About the Job
This project will deliver comprehensive data products to the FinSys Data Platform team within Employer Foundations. These products will support critical business functions across Accounting, Finance, Payments, and Tax teams, ensuring improved data availability and reliability for multiple stakeholders.
What You'll Do
- Design, build, and maintain comprehensive data products for the FinSys Data Platform team.
- Develop and optimize data pipelines using ETL tools to ensure reliable data delivery.
- Support critical business functions across Accounting, Finance, Payments, and Tax teams.
- Ensure improved data availability, quality, and reliability for multiple stakeholders.
- Manage workflow orchestration and pipeline scheduling across big data environments.
- Collaborate with cross-functional stakeholders to translate business needs into data solutions.
Requirement
s
Must Ha
- Strong Python skills; ideally Senior-level, 5–7 years of experien
- 5+ years in a Data Engineering or Data Warehousing ro
- 5+ years building data pipelines using ETL tools (dbt preferre
- 3+ years of hands-on experience with big data technologies such as Snowflake, Redshift, Hive, Kafka, Spark, or simil
- Extensive experience with both NoSQL and SQL databas
- Expertise in workflow management and pipeline tools like Airfl
- 5+ years of coding experience (preferably in Pytho
- Master's degree (or a Bachelor's degree with relevant experience) in Math, Statistics, Computer Science, or a related technical fie
Soft Skills Requir
- edStrong communication and stakeholder management skil
- lsDemonstrated ability to manage competing priorities and deliver work within agreed sprint commitmen
- tsComfortable working in highly collaborative, cross-functional Agile tea
- msSelf-starter mindset with strong problem-solving and critical-thinking skil
ls