Databricks
Full TimeBuild and maintain data pipelines, AI tools, and dashboards for Finance and Accounting using Databricks, Python, and SQL. You'll work with finance teams to automate processes like journal entries, revenue recognition, and reporting across accounting and FP&A domains. This requires 7+ years in finance, data engineering, or analytics engineering, with proficiency in SQL and Python, experience with Apache Spark or Databricks, and knowledge of financial source systems like SAP or NetSuite.
Written from this posting by Neural Jobs AI. The full description is below.
About the Role
As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and work as a core member of a team that combines engineering rigour with Finance domain knowledge.
This role is ideal for someone who is technically strong, eager to go deep on the Databricks platform, and excited to apply modern data and AI tooling to real Finance problems.
What You Will Do
What We Look For
Nice to Have
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
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Databricks builds the Data Intelligence Platform, a lakehouse architecture that unifies data warehousing, analytics and machine learning on open formats. The company originated Apache Spark, Delta Lake and MLflow.
Founded in 2013 by the creators of Spark at UC Berkeley, Databricks serves enterprises building data pipelines, analytics and AI applications at scale.
India
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