Data Engineer

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:
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
Strong experience in Azure cloud data services & technologies
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 good 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 architecture.
Experience working on diverse projects with varying technologies, products, and systems.
Strong problem-solving skills and the ability to make critical technical decisions.
Ability to guide and mentor other team members.
Strong stakeholder engagement and influencing skills.
Pragmatic and collaborative team player.
Experience with Databricks, data pipelines, and CI/CD.
Proficiency in Python, SQL, and big data technologies in cloud environments.
Pragmatic and collaborative team player.

Work arrangement
No