Your Role:

You will be a part of the data engineering team and working on in-house products in for Data Foundation Collaborating closely with Data Engineering Leads and managers and other DataOps teams. This role involves hands-on development work and will directly report to Data Engineering Lead.

Must have skills:

Robust experience in Azure cloud data services & technologies

Azure Databricks, Unity Catalog, Delta live table

Data Modelling & Architecture

ETL pipeline design

Expert in Python, Pyspark and SQL

Azure Data Factory

Azure DevOps

Logging and Monitoring using Azure / Databricks services

Apache Kafka

Nice to have:

• Synapse, Fabric, PowerBI, Azure Functions, Azure Logic apps

• Azure API service

• Microsoft EntraID

• GCP & AWS cloud services knowledge

• Azure Networking

• Databricks online table

• Jira• Shell scripting / Azure CLI knowledge

Your responsibilities will include:
Experience in designing, developing, and delivering scalable, reliable, and high-performing software solutions.
Design, development,



and maintenance of scalable data pipelines and ETL processes.
Monitor and optimize data infrastructure performance.
Participate in code reviews, design reviews, testing, and deployment processes.
Ensure adherence to coding standards, best practices, and architectural guidelines.
Inspire, advise, and drive the selection of development approaches.
Participate in technical discussions with other teams/departments.
Communicate with the Engineering Manager, Product Owner, Business Analyst, and Scrum Master to align on project/sprint goals, timelines, and resource allocation.

You are a valuable match if you have:
5+ years of working experience in the field of Data Engineering or Software Engineering.
Hands-on experience and in-depth knowledge of the technologies listed as mandatory in the Technology Stack section.
Solid understanding and implementation of software development principles, coding standards, and modern architec

📌 Data Engineer Hyderabad
🏢 The HEINEKEN
📍 Hyderabad