About the Role:
Finatal is seeking an experienced Data Engineer to join our team for a 3-month contract with the potential for extension. As part of our private equity-backed IT services business, you will play a pivotal role in supporting our migration from SQL to Google BigQuery. The ideal candidate will have a strong background in backend engineering, with expertise in data loading, ingestion, and ETL processes from various data sources, such as Salesforce.
Key Responsibilities:
- Collaborate with internal teams to design and implement data pipelines for migrating from SQL to Google BigQuery.
- Develop and optimize ETL workflows to integrate data from multiple sources, including Salesforce.
- Write and execute efficient SQL and Python scripts to process, clean, and transform large datasets.
- Utilize API and ETL methods to integrate data into internal back-end systems.
- Create and maintain documentation for data pipeline processes and architecture.
- Support the team in leveraging Google BigQuery for analytics and reporting purposes.
- Work with visualization tools such as PowerBI, Tableau, and Looker to provide actionable insights.
- Troubleshoot and resolve data-related issues promptly to ensure seamless data operations.
Key Skills & Experience:
- Proven experience as a Data Engineer, preferably in an IT services or private equity-backed environment.
- Strong scripting skills in SQL and Python.
- Hands-on experience with Google BigQuery, including its architecture and advanced features.
- Familiarity with data visualization tools such as PowerBI, Tableau, and Looker.
- Expertise in developing ETL pipelines and integrating with APIs.
- Knowledge of Salesforce data structures and integration methods is a plus.
- Excellent problem-solving skills and the ability to work independently in a remote setting.
- Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
