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Senior Software Engineer
3 months ago
Join our Data Engineering team as a Senior Software Engineer - Data Engineering to build the next-gen communication platform with Azure Communication Services.
Azure Communication Services (ACS) is a rapidly growing product that provides reliable and high-quality SMS, Chat, PSTN, Audio/Video calling, meeting, and other communication services.
We look for diverse perspectives to help make our product great. Our team is spread across US, Canada, Mexico and Costa Rica.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
QualificationsRequired Qualifications: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, C#, Python
- OR equivalent experience.
- 1+ years experience with SQL databases.
- 6+months experience working with Apache Spark, Databricks, Azure Synapse OR Large Data Lakes.
- 1+ years experience with Azure cloud services or similar.
Preferred Qualifications:
- Experience with cloud and services or Azure.
- Experience communicating to senior leadership teams explaining insights in an understandable way to non-experts, in both formal presentations and informal group conversations.
- Experience collaborating with partner teams to meet the engineering goals in a unified manner.
- Experience mentoring and coaching peers and early-in-career engineers.
Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $108,100 - CAD $199,700 per year. Find additional pay information here:
Microsoft will accept applications for the role until August 6, 2024.
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Responsibilities- Big Data Infrastructure and Stack: Collaborate with engineering groups to ingest, process and model large amounts of communication and interaction data.
- Data Resiliency and Reliability: Design solutions ensuring correctness of data for millions of records every day. Participate in on-call rotation and work occasional off-hours.
- Data Scalability: Extract raw data from complex sources using industry leading tools like PySpark, Azure Synapse etc.
- AI for Customer Interactions: Leverage Microsoft's Copilot Ecosystem to transform data into valuable insights for our customers.
- Embody our Culture and Values