Senior Software Engineer - Ingestion

Cacheflow; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Databricks in Bengaluru is seeking engineers for the Lakeflow Connect team to ingest data from OLTP sources with minimal production impact. You will work on incremental data capture and log parsing, building scalable backend systems that support Databricks surfaces like Dashboards, Notebooks, SQL, and AI.

The role emphasizes hands-on development, collaboration across product teams, and ownership of projects from design through operations, with potential impact across thousands of customer

Qualifications

• BS (or higher) in Computer Science, or a related field.
• 6+ years of production-level experience with Python/Java/Scala/C++.
• Experience in large-scale distributed systems development.
• Experience with DB replication/backup/transaction recovery is a plus.
• Hands-on experience in backend systems development and operations.

Responsibilities

• Solve real business needs at large scale by applying software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily.
• Perform low-level systems debugging, performance measurement & optimization on large clusters.
• Plan and lead complicated technical projects with multiple teams.

Skills

Python

Java

Scala

C++

Distributed systems

Backend systems

Education

BS in Computer Science

Tools

SQL Server

Oracle

IBM DB2

Job description

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from building the next mode of transportation to accelerating medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready‑to‑use, point‑and‑click connectors for a wide variety of sources, including enterprise applications (Salesforce, Workday, ServiceNow, SharePoint), databases (SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities, and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for engineers with experience in core database internals to join our Lakeflow Connect team. The role focuses on extracting data from OLTP systems while imposing minimal load on production systems. We build systems that use techniques such as incremental data capture and log parsing. We want engineers who are hands‑on and want to make a large impact on an important problem for the company.

The Impact you will have

• 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.
• Perform 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.

What we look for

• BS (or higher) in Computer Science, or a related field.
• 6+ years of production‑level experience in one of: Python, Java, Scala, C++, or a similar language.
• Experience developing large‑scale distributed systems from scratch.
• Experience in areas such as database replication, backup, transaction recovery at one of the major vendors (Microsoft SQL Server, Oracle, IBM, etc.) is a plus.
• Hands‑on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design through implementation and ongoing operations, with guidance from senior team members.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.