Job SummaryWe are seeking a highly motivated and experienced Data Engineer to join our dynamic and growing Data Platforms & Solutions team. As a Data Engineer within our dynamic pricing product team, you will play a crucial role in supplying data for production machine-learning models. Working alongside data scientists, data analysts, and software developers, you will ensure the efficient and accurate handling of data pipelines, facilitate the implementation of data models, and contribute to the overall enhancement of our pricing strategies. Your key responsibilities will include:
Job Responsibilities: - Design, develop, and maintain scalable data pipelines to support dynamic pricing models.
- Collaborate with data scientists to prepare data for model training, validation, and deployment.
- Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability.
- Monitor and troubleshoot data workflows to ensure continuous and reliable data integration.
- Work with the software development team to integrate data engineering solutions into the broader product architecture.
- Ensure data governance and compliance with relevant data privacy and security regulations.
- Engage with stakeholders to understand data requirements and translate these into technical specifications.
- Document data engineering processes and contribute to best practices.
Job Requirements: - Bachelor's (from a four-year college or university) or Master's degree in Computer Science, Computer Engineering, or a related field.
- 4+ years of related experience in data warehousing, data pipelining and other big data technologies. Strong knowledge and/or experience in building a DataLakeHouse is a plus.
- Strong proficiency in SQL and experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
- Experience with cloud platforms (e.g., Azure, AWS, GCP), with a preference for Azure.
- Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
- Strong problem-solving skills and the ability to work independently and collaboratively in a team environment.
- A proactive approach.
- Excellent problem-solving and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work in a fast-paced and dynamic environment.
- Ability to switch gears quickly and cope with change.
- Proven experience in designing and implementing data engineering solutions, with a strong focus on data models and data architecture, ideally in the travel and leisure industry.
- Azure Databricks (ML Flow, model serving)
- Synapse Analytics & Pipelines
- Strong skills in Python/Spark SQL
- Experience with PowerBI
- Experiance with real time data pipelines (kafka, event hubs, spark streaming) is a plus
What We Offer You: - Highly competitive compensation plan.
- Salary range $135,000 - $150,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, and other relevant business considerations.
- Employees are eligible for annual discretionary bonus.
- 401(k) plan with company match.
- Employee Share Purchase Plan (ESPP) Viking full-time regular employees working in the United States can purchase Viking shares through payroll deductions.
- Full benefits including medical, dental, vision, life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking).
- Accrue 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year.
- Opportunity to take a free and/or discounted cruise.
- Highly subsidized gym membership.
- Discounts on theatres, theme parks, movie tickets, travel discounts through IATA membership and too many more discounts to name.
