About The Position

Looking for a highly motivated 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).

Requirements

  • Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience
  • 3+ 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

Nice To Haves

  • 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
  • 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

Responsibilities

  • designing, building, and maintaining the operational and analytical capability in FI's data platforms
  • solution design
  • data analysis
  • end to end development
  • production rollout
  • production support activities

Benefits

  • Medical, vision, and dental benefits
  • 401k retirement plan
  • variable pay/incentives
  • paid time off
  • paid holidays are available for full time employees
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service