Spearhead the design and development of sophisticated data integration frameworks to consolidate diverse "big data" sources.
Partner with product and engineering teams to define best practices for product instrumentation and maximize the value of data products.
Architect automated processes and algorithms to cleanse and evaluate large datasets, ensuring our internal data products remain high-quality and trustworthy.
Extract and communicate meaningful insights to business managers to enhance client services and drive product-led growth.
Collaborate cross-functionally to identify and solve complex data analysis challenges across multiple domains.

Requirements

5+ years of experience in data engineering, architecture, or governance with a proven track record of managing data pipelines.
Expert proficiency in Python and SQL for developing robust data solutions.
Deep understanding of data lakes, columnar formats, ETL tools, and data quality standards.
Bachelor’s Degree in Computer Science, Data Analytics, Engineering, or a related technical field.
Strong critical thinking skills with the ability to work autonomously in a fast-paced environment.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata integration frameworksdata pipelinesdata lakesETL toolsdata quality standardsautomated processesalgorithmsdata analysis

Soft Skills

critical thinkingautonomous workcollaborationcommunicationproblem-solving

Certifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data AnalyticsBachelor’s Degree in Engineering