GOBI Technologies is seeking a passionate and experienced Senior Data Engineer to join our growing team!
In this role, you will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure utilizing the Microsoft data stack.
Who You Are You have at least 5 years of experience as a Data Engineer or in a similar role, with a robust portfolio of successful data projects.
You possess expert-level knowledge of Microsoft Azure and have hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Azure Cosmos DB.
Your skills include advanced data pipeline development, data warehousing, big data processing using Apache Spark, and programming in Python and Scala.
You are proficient in data modeling, and a working knowledge of Power BI for data visualization is a strong advantage.
Your excellent communication skills make you a natural collaborator and leader within cross-functional teams.
You thrive in roles where you can work independently yet are equally comfortable contributing to team success.
What You'll Do Architect and maintain scalable data pipelines and infrastructure within the Microsoft data ecosystem.
Design and implement robust data models and storage solutions in Azure Synapse and other platforms to ensure optimal performance and scalability.
Lead the development and maintenance of orchestration workflows using Azure Data Factory and other tools to automate data processes.
Collaborate with data analysts, scientists, and business stakeholders to gather requirements, deliver insights, and refine data strategies.
Develop and enforce best practices in data management, quality assurance, and documentation to ensure excellence and consistency across data operations.
Stay ahead of the curve with the latest innovations in Microsoft data technologies and lead educational initiatives to disseminate this knowledge across the company.
Key Responsibilities: Independently scope and execute projects, collaborating closely with the product team to understand platform capabilities and optimize customer data integration.
Design and optimize data pipelines and models for high performance and resilience, identifying technical and operational requirements.
Promote excellence in process, methodology, standards, and technology selection, both internally and with customer teams.
Lead requirements discovery and delivery workshops to guide customers through their data journey.
Serve as a customer advocate, assisting company leadership in managing client expectations.
Commit to continuous learning to maintain and share cutting-edge knowledge in the data space.
Actively contribute to the technical growth and maturity of the organization.