
About Databricks
Empowering data teams with unified analytics
Key Highlights
- Headquartered in San Francisco, CA
- Valuation of $43 billion with $3.5 billion raised
- Serves over 7,000 customers including Comcast and Shell
- Utilizes Apache Spark for big data processing
Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...
🎁 Benefits
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
🌟 Culture
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...
Skills & Technologies
Overview
Databricks is hiring a Senior Software Engineer for their Money team to build innovative data and AI infrastructure solutions. You'll work with Java and contribute to Machine Learning and Generative AI projects. This role requires significant experience in software engineering.
Job Description
Who you are
You have 5+ years of experience in software engineering, with a strong background in building scalable systems and a passion for solving complex technical challenges. Your expertise in Java allows you to design and implement robust applications that meet the needs of data teams. You are familiar with Machine Learning concepts and have a keen interest in Generative AI, understanding how these technologies can be leveraged to enhance data insights and business outcomes.
You thrive in collaborative environments and enjoy working closely with cross-functional teams, including product managers and data scientists, to deliver high-quality solutions. Your problem-solving skills are complemented by your ability to communicate technical concepts clearly to non-technical stakeholders. You are proactive in identifying opportunities for improvement and optimization within existing systems.
Desirable
Experience with cloud platforms such as AWS or Azure is a plus, as is familiarity with data engineering practices. You have a growth mindset and are eager to learn new technologies and methodologies that can enhance your contributions to the team.
What you'll do
As a Senior Software Engineer on the Money team at Databricks, you will play a pivotal role in developing and optimizing the infrastructure that supports our data and AI solutions. You will be responsible for designing and implementing features that maximize the value our customers derive from their data projects. This includes working on innovative commercialization strategies and cost optimization tools that enhance the user experience across our platforms.
You will collaborate with other engineers to build a seamless and consistent experience for all Databricks products, ensuring that our solutions are scalable and efficient. Your work will involve writing clean, maintainable code and participating in code reviews to uphold the highest standards of software quality. You will also engage in performance monitoring and troubleshooting to ensure the reliability of our systems.
In addition to your technical responsibilities, you will have the opportunity to mentor junior engineers, sharing your knowledge and expertise to help them grow in their careers. You will contribute to the overall engineering culture at Databricks, fostering an environment of collaboration and continuous improvement.
What we offer
At Databricks, we offer a dynamic work environment where innovation is at the forefront of everything we do. You will be part of a team that is dedicated to solving some of the world's toughest problems through data and AI. We provide competitive compensation and benefits, along with opportunities for professional development and career advancement. Join us in Bengaluru as we build the future of data infrastructure and make a meaningful impact on our customers' success.
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