Job Location: Atlanta, GA
United States, Georgia, Atlanta
Enterprise Digital Strategy
11-Nov-2022
Ref #: 18334
How you’ll help us Keep Climbing (overview & key responsibilities)
Do you enjoy translating data into practical insights? Are you excited by the opportunity to help build new, personalized experiences at the world’s best airline? Do you have a passion for crafting data, developing data models, federating data from a variety of data sources, and helping leaders make data-driven decisions?
Deltas Customer Data team is seeking a Data Engineering Analytics Leader to be responsible for developing data-driven solutions sought at continually improving airline performance and decision making and help leaders derive insights that drive business decisions. The leader will have a deep understanding of BI systems, architecture and cloud landscapes, efficient ETL processing, and both relational and NoSQL data design.
The successful candidate will combine strong intuition for business, technical skills, and knowledge of the complexities of the customer journey to help drive decisions throughout the organization.
This position will be located at our corporate headquarters in Atlanta, GA.
Daily tasks:
Build data engineering pipelines for customer data that support analysis, new application development, statistical modeling, and traditional reporting and analytics
Work closely with IT to find opportunities to improve the current data environment to drive efficiencies and future scalability in both traditional EDW environments as well as AWS cloud environments
Prototype new core, foundational data sources and help build cases to facilitate IT-productization of those data sources
Leverage emerging technologies and identify efficient and significant ways to disseminate data and analysis to satisfy the business needs
Mentor junior members in technical proficiency around data, data engineering, and discernment
Optimize processes to create data for Deltas new personalized experiences that drive routine (weekly, monthly, etc.) performance reports as those experiences mature
Partner with IT to create enterprise-wide, customer and experience-centric data sets; act as the owner and domain expert of these new data sources
What you need to succeed (minimum qualifications)
- Bachelor’s degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience
Master’s degree and/or 2+ years shown experience in data analytics, data science, or a related field strongly preferred.
Proficient experience with data querying/modeling with SQL (CTE, window functions, temporal data) and understanding of how data are used within visualization tools (e.g., Tableau, Excel, Python)
Proficiency in Python
Experienced in cloud infrastructure design and deployments, preferably AWS
Experienced in API consumption
Must possess business insight, analytical, oral and written communication skills.
Candidate should be known for integrity, intelligence and professional maturity
Ability to take care of ambiguity in a fast-paced environment in a creative and innovation fashion
Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered for U.S.-based job, if not currently employed by Delta Air Lines, Inc.
Demonstrates that privacy is a priority when handling personal data.
Embraces a diverse set of people, thinking and styles.
Consistently makes safety and security, of self and others, the priority.
What will give you a competitive edge (preferred qualifications)
- At least 4+ as a data engineer/scientist or related data-manipulation specialty with validated experience processing and creating insights from large data sets
Shown understanding of data modeling, data manipulation, and creating enterprise-wide data sets leverage technical solutions with tools like Spark, NoSQL, DynamoDB, etc.
Hands on experience creating API’s.
Experience in multiple architectural patterns: Microservices, REST / GraphQL, containerization, cloud native
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