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: 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 good match if you have:
• 5–12+ 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. Language proficiency required:
• Excellent written and verbal English.