Key Responsibilities:
- Practice the best software engineering principles to design and implement efficient data pipelines to collect, process, store large volumes of data, from both SQL, API, streaming data and so on
- Following the best practices to maintain and operate the data platform including Airflow, dbt, Dataflow and BigQuery. Achieving the required data availability and accuracy KPI.Implementing data governance and security measures, ensuring compliance with data privacy regulations and best practices
- Troubleshooting and resolving data-related issues, conducting root cause analysis, and implementing preventive measures
- Support Machine Learning Engineers to creating real-time and batch data pipelines that fit the data specification and ML inference assessment
- Support Analytics Engineers to build out data models to build out metrics for product performance
To be successful in this role you will bring:
- Strong proficiency in using cloud data warehouse such as BigQuery, Snowflake, Redshift or any other cloud based data warehouse
- You have proficient SQL and Python coding skills to deliver reliable solutions for data engineering and/or machine learning use
- You have experience developing Airflow or other open source data orchestration tool and operate it in production environment for work
- You are reliable as an individual, owning the work you shipped
- You are self-motivated and continuously study the new practices and toolings in data engineering
- B.S., M.S in Data Science, Computer Science, Math or a related STEM field
- Minimum 1 year of working experiences as a data engineer
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