Software Engineer – ETL, Java

RevSpringBoston, MA

About The Position

This role involves collaborating with cross-functional teams to translate requirements into software solutions for processing large amounts of data. The engineer will focus on developing efficient ETL and data processes, writing clean and maintainable code, conducting code reviews, optimizing software performance, and staying updated with advancements in data processing and ETL development. The position also requires regular communication with product owners and stakeholders, ensuring thorough testing and business sign-off for new code deployments, and timely handling of support requests and errors.

Requirements

  • 5 + years of experience with Java 11+(required), managing and working in Maven projects
  • 2+ years of experience with Python (required)
  • Knowledge and understanding of complex data pipelines utilizing ETL processes (required)
  • 2+ years of experience using relational databases and deep knowledge of SQL with the ability to understand complex data relationships and transformations (required)
  • Knowledge and understanding of Git (required)
  • 1+ year of experience with various GCP technologies
  • Google Dataflow (Apache Beam SDK) (equivalent Hadoop technologies)
  • BigQuery (equivalent of any data warehouse technologies: Snowflake, Azure DW, Redshift)
  • Cloud Storage Buckets (equivalent to S3)
  • GCloud CLI
  • Knowledge and understanding of Docker, Linux, Shell/Bash and virtualization technologies
  • Knowledge and understanding of CI/CD methodologies
  • Ability to understand and build UML diagrams to showcase complex logic
  • Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations.
  • Ability to write reports, business correspondence and procedure manuals.
  • Ability to effectively present information and respond to questions from a variety of both internal and external sources.

Responsibilities

  • Collaborate with teams across the organization, including product managers, data engineers and business leaders, to translate requirements into software solutions to process large amounts of data.
  • Develop new ways to ensure ETL and data processes are running efficiently.
  • Write clean, maintainable, and reusable code that adheres to best practices and coding standards.
  • Conduct thorough code reviews and provide constructive feedback to ensure high-quality codebase.
  • Optimize software performance and ensure scalability and reliability.
  • Stay up-to-date with the latest trends and advancements in data processing and ETL development and apply them to enhance our products.
  • Meet with product owners and other stakeholders weekly to discuss priorities and project requirements.
  • Ensure deployment of new code is tested thoroughly and has business sign off from stakeholders as well as senior leadership.
  • Handle all incoming support requests and errors in a timely manner and within the necessary time frame and time zone commitments to the business.
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