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Data Platform Developer
2 semanas atrás
A skilled Data Engineer will play a crucial role in developing and maintaining a data platform that provides actionable insights to teams.
The ideal candidate will have expertise in designing and implementing data architectures, as well as experience with ETL processes and data modeling.
Key Responsibilities- Manage data ingestion into Google BigQuery using Fivetran for accuracy and efficiency.
- Define and build the semantic layer for our data platform using DBT to facilitate user-friendly reporting and analysis.
- Collaborate with cross-functional teams to understand data requirements and implement appropriate data models.
- Develop and optimize ETL processes to enhance data flow and maintain high performance in data operations.
- Create and maintain comprehensive documentation of data architecture, workflows, and transformations.
- Monitor and troubleshoot issues related to data ingestion and transformation to ensure robust data availability.
- Work with Looker to translate complex data into actionable insights through compelling visualizations and dashboards.
- 3+ years of experience in data engineering.
- Proficient in Google BigQuery and experienced in setting up and managing data warehouses.
- Strong skills in DBT, including defining data transformations and semantic layers.
- Hands-on experience with Fivetran for data movement across diverse data sources.
- Solid understanding of ETL processes and data modeling best practices.
- Proficient in SQL for querying and manipulating data effectively.
- Strong communication skills to effectively collaborate with diverse teams.
- Familiarity with Looker and creating interactive dashboards.
- Experience in data governance and data quality management practices.
- Knowledge of cloud infrastructure and data lakes would be an asset.
- College degree in Computer Science, Information Technology, or a related field.
- Excellent problem-solving skills and ability to work independently in a remote setting.
