Data Engineer
Posted 14ds ago
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Job Description
Data Engineer optimizing data pipelines while collaborating with Data Scientists at a data and analytics startup. Ensuring data reliability and seamless delivery in a supportive environment.
Responsibilities:
- Monitor, maintain, and improve scalable data pipelines that empower the best-in-class Subscriber Metrics data products.
- Proactively identify and troubleshoot pipeline failures, and develop corrective action plans when necessary.
- Support our world-class Data Operations by improving and optimizing data pipelines to meet the challenges of the ever-changing subscription landscape.
- Collaborate with cross-functional teams to ensure clear communication and efficient delivery of our data.
- Update and manage critical configuration files (YAML).
- Contribute to the documentation of processes and procedures.
- Integrate systems with various data sources such as email receipt data, credit card data, and more.
- Continuously improve data quality through automated validation and anomaly detection.
Requirements:
- 3+ years of experience maintaining data pipelines and data products.
- Experience applying software engineering best practices (design, code review, error handling, testing, etc.).
- Proficient in Python, YAML, and SQL.
- Experience with Google Cloud Platform.
- Experience with distributed data processing and data modeling concepts.
- Web Application development experience. Experience with Django is a plus.
- Exposure to business intelligence (BI) products and deploying machine learning models is a plus.
- Ability to quickly learn new technologies.
- Self-starter with the capacity to deliver on multiple initiatives, prioritize time and resources, and meet deadlines in a fast-paced startup environment.
- Strong written and verbal communication skills.
- Advanced English proficiency (B2-C1).
Benefits:
- Flexible work arrangements
- Professional development opportunities
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