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Chief Data Innovation Officer
3 weeks ago
We are seeking an experienced data professional who is comfortable working in a dynamic environment.
- Key Responsibilities:
- Develop and maintain efficient ETL pipelines using FiveTran, DBT Cloud, and custom frameworks to ensure seamless data processing and scalability.
- Implement client-specific data transformations for HighTouch integration to meet diverse business needs and drive strategic outcomes.
- Support data ingestion and quality checks during client onboarding to guarantee accurate data insights and inform decision-making.
- Optimize Snowflake queries, compute usage, and data storage to enhance overall system performance and reduce costs.
- Collaborate with the Quality Control team for ETL validation and data consistency checks to maintain high-quality data standards and ensure data integrity.
Required Skills and Qualifications:
- A minimum of 5 years of experience in ETL development and data engineering, with a strong track record of delivering complex projects on time and within budget.
- Deep expertise in Snowflake and data pipeline tools (FiveTran, DBT Cloud, HighTouch), with a solid understanding of their applications and limitations, as well as experience in leveraging these technologies to drive business outcomes.
- Proficiency in SQL, Python, and AWS data services, with experience in applying these skills to solve real-world problems and deliver results.
- Experience with data quality frameworks and validation strategies, with a keen eye for detail and a passion for ensuring data accuracy and reliability.