About the role

Aplyr's Quick Take

This role is for a Data Engineer focused on building and maintaining data pipelines and infrastructure for a Search API. You'll be hands-on with ETL processes, ensuring data quality and performance while collaborating with engineering and devops teams. It's primarily an individual contributor role.

Good fit

Ideal candidates have 3+ years of experience in data engineering, are proficient in Python and SQL, and have a solid understanding of data infrastructure. A collaborative mindset and experience with AWS and data services will help you thrive here.

Worth noting

The role emphasizes building scalable data systems specifically for a Search API, which may appeal to those interested in search technology. The spec mentions a preference for experience with big data technologies and containerization, which could be a plus for candidates with that background.

About Tavily - Search API

Tavily is a cutting-edge company focused on providing a powerful and efficient Search API. We empower developers and businesses by delivering high-quality, relevant search results quickly and reliably. Join our team to help build the data infrastructure that supports and scales our core product.

The Role

We are seeking a highly motivated and experienced Data Engineer to join our growing team. You will be responsible for designing, constructing, installing, testing, and maintaining highly scalable data management systems. You will work closely with our engineering and devops teams to build and optimize the data pipelines that are crucial to the performance and accuracy of our Search API.

Responsibilities

Design, build, and maintain efficient and reliable ETL/ELT pipelines for data warehousing.
Develop and improve our data infrastructure.
Ensure data quality, integrity, and security across all data platforms.
Optimize data systems for performance and scalability.
Troubleshoot and resolve issues related to data pipelines and data infrastructure.
Collaborate with cross-functional teams to understand data needs and deliver solutions.

Minimum Qualifications

A degree in Computer Science, Statistics, Engineering, or a related quantitative field.
3+ years of professional experience as a Data Engineer or in a similar role focused on data infrastructure.
Proficiency in Python.
Solid experience with relational databases (SQL) and NoSQL databases.
Experience with AWS and their data services.
Proven experience in building and optimizing data pipelines and data architectures.

Preferred Qualifications

Experience with Mongo/Snowflake/Redis/S3 General/S3 Express.

Experience with big data technologies
Experience with Airflow.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Experience working in a company focused on API services or search technology.
Knowledge of data governance and data security best practices.

Skills & Tags

python go aws kubernetes docker ai devops data

Aplyr's read

Tavily is a dynamic travel tech firm innovating travel experiences, attracting tech-savvy professionals keen on transforming the industry.
Synthesized from recent postings & public sources

What's promising

•Tavily is at the forefront of travel tech innovation, offering unique solutions.
•The company hires across diverse roles, suggesting robust growth and expansion.
•Tavily's emphasis on AI and data analytics shows a commitment to cutting-edge technology.

What to watch

•The travel tech industry can be volatile, impacting Tavily's stability.
•Limited public information about Tavily's financial health and long-term viability.
•Potential for high competition in the travel tech sector may affect Tavily's market position.

Why Tavily

•Tavily focuses specifically on enhancing travel experiences through technology.
•The company integrates AI and data science into travel solutions, setting it apart.
•Tavily's diverse role offerings indicate a comprehensive approach to innovation.

Aplyr’s read is generated by AI from public sources. Was it useful?