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Become a Top-Tier Data Engineer
2 weeks ago
Data engineers at a leading organization design and develop robust data pipelines and infrastructure for analytics, machine learning, and reporting platforms. They work with cloud-based services, collaborating with data scientists and software engineers to ensure data availability and accuracy.
About the Role- Develop efficient data pipelines to collect, process, and store large volumes of data from SQL sources, APIs, and streaming data.
- Maintain and operate data platforms 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.
- 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 solutions.
- Experience developing Airflow or other open-source data orchestration tools and operating them in production.
- Flexible, hybrid work environment.
- Employee stock options.
- Opportunity to work with passionate colleagues and participate in social impact programs.
This organization promotes diversity and inclusivity. 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.