Sr. Software Engineer

About the role

This role will be based in Bangalore, India. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We leverage modern cloud technologies, data engineering practices, and governance capabilities to deliver trusted, high-quality data products across LinkedIn.

What you'll do

• Design, develop, and maintain scalable enterprise Data Warehouse and Lakehouse solutions using Azure Databricks, Azure Data Factory, Azure Data Lake Storage
• Build and optimize batch and incremental data pipelines using Python, PySpark, SQL, and distributed data processing frameworks
• Develop secure and reliable data integrations with enterprise applications using REST/SOAP APIs, SFTP, and database connectivity
• Implement data modeling, data quality, metadata management, lineage, and governance capabilities to deliver trusted, analytics-ready datasets
• Design and maintain highly available, secure, and performant data platforms with monitoring, automation, and disaster recovery capabilities

What you need

• 5–9 years in software engineering
• SQL
• Python
• Data structures
• ETL
• Azure
• Spark
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Microservices
• FastAPI
• LLMs
• Power BI
• Flask
• Data warehousing

What you get