Data Engineer | Data Analyst
hace 1 día
ECF Data is a forward-thinking organization that prioritizes innovation and sustainability in the fashion industry. We're committed to creating a responsible shopping experience and reducing overproduction in fashion.
The RoleWe're seeking a highly skilled Data Engineer | Data Analyst to join our team. As a key member of our data team, you will be responsible for designing and developing data pipelines, ETL processes, and data warehouses on the Google Cloud platform.
Key Responsibilities- Data Pipeline Development: Design and develop data pipelines on the Google Cloud platform to ensure seamless data flow and efficient processing.
- ETL Process Management: Develop and manage ETL processes to transform raw data into meaningful insights, utilizing GCP tools such as Cloud Data Fusion, Cloud Composer, and Dataflow.
- Data Warehouse Management: Create and maintain data warehouses on the Google Cloud platform, ensuring data governance practices are upheld.
- DBT Implementation: Implement and manage DBT (Data Build Tool) for data transformation, ensuring data accuracy and consistency.
- Dashboard Creation: Create and maintain dashboards in Looker to provide actionable insights to stakeholders.
- Data Governance: Ensure and maintain data governance practices, including data quality, security, and compliance.
- Collaboration: Collaborate with cross-functional teams to meet data requirements and support IT and digital projects.
- Automation: Automate data collection and processing solutions using Python and SQL, ensuring efficient data processing and reduced manual effort.
- Analysis: Analyze data to identify trends and anomalies, providing insights to inform business decisions.
- System Monitoring: Monitor system performance and troubleshoot issues, ensuring data systems are running smoothly.
- Education: Bachelor's degree in Computer Science, Statistics, Physics, Mathematics, or a related field.
- Experience: At least five years of experience developing data pipelines on platforms such as Google Cloud.
- Skills: Proficient in Python, SQL, and automation techniques, with knowledge of GCP services such as BigQuery, Dataflow, and Pub/Sub.
- Tools: Experience with workflow management engines (e.g., Airflow, Google Cloud Composer) and familiarity with DBT (Data Build Tool) for data transformation.
- Soft Skills: Excellent problem-solving skills, attention to detail, and ability to work independently with minimal supervision.
As a Data Engineer | Data Analyst at ECF Data, you will have the opportunity to work with a talented team, develop your skills, and contribute to the growth of a responsible and innovative organization.
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