Senior Software Engineer - Ingestion

Databricks

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Bengaluru, India First seen 3 weeks, 1 day ago Last seen 9 hours, 8 minutes ago Greenhouse

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Job Description

AI Summary

• Design and build scalable data ingestion connectors for enterprise applications, databases, and cloud storage sources into Databricks' Lakehouse platform • Lead development of low-impact data extraction systems from production OLTP environments using incremental capture and log parsing techniques, handling hundreds of TB daily across thousands of customers • Requires 6+ years production experience with Python, Java, Scala, C++ or similar languages, plus BS in Computer Science or related field • Prior experience with database internals, replication, backup, and transaction recovery at major vendors (SQL Server, Oracle, IBM) is highly valued • Own technical projects end-to-end from architecture and design through implementation and production operations, working cross-functionally with multiple teams at the company

P-1403

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of 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 (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., 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. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking 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
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 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.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of 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.

Skills

go java python sql

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Job Information

Company:
Databricks
Location:
Bengaluru, India
Job Type:
Internship
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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66 /100

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