Data Engineer Specialist
Há 4 dias
Company Overview: Hostelworld Group is a global online booking platform that inspires adventurous minds to meet the world and come back with life-changing stories to tell.
About Us: We have more than 13 million reviews across 17,800 hostels in over 179 countries, making us the leading online hub for social travel. Our website operates in 19 languages, and our mobile app supports 13 languages.
Job Description: As a Cloud Native Data Solutions Developer, you will play a key role in managing cloud-native data engineering systems to ensure timely, accurate, and secure production and delivery of data from the Hostelworld platform. You will work closely with technology groups and business owners to refine quality standards and processes for Data processing design, pipeline design, development, and deployment.
What You'll Do: You will develop a wide range of technical skills in managing our data, including designing ETL frameworks and standards for specific ETL programmes and projects, working with modern and legacy data sources. You will also select and implement the most effective best practice tools and delivery processes to ensure data quality standards are maintained effectively.
Required Skills and Qualifications: A minimum of 3 years of experience in Data Engineering is required, preferably in Google Cloud SQL (BigQuery, Snowflake, MariaDB). Essential skills include competency in Python, while desirable skills include MongoDB, Apache Airflow, Linux shell scripting, Docker Containers, DBT, and Talend ETL.
Benefits: We offer a competitive salary of $120,000 per year, enhanced annual leave, paid family leave, agile working, and support for your ongoing growth and development. You will also have the opportunity to give back to your local community with 5 paid volunteering days.
Our Behaviours: At Hostelworld Group, we value teamwork, expertise, and innovation. We believe in growing others, mastering our area of expertise, collaborating with diverse teams, adapting to new information, and delivering high-quality results. If you share these values and are passionate about data engineering, we encourage you to apply for this exciting opportunity.
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