Senior Developer [T500-20038]

About Delta :

Delta Air Lines (NYSE : DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

Why join?

Technology is a key enabler of the differentiated services that Delta provides. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience.

Deepen your knowledge by taking part in multifaceted learning and development programs –exposure to extensive internal and partner repositories, institutional affiliations, and industry SIG (Special Interest Groups) partnerships.

Collaborate with research, innovation and IP co-development partners.

Immerse yourself in an employee-centric culture.

Develop deep and broad business acumen on airline operations while retaining focus on cutting-edge technology driven solutions.

Avail a full range of benefits that support you and your family : Insurance, Commute, Meals, Retirement, and Special Travel opportunities.

Avail a full range of benefits that support you and your family : Insurance, Commute, Meals and special travel opportunities.

KEY RESPONSIBILITIES :

Design, architect, and optimize Teradata EDW solutions with a focus on performance, scalability, and maintainability.

Lead performance tuning efforts using TASM and other workload management tools.

Design and implement data pipelines using AWS services such as S3, Glue, Lambda, and SageMaker.

Manage Teradata AI Unlimited (Teradata On-Demand) deployments in AWS, ensuring secure and efficient cloud infrastructure.

Integrate and optimize SAS workflows with EDW and other data sources.

Develop and maintain Tableau dashboards for business insights and reporting.

Create and optimize data workflows using Python and PySpark..

Serve as a trusted advisor and mentor, offering technical guidance and fostering a collaborative team environment.

Drive application design and optimization in AWS, ensuring alignment with enterprise architecture.

Lead high-impact initiatives with accountability for quality, timelines, and stakeholder engagement.

Communicate effectively across geographies and functions to build trust and alignment.

WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS) :

3+ years of experience in data design-Must and engineering, with a strong focus on Teradata EDW.-good

Proven expertise in Teradata performance tuning, TASM, and workload management good

Hands-on experience with AWS services : S3, Glue, Lambda, CloudFormation, and SageMaker.

Strong understanding of Teradata On-Demand in AWS environments. -good

Experience with SAS scripting and integration with EDW systems. -Must

Proficiency in Python, PySpark, and data pipeline development. -good

Knowledge of Tableau for data visualization and reporting. -Must

Excellent communication and leadership skills, with a track record of mentoring and team collaboration.

WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS) :

Bachelor of Science degree in Computer Science or equivalent

3 to 6 years of hands-on experience in data engineering, data warehousing, and cloud-based analytics solutions.

Teradata : Strong expertise in EDW design, performance tuning, and workload management (TASM).

AWS : Practical experience with S3, Glue, Lambda, and cloud infrastructure management.

Python : Proficient in scripting, automation, and data processing.

ETL : Deep understanding of ETL concepts, tools, and pipeline orchestration.

SQL : Advanced SQL skills for data extraction, transformation, and optimization.

Data Warehousing : Solid foundation in DWH concepts, architecture, and implementation.

SAS : Experience in scripting and integrating SAS applications with EDW systems.

Tableau : Skilled in building interactive dashboards and delivering business insights.