Data Engineer with teradata
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Job Description
We're looking for a Senior Data Engineer to join the Enterprise Data Services team, transforming data from various sources to deliver actionable insights for business stakeholders. You'll use cloud-based infrastructure to build solutions that are scalable, reliable, and efficient. This role involves working closely with Data Engineers, Analysts, DBAs, cross-functional teams, and business leaders to design, implement, and manage data engineering solutions using Agile practices that empower better business decisions.
We need someone who is self-motivated, independent, and experienced with all phases of the software development lifecycle, from design through deployment. A strong understanding of data lifecycles is essential, especially how quality data supports business analytics, reporting, and machine learning. If you have a passion for solving complex problems and turning data into impactful solutions, this could be the role for you.
We value someone who thrives in fast-paced environments and can take ownership of technical projects. Clear communication skills are essential, as you'll work with a wide range of business and technical stakeholders. The ideal candidate will also bring a can-do attitude and the ability to mentor other engineers when needed.
- Bachelor's degree in Computer Science or equivalent
- Vantage Master 2.0 / Data Science Master certifications
- 7+ years of professional experience post-degree
- 5+ years in the airline industry
- 4+ years building and maintaining ETL pipelines
- 3+ years with database technologies (e.g., Python, PLSQL)
- Experience mentoring junior engineers through code reviews
- Strong background in test case development to ensure data quality and reliability
- Track record of adopting new technologies to improve pipelines
- Proficient in query optimization, indexing, and performance tuning
- Experience identifying business rules and risks associated with data sources
- Database Management & ETL Development Experience with Teradata Utilities (e.g., BTEQ, FastLoad, MultiLoad, TPT)
- Data Modeling & Performance Tuning Expertise in query optimization and indexing
- Data Security & Governance Ensure data meets security and compliance standards
- Cloud Integration & Infrastructure Hands-on with AWS services like EC2, S3, RDS, Lambda, CloudWatch
- Automation & DevOps Automate tasks and workflows using AWS Lambda, Step Functions, Glue
- Advanced Teradata Expertise In-depth knowledge of Teradata architecture (AMPs, Nodes, Parsing Engines)
- Scripting Skills Experience with Shell, Python for automation
- Familiar with AWS storage solutions (e.g., S3, Glacier) and integration with Redshift
- Hands-on with AWS CloudFormation, Terraform, or similar tools for infrastructure automation