Senior Data Engineer

Senior Data Engineer

Microsoft
7-10 years
Not Specified

Job Description


Microsoft Azure is experiencing explosive growth and innovation connecting people, services, and devices around the world. From cloud game streaming to data services, the hardware we design is fundamentally changing the data center and contributing to the success of millions of customers. The Azure Cloud Hardware & Infrastructure Engineering ﴾CHIE﴿ team is looking for a Senior Data Engineer to support the executive office in providing high-quality data solutions to the entire organization.
The Senior Data Engineer will be a member of the executive office of the VP, reporting through the Chief of Staff, and requires someone who has technical depth across a large spectrum of data disciplines, a bias for action, and a customer-first mindset. Your ability to partner successfully with a broad group of diverse stakeholders, from senior leaders to support staff, and translate business problems into technical solutions will be critical. As a Senior Data Engineer, you will help architect and engineer data solutions, build high-quality reports, profile data, work with data owners, and apply appropriate tools to efficiently collect, clean, and prepare large volumes of data for analysis.
  • Identify and apply the appropriate tools to efficiently collect, clean, and prepare large volumes of data for analysis.
  • Author cloud-native data ETL pipelines on Azure in SQL, Python, Java, C++, or C#.
  • Develop and launch efficient and reliable data pipelines to move data across heterogeneous platforms into a data warehouse.
  • Improve data quality by using & improving tools to detect issues automatically.
  • Validate your approach and monitor, analyze, and iterate to continuously improve.
  • Stay consistently engaged with stakeholders throughout the engineering lifecycle and delivers reliable data to the organization.

required qualifications
  • bachelor's degree in computer science, data science, or equivalent industry experience.
  • very strong programming skills in at least one high-level language: python 3.x, java, c++, c#.
  • excellent problem-solving skills and software engineering habits, including code peer review, automated unit testing, etc.
  • experience working in a modern devops culture, administering your service in azure, implementing infrastructure as code, automating manual operations processes, and supporting/ troubleshooting production incidents.
  • 7+ years of experience with microsoft sql server and azure sql databases or similar database platforms. fluent and fast with t-sql, query analysis, and optimization. deep skills in modeling transactional databases and data warehouses.
  • 7+ years of experience working with data, including the continuous management of etl/data pipelines, processing, storage, and governance.

preferred qualifications
  • master's/phd in computer science, data science, or equivalent field.
  • solid familiarity with azure's analytics stack: data lake, data explorer/kusto, storage, data factory, synapse, databricks, hdinsight (with spark, hive, hadoop, etc.), azure functions, and devops.

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About Microsoft

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. 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.

Job Source : careers.microsoft.com

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