Sr. Data Engineer

Los Angeles, California, United States

Applications have closed

Viking Cruises

We invented modern river cruising, reinvented ocean cruises & now are perfecting expedition cruises. Explore the world in comfort with Viking®.

View company page

Location: Los Angeles,California,United States

Viking is one of the world’s leading cruise line company that manages a fleet of 80 river ships and 7 ocean ships (and growing) with offices across the globe. We have our Marketing and Sales headquarters based in Woodland Hills, California.

Viking’s growing team is seeking talented people to build a company that helps our guests find and enjoy the world's premier travel experiences while exploring the world in comfort. If you're the kind of person who obsesses over details, thrives in a collaborative environment, and jumps at the opportunity to take on new challenges, Viking may be the place for you.

Our Woodland Hills office is seeking a Sr. Data Engineer, Data Platforms & Solutions

This hands-on, analytical role calls for an entrepreneurially minded data engineer with demonstrable experience in architecting a data lake, data integration, data modelling, maintaining a data warehouse or data lake house and/or an analytics environment. This role is part of Viking’s global Data Platforms & Solutions team and will need to work closely with Viking’s business teams to define requirements, mine and analyze data, integrate data from various sources and ensure high quality of data as per the needs of the business.

An interest in the data landscape and emerging platforms is essential, as the team’s responsibilities and workflow are constantly evolving. Beyond rock solid data skills, a fundamental care and understanding of the importance of data to business is essential.

Responsibilities:
  • Play an active role in the design of Viking’s Global Data Estate architecture
  • Develop, customize, deploy and manage our Data Lake House environment
  • Produce scalable automation scripts to create a configurable framework that help automate data processing
  • Test and QA of new changes and enhancements developed across the team
  • Monitor and maintain the overall performance and stability of the data solutions
  • Solve complex issue and business challenges with minimal supervision
  • Maintain and evolve data quality and ensure compliance standards (including data privacy) are met within the Data Estate
  • Assist in creating and designing of reports to be consumed by the rest of the organization
  • Mentor and train colleagues where necessary assisting them to learn and improve their skills, as well as innovate and share best practices
Qualifications:
  • Bachelor's degree from four-year college or university and four years related experience
  • Strong command of SQL along with experience in using Python or similar languages for data engineering
  • Excellent understanding of dimensional data modeling and schema design for Enterprise Data Warehouses and/or Data Lake solutions, including experience in ELT/ETL cycle and in building and maintaining large scale, low latency data-marts
  • Solid experience in Microsoft Azure tools such as ADLS Gen 2, Azure Databricks, Synapse Analytics, and/or other big data technologies (especially in Azure)
  • Experience with PowerBI data visualization tools is a plus (PowerBI)
  • Experience in working with Parquet / JSON / XML formats and use of APIs to push and pull data from various data sources
  • Excellent analytical/problem solving skills with a good detail oriented approach
  • Ability to switch gears quickly and cope with change
  • Knowledge of Git (Github, Bitbucket, or similar) and DevOps (repos, pipelines, testing) is desired
  • Experience or exposure to Customer Data Platforms is a big plus
  • Bonus points if you have experience with Spark, Kafka, AdobeAnalytics, GCS, BigQuery, Tableau, DynamoDB, MongoDB, Redis, Kafka/Kinesis, Node.js, predictive modeling, machine learning, statistical programming (R, SAS), marketing or the travel industry experience
  • Cruise or hotel/hospitality industry knowledge/experience is a plus, but not necessary
  • You like to work in a team and enjoy learning about new technologies
  • Good knowledge and experience in dealing with cloud networking and security is a plus
 Compensation & Benefits
  • Excellent Medical/Dental/Vision benefits
  • 401k with company annual match
  • Transportation reimbursement
  • Paid training
  • Paid vacation
  • Paid holidays
  • Travel and cruise rewards  
  • Discounted theater, theme park and movie tickets
  • Employee wellness program
  • Gym membership
About Viking Cruises

Viking was established in 1997 with the purchase of four ships in Russia and is now the leader in river and small ship ocean cruising. Designed for discerning travelers with interests in science, history, culture and cuisine, Chairman Torstein Hagen often says Viking offers guests “The Thinking Person’s Cruise®” as an alternative to mainstream cruises. Viking currently operates a fleet of more than 70 state-of-the-art river ships and an innovative ocean fleet offering destination-focused scenic cruising on rivers and oceans around the world. Viking has plans to grow its fleet of 930-guest ocean cruise ships to become the largest small ship ocean cruise line.

Among its industry accolades, Viking was rated the #1 ocean cruise line in Travel + Leisure’s World’s Best Awards in 2016, 2017 and 2018 and was also voted the #1 River Cruise Line by Condé Nast Traveler in their 2018 Readers’ Choice Awards.  Additionally, Viking received 11 first place awards in the 9th annual Cruise Critic 2019 Cruisers’ Choice Awards, including “Best Overall” Small Mid-Size Ocean Ship and “Best River Cruise Line.” The Cruisers’ Choice Awards name the best cruise ships in the world, based solely on ratings submitted with member reviews published on the Cruise Critic website. For additional information, visit www.vikingcruises.com.

Apply to this job

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Architecture Azure Big Data BigQuery Bitbucket Databricks Data quality Data visualization Data warehouse DevOps DynamoDB ELT Engineering ETL Git GitHub JSON Kafka Kinesis Machine Learning MongoDB Node.js Parquet Pipelines Power BI Predictive modeling Privacy Python R SAS Security Spark SQL Statistics Tableau Testing XML

Perks/benefits: 401(k) matching Career development Fitness / gym Health care Salary bonus Wellness

Region: North America
Country: United States
Job stats:  10  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.