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: • 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 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 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 you adheres to coding standards, best practices, and architectural guidelines. • Inspire, advise, and drive the selection of development approach. • Participate in technical discussions with other teams/departments • Communication with Engineering Manager, Product Owner, Business Analyst and Scrum Master to align on project. / sprint goals, timeline and resource allocation. You are a good match if you have: • 5 -12 years of working experience in in field of Data Engineering, 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 • Ability to guide / mentor other team members • Stakeholder engagement/influence skills • Pragmatic, and collaborative team player • Experience with Databricks, Data pipelines, CI/CD • Proficiency in Python, SQL and big data technologies in Cloud environment • Pragmatic, and collaborative team player. Language proficiency Required: • Excellent written and verbal English