Scope of the job:

Sr. Data Engineer, Global Data Management.

Your Role:

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

Must have:

- Strong experience in Azure cloud data services & technologies
- Azure Databricks, Unity Catalog, Delta live tables
- 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
- Technology

Nice to have:

- Synapse, Fabric, PowerBI, Azure Functions, Azure Logic apps, Azure API services
- Microsoft Entra ID
- GCP & AWS cloud services knowledge
- Azure Networking
- Databricks online table
- Jira
- Shell scripting / Azure CLI knowledge

Key responsibilities:

- Design, develop, and deliver scalable, reliable, and high performing software solutions.
- Design, develop, and maintain scalable data pipelines and ETL processes while monitoring and optimizing 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 approach.
- Participate in technical discussions with other teams and departments.
- Communicate with Engineering Manager, Product Owner, Business Analyst and Scrum Master to align on project sprint goals, timeline and resource allocation.

Budget responsibilities:

Skill Required:

- 5 - 12 years of working experience in the field of Data Engineering and 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 architecture.
- Experience in working in diverse projects with varying technologies, products, and systems.
- Strong problem-solving skills and ability to make critical technical decisions.

Language(s):

- Ability to guide / mentor other team members.
- Stakeholder engagement/influence skills.
- Pragmatic, and team-oriented team player.
- Experience with Databricks, Data pipelines, CI/CD.
- Proficiency in Python, SQL and big data technologies in Cloud environment.
- Excellent written and verbal English.
- Ability to set clear goals and objectives for the team.

📌 Senior Data Engineer - Python/Big Data (India)
🏢 Hiring Infinity
📍 India