Quals--
Business Unit: ITS/Enterprise Data Services Department: 874 Location: ATL/Admin Finance & HR Contacts: Seun Adegbemle / Nikki Glee Number of approved openings: 1 Job Title & Code: Data Engineer / NEW ROLE Job Description: The Opportunity The Data Engineer will play a key role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. Youll 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. Candidate You are self-motivated, work independently, and have direct experience with all aspects of the software development lifecycle, from design to deployment. You have a deep understanding of the full life data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. Strong candidates will 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. You have the demonstrated ability to lead and take ownership of assigned technical projects in a fast-paced environment. Excellent written and speaking 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. Qualifications Bachelor of Science degree in Computer Science or equivalent At least 3+ years of post-degree professional experience Desired Airline industry experience Desired development experience building and maintaining ETL pipelines Desired experience working with database technologies and data development such as Python, PLSQL, etc. Solid 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 Knowledge of 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.
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. NLB is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR department by sending an e-mail to notifications@nlbservices.com.