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:

Strong 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.
- Strong understanding and implementation of software development principles, coding standards, and modern architec

📌 Data Engineer (Hyderabad)
🏢 The HEINEKEN
📍 Hyderabad