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Senior Data Engineer
1 month ago
Every year, nearly 200 million travelers trust our client to get them where they're going. Take your career to new heights by working for this longstanding leader in air travel that services more worldwide destinations than any other airline.
We are looking for a Senior Data Engineer to join our team for a 12 month contract in Atlanta, GA.
Contract Duration: 12 Months
Required Skills & Experience
- Bachelor of Science degree in Computer Science or equivalent
- 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.
- Experience in mentoring junior team members through code reviews and recommend adherence to best practices
- Deep understanding of writing test cases to ensure data quality, reliability and high level of confidence
- Track record of advancing new technologies to improve data quality and reliability
- Continuously improve quality, efficiency, and scalability of data pipelines
- Expert skills working with queries/applications, including performance tuning, utilizing indexes, and materialized views to improve query performance
- Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.)
- Develop initial queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment
- Familiar with best practices for data ingestion and data design
What You Will Be Doing- Responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.
- Leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient.
- Collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business leaders.
- Architect, design, implement and operate data engineering solutions, using Agile methodology, that empower users to make informed business decisions.
- Deep understanding of the full life data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting.
- Serve as a liaison with business users and walk with them through their problems to identify the best path forward.
- Provide technical counsel to other Data Engineers on the team and may be requested to review and guide their work to ensure all the work comes together successfully to meet the business need.
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