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Photon

Java backend data engineer - Smithfield RI

Reposted One Month Ago
Remote
2 Locations
40K-142K Annually
Expert/Leader
Remote
2 Locations
40K-142K Annually
Expert/Leader
Design, build, and maintain operational and analytical data platform capabilities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. Deliver end-to-end development, production rollout, and support; improve financial product data quality, modeling, and SQL performance; collaborate with business partners and squads.
The summary above was generated by AI

Looking for a highly motivated Java Backend Data Engineer responsible for designing, building, and maintaining the operational and analytical capability in FI's data platforms. The work involves solution design, data analysis, end to end development, production rollout, and production support activities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. The role will be involved in projects centered around maintaining and improving the quality of financial product information brought into our data ecosystem that will provide value to our compensation, sales, and reporting users. The role will be positioned as a more senior developer within a single squad.
The skillset aligns with a Java backend data engineer. Top 3 required skills are Spring Batch, AWS, and SQL (Oracle, Snowflake).

The Expertise and Skills You Bring

  • Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience
  • 10+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is a must
  • 2+ years of experience developing batch / backend applications that run in AWS, with focus on AWS Batch and S3
  • 3+ years working with SQL (ANSI SQL, Oracle, Snowflake)
  • 1+ years of Python development
  • Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M)
  • Strong data modeling skills with experience working with 3NF and Star Schema data models
  • Proven data analysis skills; not afraid to work in a complex data ecosystem
  • Hands-on experience on SQL query optimization and tuning to improve performance is desirable
  • Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation)
  • Experience in Agile methodologies (SCRUM)
  • Experience building and deploying containerized applications using Docker
  • Work experience in the financial services industry is a plus
  • Proven track record to handle ambiguity and work in a fast-paced environment, either independently or in a collaborative manner
  • Good interpersonal skills to work with multiple teams within the business unit and across the organization

 The Value You Deliver

  • Passion and intellectually curiosity to learn new technologies and business areas
  • Working with our business partners to enhance their user experience and provide them curated data to help them drive business results more effectively
  • Enhancing data quality of financial product information in our systems that has large impact on sales, compensation, and reporting business users
     

Compensation, Benefits and Duration

Minimum Compensation: USD 40,000
Maximum Compensation: USD 142,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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