Required Skills

Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 25th Jul 2025

JOB DETAIL

• 5 or more years of hands-on experience as a Data Analyst or related technical engineering capacity. Relevant technologies and programming languages include JAVA, Spring Boot, Python, IBM MQ, Oracle Database table design, queries and optimization.
• Expertise in Database Design, Dimensional Modeling, and Data Warehousing.
• Hands-on experience with Erwin Data Modeling Tool and metadata management.
• 2 or more years of proven experience in working with Data Lake and Teradata.
• Proficiency in SQL for database querying, table creation, and data relationship management.
• Experience engineering software within an Amazon Web Services (AWS) cloud infrastructure or other prominent enterprise cloud provider.
• Demonstrable experience with DevOps principles, practices and tools.
• Understanding of the full Software Development Lifecycle, building CI/CD pipelines and practicing Test Driven Development is a requirement.
• Solid grasp of Agile Methodologies.
• Experience with source control, build tools and GIT (GitHub, Bitbucket or other) is required.
• High School diploma, GED or High School Equivalency.
Preferred qualifications:
• Bachelors Degree in Computer Science, Information Systems or related technical field.
• Experience working in an airline technology environment.
• Knowledge of AI/ML workflows is a plus.
Responsibilities:
Manage and transfer large data volumes via Data Lake and/or Teradata.
 
· Design and implement database structures that support efficient data storage and retrieval.
 
· Develop and maintain data models using Erwin Data Modeling Tool.
 
· Perform dimensional modeling and ensure data warehouse optimization.
 
· Write and optimize SQL queries (DMLs and DDLs) for querying databases, creating tables, and managing data relationships.
 
· Fine-tune queries to enhance performance and manage complex data relationships.
 
· Collaborate with cross-functional teams to meet AI/ML project requirements.
 
· Design and develop data, and infrastructure solutions, seek opportunities to optimize performance, maintain and troubleshoot application components as required.
 
· Design and develop with consideration for Non-Functional Requirements (Scalability, Reliability, Availability, Observability, Fault Tolerance)
 
· Ensure that the Delta methodology, standards, and procedures are adopted and implemented
 
· Design solutions to meet functional and technical requirements.
 
· Develop delivery pipelines and automated deployment scripts.
 
· Configure services, such as databases and monitoring.
 
· Assisting in the design, implementation and optimization of related approaches, tools and workflows.
 
· Align to Security/Compliance frameworks and controls requirements.
 
· Implement Service Reliability Engineering

 

Company Information