
Lead Data Pipeline Specialist
22 hours ago
About the Role:
We are seeking a skilled Data Engineer to join our team. As a Data Engineer at Cover Genius, you will be responsible for developing and maintaining robust data pipelines and infrastructure for analytics, machine learning, and reporting platforms.
Key Responsibilities:
- Design and implement efficient data pipelines to collect, process, and store large volumes of data from SQL sources, APIs, and streaming data.
- Maintain and operate the data platform using Airflow, dbt, Dataflow, ClickHouse, and BigQuery.
- Achieve defined data availability and quality KPIs.
- Implement data governance and security measures to ensure compliance with data privacy regulations and best practices.
- Troubleshoot data-related issues, perform root-cause analysis, and implement preventive measures.
- Support machine learning engineers to create real-time and batch data pipelines that fit data specifications and ML inference needs.
- Support analytics engineers to build data models and metrics for product performance.
Requirements:
- Bachelor's degree in Computer Science or a related STEM field.
- Minimum 3 years of experience as a data engineer.
- Strong proficiency with cloud data warehouses such as BigQuery, ClickHouse, Snowflake, or similar.
- Proficient SQL and Python coding skills to deliver reliable data engineering and/or ML solutions.
- Experience developing Airflow or other open-source data orchestration tools and operating them in production.
- Experience building AI agents is a bonus.
What We Offer:
- Flexible work environment with remote days and office days, flexible start/finish times, and a Wellness day each month.
- Employee stock options to share in the company's success.
- Opportunity to work with passionate colleagues and participate in social impact programs.
- Engaging social initiatives and a collaborative culture.
- Cover Genius promotes diversity and inclusivity.
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