Senior Data Engineer
3 weeks ago
The Senior Data Engineer will play a pivotal role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide actionable insights and analytics for business stakeholders.
You will leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient. Collaboration with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business leaders is essential.
You will architect, design, implement, and operate data engineering solutions, using Agile methodology, that empower users to make informed business decisions.
Candidate Profile
You are a self-motivated individual with the ability to work independently. Direct experience with all aspects of the software development lifecycle, from design to deployment, is required.
A deep understanding of the full data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting is essential.
Strong candidates will exhibit solid critical thinking skills, the ability to synthesize complex problems, and a talent for transforming data to create solutions that add value to a myriad of business requirements.
Key Responsibilities
- Database Management, ETL Development, and Cloud Integration and Management
- Proficiency in Teradata architecture and components, Teradata SQL, and Teradata utilities
- Strong SQL skills for querying and managing relational databases
- Scripting experience for automating tasks
- Knowledge of query optimization techniques, indexing, partitioning, and workload management in Teradata
- Proficiency with core AWS services: EC2, S3, RDS, Lambda, CloudWatch, CloudFormation, etc.
Preferred Qualifications
- Bachelor of Science degree in Computer Science or equivalent
- Vantage Master 2.0 certifications / Vantage Data Science Master certifications
- At least 7 years of post-degree professional experience
- At least 5+ years of Airline industry experience
- 4+ years development experience building and maintaining ETL pipelines
- 3+ years of experience working with database technologies and data development such as Python, PLSQL, etc.
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