Job Description

Candidate Skills Evaluation

Please complete the following skills evaluation for each candidate:

Skill	Years of Experience
Database Administrator Experience
AWS with RDS
Oracle/Postgres
Working with Cross-Functional Teams
Any Previous Airline Experience
Lead Experience

Qualifications

Must-Have:

5+ years of hands-on experience as a Data Analyst or similar technical engineering role.
Proficiency in technologies such as JAVA, Spring Boot, Python, IBM MQ, and 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+ years of experience with Data Lake and Teradata.
Proficiency in SQL for database querying, table creation, and data relationship management.
Experience engineering software within an AWS cloud infrastructure or another enterprise cloud provider.
Demonstrable experience with DevOps principles, practices, and tools.
Strong understanding of the Software Development Lifecycle with experience building CI/CD pipelines and practicing Test Driven Development (TDD).
Solid grasp of Agile Methodologies.
Proficiency in source control tools such as GitHub, Bitbucket, or similar.

Key Instructions:

Local candidates only are preferred.
Candidates must provide a personal email address and contact details, not just work-related emails.
Active LinkedIn profiles with a profile photo are required.

Preferred:

Bachelor’s Degree in Computer Science, Information Systems, or a related technical field.
Experience in an airline technology environment.
Knowledge of AI/ML workflows is a plus.

Responsibilities

Manage and transfer large data volumes via Data Lake or Teradata.
Design and implement database structures for efficient data storage and retrieval.
Develop and maintain data models using Erwin Data Modeling Tool.
Perform dimensional modeling and optimize data warehouse performance.
Write and optimize SQL queries (DMLs and DDLs) for querying databases, creating tables, and managing data relationships.
Collaborate with cross-functional teams to meet AI/ML project requirements.
Design and develop data infrastructure solutions while optimizing performance.
Ensure adherence to Delta’s methodology, standards, and procedures.
Develop delivery pipelines and automated deployment scripts.
Configure services like databases and monitoring tools.
Implement and optimize Service Reliability Engineering (SRE).
Align with Security/Compliance frameworks and controls requirements.
Troubleshoot and maintain application components as required.

From:
jatin parashar,
Vyze Inc
jparashar@vyzeinc.com
Reply to: jparashar@vyzeinc.com