Senior Data Engineer

April 9

Evolve

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We make vacation rental easy for everyone. For owners, for guests, for you.

Vacation Rental Marketing & Booking • Traveler Support & Reservations • Vacation Rental Management • Hospitality

1001 - 5000

Description

• Collaborate with business stakeholders, data analysts, and architects to build a solid data foundation • Mentor teammates and apply best practices for turning data into information • Translate complex business logic into technical solutions • Design, support, and optimize data pipelines using various tools and technologies • Implement data structures in Snowflake for data ingestion and integration • Transform data using SQL, Python, Snowflake scripting, and data transformation tools • Automate monitoring and alerting on source data quality and processes • Gain a deep understanding of data and relevant business processes • Develop, research, and recommend tools and methods for data ecosystem • Lead in defining quality standards and provide advanced pipeline support • Prioritize tasks efficiently and communicate progress effectively

Requirements

• 8+ years in developer, architect, engineer, or DBA role with large data sets • Subject matter expert in data ingestion concepts and best practices • Expert in data pipeline design, development, and automation • Skilled in working with DevOps teams to optimize CI/CD pipelines • Advanced SQL skills required • Experience coding with Python required • Preferred experience with Snowflake, Fivetran, dbt, Tableau, and AWS • Familiar with Git version control and repository management • Proficient in ELT tool administration and enterprise ETL/ELT tools • Expertise in cloud-based data warehouses, data extraction from APIs, and explaining complex information • Strong organizational skills and ability to manage multiple priorities • Enjoy sharing technical knowledge and working in a connected environment • Documentation experience and comfort in fast-paced, energetic environment

Benefits

• Join an inclusive culture • Work in a rapidly-growing segment in travel • Key role in establishing data pipeline best practices • Ability to innovate and make data-informed decisions • Opportunity to mentor and collaborate with teammates • Play a critical part in building and optimizing data pipelines • Support reporting, analytics, business operations, and data science teams • Ensure the quality and trustworthiness of data sources • Opportunity to manage and optimize cloud data platform and infrastructure • Lead in defining quality standards and documenting best practices • Support scalable solutions for new data sources