Photon

Builds custom software and AI for big companies

Java Backend Data Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timeUnited StatesIn-person

About the Job

Requirements

A Bachelor's or Master's degree in a technology-related field, such as Engineering or Computer Science, is required.
At least 5 years of working experience is required.
At least 10 years of Java development experience using Spring frameworks, including mandatory experience writing batch jobs with Spring Batch.
At least 2 years of experience developing batch or backend applications running in Amazon Web Services, with a focus on Amazon Web Services Batch and Amazon Simple Storage Service.
At least 3 years of experience working with Structured Query Language, including ANSI SQL, Oracle, and Snowflake.
At least 1 year of Python development experience.
Experience with Unix shell scripting, including Bash and KornShell, and scheduling or orchestration tools such as Control-M.
Strong data modeling skills and experience working with Third Normal Form and Star Schema data models.
Proven data analysis skills and the ability to work in a complex data ecosystem.
Experience with DevOps, Continuous Integration, and Continuous Delivery, including Jenkins, Terraform, and CloudFormation.
Experience with Agile methodologies, including Scrum.
Experience building and deploying containerized applications using Docker.
The ability to handle ambiguity and work in a fast-paced environment independently or collaboratively.
Interpersonal skills to work with multiple teams within and across the organization.

Responsibilities

Design, build, and maintain operational and analytical capabilities in FI's data platforms.
Perform solution design, data analysis, end-to-end development, production rollout, and production support activities.
Maintain and improve the quality of financial product information brought into the data ecosystem.
Work with business partners to enhance their user experience and provide curated data to help them drive business results.
Enhance the quality of financial product information in systems used by sales, compensation, and reporting users.

Desired Qualifications

Hands-on experience optimizing and tuning SQL queries to improve performance.
Work experience in the financial services industry.

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

About the Company

Photon

Builds custom software and AI for big companies

Photon designs, builds, and runs custom software for large companies, combining an in-house creative agency with its own engineering teams. Its flagship client work includes rebuilding Samsung's US online store as a set of smaller linked services and creating Olive Garden's mobile app, which lets diners join the waitlist from their phones instead of waiting at the door. Clients hire Photon's teams to plan and code their apps, websites, and AI tools and to keep them running afterward, paying for the engineers and designers assigned to each project. Photon is privately held and based in London, with its US arm in Dallas and engineering centers in Chennai and Bengaluru.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: Not listed
Headquarters: London, United Kingdom
Founded: Not listed

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