Microsoft Software Engineer II 

India, Karnataka, Bengaluru 

773462446

Required 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, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with at least one of the following scripting languages: PowerShell, Python, Perl, JavaScript or Ruby (for data manipulation and automation tasks).

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.

Preferred Qualifications:

• Experience working and building distributed cloud services using Azure or related technology stacks.
• Experience with Azure Data Factory, Cosmos, Kusto, Spark, Kafka and other big-data related technology stacks.
• Experience of software testing/release processes and methodologies.
• Prior knowledge of ETL/ELT, Data Modeling, and BI systems.
• Strong background in math and statistics.
• Proven design and analytical skills, with a strong bias for engineering excellence at scale. Functional knowledge of cloud computing and online services business models, including business, technical, and operational metrics.
• Strong background in data warehouse principles, architecture, design and its implementation at large scale.
• Excellent customer service, verbal and interpersonal skills.
• Ability to operate effectively and independently in a dynamic, fluid environment.
• Ability to learn and grasp concepts quickly in a fast-paced environment.

• Be responsible for the technical leadership and end-to-end development of the data solutions that will help E+D and SCI gain the strategic insights we need to deliver the most optimal user experience and to quickly adapt to market conditions that are constantly evolving.
• Apply your engineering and analytical skills to petabyte scale data problems using the latest and most modern data analytics technologies on an ever-increasing number of data signals produced by the different products part of the M365 suite and our partners across the company.
• Face tough engineering challenges every day as we deal with very large, disparate and usually complex data sets as we aim to provide an efficient and reliable platform for data wrangling and curation.
• Integrate different data democratization and visualization techniques that will also enable us to extract even the most deeply embedded insights from this data to then make those insights readily available to everyone in our organization, affording them the flexibility of analyzing said data in a self-service manner.