Motion Recruitment | Data Engineer

6 days ago

atlanta, United States Motion Recruitment Full time

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 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

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