
Lead Data Pipelines Specialist
2 days ago
We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for designing and implementing robust data pipelines and data infrastructure for analytics, machine learning, and reporting platforms.
This role requires expertise in designing and implementing efficient data pipelines to collect, process, and store large volumes of data from SQL sources, APIs, and streaming data.
Main Responsibilities:- Design and implement data pipelines using SQL and Python to support analytics, machine learning, and reporting.
- Maintain and operate the data platform using Airflow, dbt, Dataflow, ClickHouse, and BigQuery.
- Ensure data availability and quality by achieving defined KPIs and implementing data governance and security measures.
- Troubleshoot data-related issues, perform root-cause analysis, and implement preventive measures.
- Support machine learning engineers and analytics engineers to create real-time and batch data pipelines that fit data specifications and ML inference needs.
To be successful in this role, you will need:
- A B.S. 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.
We offer:
- A flexible, hybrid 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.
We are an equal opportunities employer and welcome applicants from diverse backgrounds. We do not tolerate discrimination or harassment based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
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