Senior Software Engineer - C# + Data at Microsoft
Hyderabad, Telangana, India -
Full Time


Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C#, Data Engineering, Data Quality Validation, Azure Analytics, Power BI, Machine Learning, Docker, Kubernetes, APIs, REST, SQL, Data Warehousing, Database Architecture, Cloud Technologies, Hadoop, Spark

Industry

Software Development

Description
Develop and maintain data pipelines including solutions for data collection, management, and usage. 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 globally 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. Proven design and problem-solving skills, with an emphasis on quality and data engineering excellence. Proven communication skills, both verbal and written. The ability to work well in a diverse, global, team-focused environment. Mentoring junior engineers in the team. 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. delivering innovative software experiences that drive customer satisfaction. Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse, Azure logic apps. Proficient in Power BI and Machine Learning experience. Proven track record of collaborative development in an agile team environment. Experience with infrastructure automation technologies like Docker and Kubernetes. Experience building APIs and services using REST is preferred. 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. Overall understanding of Azure/Cloud infrastructure is desirable. 8+ years of professional software development experience.
Responsibilities
Develop and maintain data pipelines, including solutions for data collection, management, and usage. Partner with data scientists and business stakeholders to understand requirements and communicate project status.
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