Job Description

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Be part of a team that is pushing the boundaries of what's possible. Our culture of diversity, intellectual curiosity, and problem solving is essential to our success. We bring people together with a wide variety of backgrounds, experiences, and perspectives. We support teamwork, thinking big, and taking risks in a blame-free environment. We promote self-direction to work on relevant projects, while building an environment that provides support and mentorship needed to learn and grow. We're excited to see what you'll bring to our team.
As a Software Engineer III at JPMorgan Chase, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities

• Manage data integration and data analysis of disparate systems.
• Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client.
• Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources.
• Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs.
• Interface with other internal product development teams as well as cross-functional teams, including Product Management, Integration Engineering, Quality Engineering, and System Admin Teams.
• Work with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them easily consumable by other products.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong experience in data integration projects using Big Data technologies, preferably related to human resources analytics.
• Have hands-on experience with a minimum of 5 years on Spark and Scala.
• Demonstrate experience in AWS Data Warehousing and database platforms.
• Know Big Data querying tools, such as Pig, Hive, and Impala.
• Integrate data from different types of file-storage formats like Parquet, ORC, Avro, and Sequence files.
• Understand how to build scalable, high-performance distributed services/systems.
• Have strong knowledge of Data Warehousing and Data Lake concepts.
• Work with Java open-source and API standards.
• Solve problems, troubleshoot, and analyze effectively.
• Communicate complex concepts clearly to different audiences with excellent communication, presentation, interpersonal, and analytical skills.
• Experience with technologies like Oracle/SQL and NoSQL data stores such as MongoDB.Quickly learn new technologies in a dynamic environment.

Preferred qualifications, capabilities, and skills
- Databricks