Contact Details:
Bisane
Email:
Cell:
Job Title: Senior Analytics Engineer
Location: Austin TX (Hybrid
Duration: 12 Months
Years of Experience: 8 Yrs.
Required Hours/Week: 40hrs./Week
Duties and Responsibilities:
- Architect & Build Data Solutions: Design develop and maintain scalable and forward-looking data models using custom Python DBT and Airflow solution to obtain the right mix of ETL/ELT pipelines.
- Own the Data Modeling Layer: Serve as the subject matter expert for our DBT projects establishing best practices for code testing and documentation to ensure data quality and reliability.
- Drive Business Impact: Partner closely with AI Engineer business analysts and program managers to understand their needs and deliver data solutions that directly inform strategy and decision-making.
- Integrate Diverse Data Sources: Develop processes to extract and integrate data from a variety of sources including third-party tools internal/external application databases and internal/external AI/ML service APIs.
- Champion Data Governance: Implement and uphold data quality standards and contribute to data governance policies to ensure our data is accurate consistent and trustworthy through tools like Collibra and Datahub .
- Lead and Mentor: Act as a technical leader and mentor for other team members leading high-level discussions on technology strategy architecture and best practices.
Skills and Experience Required:
Contact Details: Bisane Email: Cell: Job Title: Senior Analytics Engineer Location: Austin TX (Hybrid Duration: 12 Months Years of Experience: 8 Yrs. Required Hours/Week: 40hrs./Week Duties and Responsibilities: Architect & Build Data Solutions: Design develop and maintain sca...
Contact Details:
Bisane
Email:
Cell:
Job Title: Senior Analytics Engineer
Location: Austin TX (Hybrid
Duration: 12 Months
Years of Experience: 8 Yrs.
Required Hours/Week: 40hrs./Week
Duties and Responsibilities:
- Architect & Build Data Solutions: Design develop and maintain scalable and forward-looking data models using custom Python DBT and Airflow solution to obtain the right mix of ETL/ELT pipelines.
- Own the Data Modeling Layer: Serve as the subject matter expert for our DBT projects establishing best practices for code testing and documentation to ensure data quality and reliability.
- Drive Business Impact: Partner closely with AI Engineer business analysts and program managers to understand their needs and deliver data solutions that directly inform strategy and decision-making.
- Integrate Diverse Data Sources: Develop processes to extract and integrate data from a variety of sources including third-party tools internal/external application databases and internal/external AI/ML service APIs.
- Champion Data Governance: Implement and uphold data quality standards and contribute to data governance policies to ensure our data is accurate consistent and trustworthy through tools like Collibra and Datahub .
- Lead and Mentor: Act as a technical leader and mentor for other team members leading high-level discussions on technology strategy architecture and best practices.
Skills and Experience Required:
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