Senior Software Engineer - Ingestion
Databricks· Engineering
Hybrid (Bengaluru)Full-timePosted 11mo ago
About the role
Senior Software Engineer focusing on Lakeflow Connect ingestion capabilities, building and operating large-scale data ingestion systems to extract data from OLTP sources with minimal production impact, and integrating ingestion across Databricks surfaces.
Responsibilities
- Solve real business needs at large scale by applying your software engineering.
- Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
- Low level systems debugging, performance measurement & optimization on large production clusters.
- Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
- Use your deep experience to help prevent and investigate production issues.
- Plan and lead complicated technical projects that work with several teams within the company.
- Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
Qualifications
- BS (or higher) in Computer Science, or a related field
- 5+ years of production level experience in Python, Java, Scala, C++, or similar language
- Experience developing large-scale distributed systems from scratch
- Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server, Oracle, IBM etc) is a plus to have
- Hands-on experience in developing and operating backend systems
- Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members
Skills
Required:PythonJava
Nice to have:ScalaC++
Benefits
- Comprehensive benefits and perks (region-specific details available via provided link)
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
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Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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