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Software Engineer II - Databricks Engineer + Python programing

A leading global financial services firm offering investment banking, financial services for consumers, small businesses, commercial banking, and asset management.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Finance · Enterprise SaaS

Description For Software Engineer II - Databricks Engineer + Python programing

You're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II - Databricks Engineer + Python programing at JPMorgan Chase within the Commercial & Investment Bank Team, you'll serve as a seasoned member of an agile team to deliver trusted market-leading Data Engineering Solutions and Data products in a secure, stable, and scalable way. You'll be responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

The role focuses on implementing and maintaining Databricks integrations with various cloud providers and data platforms. You'll work closely with data scientists and business stakeholders to deliver robust data engineering solutions. Key responsibilities include developing data product interfaces, optimizing performance, and providing technical guidance on data mesh principles.

Required skills include strong Python programming experience, expertise with Databricks and various cloud platforms, and proven experience in data engineering. You'll need at least 2 years of applied experience and deep knowledge of big data technologies including SQL, Apache Spark, and Delta Lake.

This is an excellent opportunity to work with cutting-edge data technologies at one of the world's leading financial institutions, with the chance to make a significant impact on critical data engineering initiatives.

Last updated 11 days ago

Responsibilities For Software Engineer II - Databricks Engineer + Python programing

  • Implement Databricks integration and interoperability with other cloud providers such as AWS, Azure, GCP, Snowflake, Immuta, and OpenAI
  • Collaborate with data scientists, analysts and business stakeholders to understand requirements and deliver solutions
  • Develop and maintain data product interfaces, data contracts, and governance frameworks
  • Monitor and optimize the performance and scalability of data products and infrastructure
  • Provide training and support to domain teams on data mesh principles and cloud data technologies
  • Stay up-to-date with industry trends and emerging technologies in data mesh and cloud computing

Requirements For Software Engineer II - Databricks Engineer + Python programing

Python
  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Applied experience in Data Engineering space using enterprise tools, home grown frameworks and speciality in Databricks implementation
  • Experience with multiple cloud platforms such as AWS, Azure, Google Cloud, Databricks, and Snowflake
  • Experience in Python programing is must
  • Experience as a Databricks Engineer in an enterprise environment
  • Hands-on practical experience delivering application development, testing, and operational stability
  • Deep working knowledge in SQL, Apache Spark, Delta Lake, DLT and other big data technologies

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