Job Summary:

- Join a high-performing team building and integrating modern data solutions on the latest technology stack.
- Deliver reusable components and scalable frameworks enabling fast ingestion and curation of analytical datasets.
- Hands-on development role with full lifecycle involvement from coding to production deployment.

Key Responsibilities:

Development & Delivery

- Hands-on coding and delivery of robust data engineering solutions.
- End-to-end development from inception to production.
- Partner with 3rd-party developers to ensure timely, high-quality code delivery.

Project Execution

- Deliver on complex, distributed data engineering projects.
- Collaborate with internal teams and ensure requirements are fully met.
- Escalate risks and issues as necessary in a timely manner.

Agile & DevOps

- Adopt agile methodologies (DABL – Discovery, Alpha, Beta, Launch).
- Operate within product-centric, DevOps-enabled teams.
- Contribute to continuous integration and delivery processes.

Ownership & Governance

- Take ownership of development tasks and steer to completion.
- Maintain risk and issue logs with defined mitigation plans and accountable owners.

Innovation & Forward Planning

- Stay current with new technologies in analytics and data engineering.
- Suggest innovations and improvements for existing platforms and services.

Architecture & Collaboration





- Engage in architectural discussions with architects and tech leads.
- Understand technical frameworks and ensure alignment with enterprise architecture.

Quality, Risk & Compliance

- Ensure project governance and compliance with security and regulatory requirements.
- Manage risks with explicit mitigation strategies and action owners.

Required Qualifications & Skills:

- Bachelor's/Master's degree in Computer Science, Engineering, or Data Science.
- 5–8 years of hands-on data engineering experience.
- Proficient in Python, SQL, Scala.
- Experience with Azure data stack: Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, Power Apps.
- Knowledge of tools like Ataccama, Talend, Collibra, Snowflake, StreamSets.
- Strong knowledge of Spark, Databricks, Delta Lake, and big data architecture.
- Experience with Agile methodologies and tools: SAFe, Jira, Confluence, Azure DevOps.
- Skilled in data visualization and dashboard development.
- Capable of scaling analytics solutions from MVP to production.
- Excellent communication skills for both technical and non-technical stakeholders.
- Strong collaboration skills across IT (security, infra, compliance) and business functions.
- Experience managing external vendors and technology partners.

📌 Azure Data Engineer (Bengaluru)
🏢 Haleon
📍 Bengaluru