Data Engineer

2 weeks ago


Atlanta, United States Datum Technologies Group Full time
Data Engineer #39559
Long-Term Contract
Hybrid Schedule

Atlanta, Ga

Top Skills: Management and transfer of large volumes of data via Data Lake and/or Teradata, Data modeling, fine tuning of queries, creating tables and manage data relationships.

Qualifications:
  • 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 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 our 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.


"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran."

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