Sr. Data Engineer

*Sr.

Data Engineer #37882 * Atlanta, GA Top 5 Skillsets: * * Very Proficient in Teradata SQL Excel Proficient Python Experience with NodeJs Experience with CloudWatch insights/metrics Strong mathematical and statistical skills Additional Notes Experience with NodeJs Experience with CloudWatch insights/metrics Strong mathematical and statistical skills Analytical skills to gather, view and analyze information Numerical skills to measure and statistically analyze data Technical skills, including software and scripting languages, to organize and present data Using the above skills should have ability to review data and to determine how to solve problems using that data, and to learn critical insights about customers.

Ability to communicate this information with key stakeholders, including company leadership.

*Qualifications: * 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 []{style="font-siz "}