About Delta Tech Hub:
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.
Responsibilities:
Data Integration and Harmonization:
- Aggregate and normalize HR data from multiple platforms
- Implement data transformation and enrichment processes to support analytics and reporting needs.
Data Quality and Monitoring:
- Develop and implement data validation and monitoring frameworks to ensure data accuracy and consistency.
- Troubleshoot and resolve issues related to data quality, latency, or performance.
Collaboration with Stakeholders:
- Partner with teams, analysts, and data scientists to understand data requirements and translate them into technical solutions.
- Provide technical support and guidance on data-related issues or projects.
Tooling and Automation:
- Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
- Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
Continuous Learning and Innovation:
- Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
- Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
What you need to succeed (minimum qualifications):
- Bachelor’s or master’s in data science, Business Analytics, Information Science, Computer Science, Statistics, or a related field.
- 2+ yrs of Experience as Data Analyst with experience in Python (NumPy & Pandas) including (Matplotlib / Seaborn) & EDA & SQL & Scikit learn library.
- Experience with AWS DB - (S3 Bucket or Redshift) is required.
- Basic understanding of ETL / Glue data pipelines.
Behavioral Competencies:
- Ability to work in collaborative environments and embrace diverse perspectives.
- Communicate clearly and concisely, express thoughts and ideas effectively, and embrace cultural differences with respect when engaging with others.
- Ability to engage effectively with peers and stakeholders to build strong partnerships.
- Prioritize, maintain focus, and consistently deliver commitment.
- Proactively understand customer expectations and willingness to create customer-based solutions.
What will give you a competitive edge (preferred qualifications):
- Hands on Experience with Dashboarding e.g, Quick sight.
- Desired experience working with HR Data.
- Experience working with Glue/Lambda to develop data pipelines.
- Experience working with DBT.
