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Job Description
Structured overview of role & requirementsAbout This Role
Lead technical decisions and architectural design for scalable data sub-systems to meet product requirements.
Design, build, and optimize high-volume ETL/ELT data pipelines, APIs, and microservices, ensuring data quality and reliability.
Mentor and guide junior to mid-level data engineers through code reviews, pair programming, and breaking down tasks.
Minimum Requirements
5+ years of senior or lead developer experience including technical mentorship and system architecture.
Hands-on experience in Python and designing/building data pipelines, data APIs, ETL/ELT processes.
Experience with SQL and NoSQL databases such as MySQL/MariaDB, PostgreSQL, MongoDB.
Degree in Computer Science, Computer Engineering, or similar technical field.
Ideal Candidate Profile
Senior-level data engineer with strong technical leadership and mentorship skills in data engineering teams.
Experienced in converting complex product requirements into scalable engineering solutions with a strategic mindset.
Comfortable balancing hands-on coding with architectural oversight and production operations in a SaaS or life sciences data environment.