
Data Engineering Leader
1 week ago
Job Summary:
We are seeking a seasoned professional to spearhead our data engineering initiatives. The ideal candidate will have expertise in designing and implementing efficient data pipelines, as well as collaborating with cross-functional teams to drive business outcomes.
Key Responsibilities:
- Develop and Maintain Data Pipelines: Design, implement, and maintain scalable data pipelines using FiveTran, DBT Cloud, and custom frameworks.
- Implement Client-Specific Data Transformations: Collaborate with clients to develop tailored data transformations for HighTouch integration.
- Support Data Ingestion and Quality Checks: Ensure seamless data ingestion and quality checks during client onboarding.
- Optimize Snowflake Queries and Compute Usage: Analyze and optimize Snowflake queries, compute usage, and data storage to maximize efficiency.
- Collaborate with QC Team: Work closely with the Quality Control team to validate ETL processes and ensure data consistency.
- 5+ Years of Experience: Proven experience in ETL development and data engineering, with a strong track record of delivering high-quality results.
- Expertise in Snowflake and Data Pipeline Tools: Strong proficiency in Snowflake and data pipeline tools (FiveTran, DBT Cloud, HighTouch).
- Proficiency in SQL, Python, and AWS Data Services: Proficient in SQL, Python, and Amazon Web Services (AWS) data services.
- Data Quality Frameworks and Validation Strategies: Experience with data quality frameworks and validation strategies.
Mitra AI is an innovative company that values collaboration and mutual growth. We strive to create a positive work environment where employees can thrive.
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