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Senior Data Engineer
2 months ago
Tenzo is a pioneering restaurant performance optimization company that empowers restaurant operators to make data-driven decisions. Our mission is to revolutionize the restaurant industry by providing cutting-edge technology solutions that drive business growth and profitability.
Job SummaryWe are seeking an experienced Senior Data Engineer to join our Product Engineering team, specifically our Aggregate Team. As a Senior Data Engineer, you will play a critical role in designing and developing data pipelines, orchestrating key activities such as data ingestion, extraction, and transformation, and ensuring the reliability and security of integration points.
Key Responsibilities- Design and develop data pipelines using industry-standard protocols and APIs.
- Work on complex data challenges, balancing delivery of short-term wins and longer-term value.
- Build robust, scalable, and efficient integrations using industry-standard protocols and APIs.
- Optimize and troubleshoot data workflows to ensure efficiency and reliability.
- Implement and improve data quality and validation checks to ensure data integrity.
- Identify, troubleshoot, and resolve data mismatch bugs and other data quality issues.
- Contribute to the development and maintenance of our data warehouse solution on Snowflake.
- Collaborate with our product manager and stakeholders to collect and refine data requirements.
- Optimize data storage, infrastructure performance, and cost.
- Practice and promote excellent data and cloud engineering best practices.
- Proficient in Python programming for data manipulation and automation.
- Proficiency in SQL and experience with relational databases such as PostgreSQL, including database administration, tuning, and optimization.
- Experience with data pipeline and workflow management tools such as Apache Airflow.
- Proficiency in Git.
- Ability and eagerness to write high-quality code, technical documentation, architecture diagrams, and production plans.
- Strong understanding of data challenges and strategies to address them, including data quality, privacy, and security.
- A pragmatic approach to data engineering, balancing the need for near-term value with future-proofing and scalability.
- Strong knowledge of data management best practices, including frameworks for testing, monitoring, and alerting in relation to data pipelines.
- A competitive salary and benefits package.
- A dynamic and supportive work environment.
- Opportunities for professional growth and development.
- A chance to work with a cutting-edge technology stack.
- A collaborative and innovative team culture.