Job Description

Your Role:

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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.

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Must have skills:

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- Azure Databricks, Unity Catalog, Delta live tables
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- Data Modelling & Architecture
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- ETL pipeline design
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- Expert in Python, Pyspark and SQL
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- Azure Data Factory
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- Azure DevOps
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- Logging and Monitoring using Azure / Databricks services
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- Apache Kafka
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- Strong experience in Azure cloud data services & technologies
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Nice to have:

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- Synapse, Fabric, PowerBI, Azure Functions, Azure Logic apps
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- Azure API service
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- Microsoft EntraID
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- GCP & AWS cloud services knowledge
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- Azure Networking
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- Databricks online table
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- Jira
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- Shell scripting / Azure CLI knowledge
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Your responsibilities will include:

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- Experience in designing, developing, and delivering scalable, reliable, and high-performing software solutions.
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- Design, development, and maintenance of scalable data pipelines and ETL processes.
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- Monitor and optimize data infrastructure performance.
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- Participate in code reviews, design reviews, testing, and deployment processes.
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- Ensure adherence to coding standards,



best practices, and architectural guidelines.
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- Inspire, advise, and drive the selection of development approaches.
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- Participate in technical discussions with other teams/departments.
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- Communicate with the Engineering Manager, Product Owner, Business Analyst, and Scrum Master to align on project/sprint goals, timelines, and resource allocation.
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You are a good match if you have:

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- 5+ years of working experience in the field of Data Engineering or Software Engineering.
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- Hands-on experience and in-depth knowledge of the technologies listed as mandatory in the Technology Stack section.
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- Strong understanding and implementation of software development principles, coding standards, and up-to-date architecture.
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- Experience working on diverse projects with varying technologies, products, and systems.
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- Strong problem-solving skills and the ability to make critical technical decisions.
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- Ability to guide and mentor other team members.
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- Strong stakeholder engagement and influencing skills.
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- Pragmatic and collaborative team player.
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- Experience with Databricks, data pipelines, and CI/CD.
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- Proficiency in Python, SQL, and big data technologies in cloud environments.
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- Pragmatic and collaborative team player.
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📌 Data Engineer (Hyderabad)
🏢 The HEINEKEN
📍 Hyderabad