design and develop scalable data pipelines using Spark SQL and PySpark on Azure Databricks
Build and orchestrate ETL workflows using Azure Data Factory (ADF)
Develop and maintain a contemporary Lakehouse architecture leveraging ADLS and Databricks
Perform data preparation tasks including data cleaning, normalization, deduplication, and data type transformations
Collaborate with DevOps teams to deploy and manage solutions in production environments
Monitor data pipelines, identify issues, and implement corrective actions, including root cause analysis and resolution




Actively contribute as part of the global Analytics team, delivering data-driven insights and solutions
Collaborate with Data Science and Business Intelligence teams to share best practices and drive innovation
Lead data engineering projects and support cross-functional initiatives led by other team members
Apply change management practices, including documentation, communication, and training, to support system upgrades and data migrations

Job Type

Full time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Consultant Data Engineer Databricks Bengaluru
🏢 Affine Analytics
📍 Bengaluru