Data Engineer
About The Position
You will architect, develop, and test large scale and efficient solutions that provide Client leadership with the accurate data required to rapidly understand and adapt to changing business conditions. Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability Create data products, enabling self-service and predictability by any consumer Build libraries and frameworks that drive leverage and productivity for the entire team Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams.
Requirements
- 6+ years software engineering, including strong SQL and data focus
- Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka
- Ability to analyze complex datasets and design solutions with optimum quality and efficiency
- Familiarity with SDLC best practices, version control, CI/CD
- Candidates must not be from the insurance, banking, or finance domains and must have experience working with enterprise-level companies.
Responsibilities
- architect, develop, and test large scale and efficient solutions
- Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
- Create data products, enabling self-service and predictability by any consumer
- Build libraries and frameworks that drive leverage and productivity for the entire team
- Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
