Sr. Data Engineer

Sr. Data Engineer

Long-Term Contract

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.

Familiar with best practices for data ingestion and data design.

Self-motivated, work independently, and have direct experience with all aspects of the software development lifecycle, from design to deployment.

Deep understanding of the full life data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting.

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.

Demonstrate ability to lead and take ownership of assigned technical projects in a fast-paced environment.

Excellent written and spoken communication skills are required as we work in a collaborative cross-functional environment and interact with the full spectrum of business divisions. You demonstrate unsatiated curiosity and outstanding interpersonal "soft" skills. Ideal candidates have more than just knowledge or skill set, as they also have a "can do" mindset to find solutions.

Demonstrate the ability to serve as a liaison with business users and walk with them through their problems to identify the best path forward. You are also expected to 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 needs. Responsibilities:

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.

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.

"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran."