Senior Software Engineer
Microsoft
Senior Software Engineer
Bangalore, Karnataka, India
Save
Overview
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the data integration team builds data gravity on the Microsoft Cloud. Massive volumes of data are generated – not just from transactional systems of record, but also from the world around us. Our data integration products – Azure Data Factory and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
We’re the team that developed the Mashup Engine (M) and Power Query. We already ship monthly to millions of users across Excel, Power/Pro BI, Flow, and PowerApps; but in many ways we’re just getting started. We’re building new services, experiences, and engine capabilities that will broaden the reach of our technologies to several new areas – data “intelligence”, large-scale data analytics, and automated data integration workflows. We plan to use example-based interaction, machine learning, and innovative visualization to make data access and transformation even more intuitive for non-technical users.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Qualifications
Required/Minimum Qualifications
• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
○ OR equivalent experience.
Experience in data integration or migrations or ELT or ETL tooling is mandatory
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.
Preferred/Additional Qualifications
• BS degree in Computer Science
• Engine role: familiarity with data access technologies (e.g. ODBC, JDBC, OLEDB, ADO.Net, OData), query languages (e.g. T-SQL, Spark SQL, Hive, MDX, DAX), query generation/optimization, OLAP
• UI role: familiarity with JavaScript, TypeScript, CSS, React, Redux, webpack
• Service role: familiarity with micro-service architectures, Docker, Service Fabric, Azure blobs/tables/databases, high throughput services
• Full-stack role: a mix of the qualifications for the UX/service/backend roles
Equal Opportunity Employer (EOP)
#azdat
#azuredata
#azdat #azuredata #microsoftfabric #dataintegration
Responsibilities
• Engine layer: designing and implementing components for dataflow orchestration, distributed querying, query translation, connecting to external data sources, and script parsing/interpretation
• Service layer: designing and implementing infrastructure for a containerized, micro services based, high throughput architecture
• UI layer: designing and implementing performant, engaging web user interfaces for data visualization/exploration/transformation/connectivity and dataflow management