Job overview and responsibilities
Our Digital Operations Center is constantly working to enhance the experience of our customers across our Digital Channels, based on data-driven analytics and timely and accurate reports. We are seeking a Senior Developer with deep expertise in building and maintaining cloud-native data platforms and pipelines using AWS and modern development practices. The ideal candidate is a hands-on engineer with experience in serverless compute, streaming data architectures, and DevOps automation, who thrives in a collaborative, fast-paced environment. This role will be instrumental in designing high-performance, scalable systems leveraging AWS services and the Well-Architected Framework.
• Design, build, and maintain scalable and efficient ETL/ELT pipelines using tools such as AWS Fargate, S3, Kinesis, and Flink or custom scripts.
• Integrate data from various sources including APIs, cloud services, databases, and flat files into a centralized data warehouse (e.g., Postgres, BigQuery, Redshift).
• Design and optimize SQL database schemas and queries, primarily on Amazon Aurora (MySQL/PostgreSQL), ensuring high performance and data integrity across workloads.
• Monitor, troubleshoot, and resolve data pipeline and infrastructure issues.
• Build CI/CD pipelines using GitHub Actions, driving automation in deployment and testing.
• Apply best practices for monitoring, alerting, cost optimization, and security — in line with AWS’s Well-Architected Framework.
• Collaborate with cross-functional teams including product, analytics, and DevOps to design end-to-end solutions.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.
Required
· Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Management Information Systems or related field.
· 2–5 years of experience in data engineering or a similar role.
· Strong SQL skills and experience working with relational databases (e.g., PostgreSQL, MySQL).
· Experience with cloud platforms like AWS, GCP, or Azure (e.g., Fargate, S3, Lambda, Aurora, Redis)
· Familiarity with data modeling and building data warehouses/lakes.
· Experience designing real-time or near-real-time data streaming pipelines.
· Proficiency in programming languages like Python or Scala.
· CI/CD knowledge, particularly using GitHub Actions or similar tools.
· Solid understanding of performance tuning, cost-effective cloud resource management, and data architecture principles.
· Understanding of data governance, quality, and security best practices.
· Must be legally authorized to work in India for any employer without sponsorship
Qualifications
Preferred
· MBA preferred
· Data Engineer :- AWS certifications (e.g., Developer Associate, Solutions Architect).
· Knowledge of modern data stack tools like dbt, Fivetran, Snowflake, or Looker.
· Exposure to containerization and orchestration tools (e.g., Docker, Kubernetes).
· Experience with data lake architectures or hybrid transactional/analytical processing systems.
· Familiarity with Agile development practices and cloud-native observability tools.
· Experience working with Quantum Metric and/or Dynatrace a plus