Job Location: Hyderabad, Telangana, India
Do you have a passion for data, analytics, insights, and technology? Do you want to be part of a team that is building Microsoft’s Intelligent Supply Chain, enabling end-to-end visibility, insights, and optimization? We’re looking for a talented Data Engineer who wants to get their hands on large and complex datasets and databases, with deep knowledge of SQL database design, distributed systems, and computer science, who’s interested in working alongside data scientists to build and deploy cutting-edge analytical capabilities and drive business impact.
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. The Devices Supply Chain organization is critical to delivering on this mission, with responsibility for the end-to-end supply chain for Microsoft’s vast array of hardware products including the entire line of Surface devices and accessories, Xbox consoles and accessories, PC Hardware, next-generation products like Holo-lens, and more.
Responsibilities
- Develop and maintain data pipelines including solutions for data collection, management, and usage.
- Manage CICD pipeline and automations for data science projects
- Work closely with Data Scientists to optimize and reengineer model code to be modular, efficient and scalable, and to deploy models to production.
- Maintain and enhance our data and computation platform.
- Develop and implement solutions for data quality validation and continuous improvement.
- Manage, execute and monitor weekly and monthly production operations; resolve and escalate production issues as appropriate.
- Partner with data scientists, PMs, engineers and business stakeholders to understand business and technical requirements, plan and execute projects, and communicate status, risks and issues.
- Perform root cause analysis of system and data issues and develop solutions as required.
Qualifications
Required:
- Experience in SQL, data warehousing and database architecture
- Experience working with cloud-based technologies, including relational databases, data warehouse, big data (e.g., Hadoop, Spark), orchestration/data pipeline tools, data lakes
- Experience with R, Python, libraries for data exploration, modeling and visualization or equivalents
- Experience with ETL data pipelining concept
Preferred
- Bachelor’s degree in Computer Science or Information Systems
- Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse, Azure logic apps
- Experience with Power apps and power platform is a plus
- Proficient in Power BI
- Experience working in software engineering, and can demonstrate best practices for project management, quality control, and product development, testing frameworks
- Proven track record of collaborative development in an agile team environment
- Machine Learning experience
- Experience with infrastructure automation technologies like Docker and Kubernetes
- Experience building APIs and services using REST
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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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