Job Description
Operating under Scrum principles, our team values continuous improvement in our engineering environment, and your expertise can play a crucial role in enhancing our processes. By working collaboratively with teammates and various organizations within Microsoft, you will actively drive business value.
We prioritize providing each team member with the optimal conditions to achieve their professional goals. This role offers diverse pathways for enhancing your engineering skills and shaping your career trajectory according to your preferences. The flexibility of this position allows you to work closely with your manager to define a working arrangement that suits you, whether that involves working in the office or remotely from home.
- Other
- Embody our Culture and Values
Qualifications
Required/Minimum Qualifications
- OR equivalent experience.
- 1+ year experience with one or more Big Data or Analytics Products / Services such as Azure Data Factory, Azure data Lake, Hadoop, Spark, Hive, Azure HDInsight, Azure Databricks, Azure Cosmos DB, NoSQL Services, MongoDB
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Additional Or Preferred Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to Scala, Python, C, C++, C#, Java, JavaScript
- OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Solid SQL/NoSQL and Data Analysis skills
- Visualization with PowerBI
- Data Science, AI and ML experience is a plus.
- Proven track record of customer advocate and creative problem solver
- High capacity to learn and adapt to new technologies and engineering processes quickly
- Ability to demonstrate the growth mindset, quickly ramp up, understand complex problems, and create solutions across many products
- Problem solving, testing, and debugging skills