
Data Engineer
Travel + Leisure Co.
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Partner with business teams to implement analytical and data solutions that drive business value and customer satisfaction
- Responsible for collecting, storing, processing, analyzing, and modeling large sets of data
- Build applications and solutions using data
- Maintain and monitor analytics data warehouses and data platform
- Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines
- Integrate new sources of data into the central data warehouse
- Move data out to applications and affiliates
- Hands-on development, deployment, maintenance, and support of a variety of Cloud and on-premise Solutions
- Work closely with project managers, business analysts, data scientists and other groups in the organization to understand and translate functional requirements and processes into technical specifications
- Collaborate with key stakeholders to ensure data infrastructure meets business needs in a scalable way
- Keep a critical eye on technical strategy, identify gaps, and develop creative solutions
Requirements
- Bachelor’s degree in computer and information science required
- Master’s degree preferred
- Snowflake and Python certification preferred but not required
- Excellent listening, interpersonal, communication (written & verbal) and problem-solving skills
- Ability to collect and compile relevant data
- Extremely organized with great attention to detail
- Excellent ability to analyze information and think systematically
- Strong business analysis skills
- A strong team player with some ability to work independently
- Good understanding of the company’s business processes and the industry at large
- Good working SQL knowledge and experience working with relational databases
- Experience building and optimizing data pipelines and data sets leveraging various scripting languages or ETL tools
- Ability to perform root cause analysis on internal and external data processes to answer specific business questions and identify opportunities for improvement
- Good analytic skills related to working with unstructured datasets
- Ability to build and use APIs to push and pull data from various data systems and platforms
- Build processes supporting data extraction, transformation, and loading of data into data structures
- A successful history of manipulating, processing and extracting value from large, disconnected datasets
- Ability to build data models and manage data warehouses
- 3 years of related data engineering/IT experience
- 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python and AWS architecture
- 1+ years of proven experience in Microsoft .Net technologies such as C#, VB.Net and experience in designing, developing and deploying Windows & Web applications
- 2+ years of experience in data modeling/database development using PL/SQL and SQL Server 2016 or later and Snowflake
- 1+ years of proven experience building data pipelines and ETL flows in Cloud and on-premise environments using Snowpipe, Informatica, Airflow, Kafka etc.
Benefits
- Medical
- Dental
- Vision
- Flexible spending accounts
- Life and accident coverage
- Disability
- Depending on position, paid time off, parental leave and holidays
- Wish day paid time to volunteer at an approved organization of your choice
- 401k with employer match
- Legal and identify theft plan
- Voluntary income protection benefits
- Wellness program
- Employee Assistance Program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata modelingETLSQLPythonApache SparkHadoopJavaScalaPL/SQL
Soft Skills
communicationproblem-solvingorganizational skillsattention to detailanalytical skillsteam playerindependent worklistening skillsbusiness analysissystematic thinking
Certifications
Bachelor's degree in computer and information scienceMaster's degreeSnowflake certificationPython certification