Senior Data Engineer
Fleetio- Full Time
- Senior (5 to 8 years)
Candidates should possess 4-5+ years of relevant experience as a Data Engineer, with a strong focus on data warehousing, and demonstrate experience in building and optimizing data pipelines. They must be proficient in SQL and have experience with data architecture, along with the ability to collect and integrate raw data from various vendors and transform it into clean, structured data sets.
As a Freelance Analytical Data Engineer, the individual will be responsible for expanding and optimizing data, the data pipeline architecture, and the data flow for cross-functional teams, building a scalable and maintainable data mart. This includes collecting and integrating raw data, transforming it into structured data sets, ensuring data integrity and usability, and working closely with stakeholders to align data models with business needs and support future growth. They will also build data warehouses and data pipelines in Snowflake, query and analyze large datasets using SQL, debug and resolve data issues, and develop serverless data processing workflows using Airflow, while leveraging data assets to meet mission needs and establish data standards and governance.
Provides investment advice and financial education
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