we are looking for a talented and Senior Data Engineer to join our data group.
The team is responsible for processing and transforming data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Designing and implementing data platform
Transforming, modeling, and serving all medical data.
Utilize data best practices, to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in the data field.
The team is responsible for processing and transforming data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Designing and implementing data platform
Transforming, modeling, and serving all medical data.
Utilize data best practices, to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in the data field.
Requirements:
6+ years of experience in software development, with at least 4-5 years as a data engineer.
Proven track record designing and implementing scalable ETL/ELT data pipelines.
Strong SQL skills.
Experience with relational and analytical data platforms (e.g., PostgreSQL, Snowflake, data lakes).
Strong coding skills (preferably in Python), with prior software engineering experience (e.g., API development) a plus.
Experience with cloud environments, AWS preferable
Previous managerial or leadership experience is a strong advantage
6+ years of experience in software development, with at least 4-5 years as a data engineer.
Proven track record designing and implementing scalable ETL/ELT data pipelines.
Strong SQL skills.
Experience with relational and analytical data platforms (e.g., PostgreSQL, Snowflake, data lakes).
Strong coding skills (preferably in Python), with prior software engineering experience (e.g., API development) a plus.
Experience with cloud environments, AWS preferable
Previous managerial or leadership experience is a strong advantage
This position is open to all candidates.
