The Senior Data Engineer will play a leading role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.
You ll leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient.
You will collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business leaders.
You will architect, design, implement, and operate data engineering solutions, using Agile methodology, that empower users to make informed business decisions.
Requirements & Skills:
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 of development experience building and maintaining ETL pipelines, and 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 recommending adherence to best practices
Deep understanding of writing test cases to ensure data quality, reliability, and a 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 defining a path to deployment
Familiar with best practices for data ingestion and data design.
