United States, Georgia, Atlanta

Global Health and Wellbeing

20-May-2024

Ref #: 24786

How you'll help us Keep Climbing (overview & key responsibilities)

The Data Engineer position plays a critical role in designing, developing, and maintaining complex data pipelines and analytics solutions. This position will ork closely with business unit leaders, data scientists, and other stakeholders to deliver timely and accurate business insights to other departments. They will become the subject matter expert in Delta Wellness data, AWS, and Tableau, and lead requirements meetings and provide solutions to stakeholders. The Data Engineer will solve highly ambiguous data issues, and provide mentorship to other data engineers.

How you’ll help us Keep Climbing (overview & key responsibilities):

Design, create and maintain complex data process using AWS Glue, Python, and SQL.Gather requirements, develop, test and maintain dashboards in Tableau and AWS QuickSightValidate data to ensure accuracy and consistency in the GHW datawarehouse and create documentation for data pipelines, processes, and systems.Lead and coach other less senior team members.Interface with business unit leaders to understand requirements and maintain strong internal and external customer relationships.Utilize statistical and data science approaches to deliver insights and reporting for physical health, mental wellbeing, and other wellness operations across Delta Air Lines footprint.Provide recommended enhancements to existing processes and systems. What you need to succeed (minimum qualifications)

Bachelor’s degree in Computer Science, Data Science, or a related field.Minimum of 5 years of relevant work experience in data engineering, ETL, or related rolesType of Experience:Hands-on experience designing, building, and maintaining data pipelines with AWS.Proficiency in ETL processes, data transformation, and data integration.Familiarity with relational databases (SQL)Data Visualization: Exposure to creating dashboards using tools like Tableau or QuickSight.Leadership and Mentoring: Prior experience leading a team or mentoring junior engineers.Proficiency in designing, developing, and maintaining data pipelines.Strong understanding of ETL (Extract, Transform, Load) processes.Experience with AWS cloud platformExperience with tools like AWS Glue, Lambda, or similar.Strong programming skills in Python for data manipulation, scripting, and automation.Expert with SQL for querying and data transformation.Implementing data quality checks and monitoring.Knowledge of relational databases (e.g., PostgreSQL, Redshift, Teradata)Ability to design efficient data models (e.g., star schema, snowflake schema).Proficiency in creating dashboards using tools like Tableau and Amazon QuickSight.Understanding of data visualization best practices.Proficient in Tableau or visualization toolsAbility to validate data for accuracy, consistency, and completeness.Collaborating effectively in an agile environment.Solving complex data engineering challenges.Analyzing data-related issues and proposing solutions.Experience with mentoring junior engineers, and providing technical guidance.Ability to drive projects and initiatives.Creating clear and concise documentation for data pipelines, processes, and architectural decisions.Identifying areas for process improvement and suggesting enhancementsStrong written, oral communication and interpersonal skillsStrong organizational and prioritization skillsMust be able to interact and collaborate at all levels within Delta and across groupsConsistently prioritizes safety and security of self, others, and personal data.Embraces diverse people, thinking, and styles.Is at least 18 years of age and has authorization to work in the United States. What will give you a competitive edge (preferred qualifications) Advanced degree  < Go back