Scientific Data Architect/Senior Scientific Data Architect - Boston
TetraScienceFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Must-have qualifications include deep knowledge of Snowflake, 5+ years in data-focused roles, expertise in ingestion technologies, experience with enterprise data warehouses, proficiency in ETL/ELT pipelines using tools like DataStage or Informatica, strong SQL skills, AWS cloud experience, Python and Scala programming, familiarity with data catalogues, and advanced English communication skills.
This information is not specified in the job description.
This information is not specified in the job description.
You will support and collaborate with cross-functional, agile teams including architects, BI specialists, and data scientists in a dynamic environment.
A strong candidate will have Snowflake certification, 5+ years of data engineering experience, expertise in ETL/ELT tools and enterprise data warehouses, AWS and Python/Scala skills, plus nice-to-haves like large-scale Snowflake migrations and data governance background.
Provides borderless payment solutions globally
Unlimit provides borderless payment solutions for businesses aiming to grow locally and globally. The company has developed a large in-house payment infrastructure that allows it to offer a wide range of financial services, including payment acceptance, payment processing, and corporate fund management. Businesses can easily acquire cards, utilize alternative payment methods, and handle international transfers through Unlimit's platform. What sets Unlimit apart from its competitors is its extensive coverage and variety of payment options, including unique local methods tailored to different regions. This enables businesses to confidently enter new markets. Unlimit's goal is to support innovative companies in moving beyond traditional banking technologies, facilitating their expansion and financial management in the evolving fintech landscape.