Bachelor's in Data Engineering, Computer Science, IT, or related field.
Minimum 5 years in data operations, processing, and cleansing.
Strong experience in DataOps, schema design, SQL, R, Python, and Hive.
Familiarity with data mining and structured/unstructured data analysis.
Experience in developing Data Dictionaries.
Excellent communication skills and ability to work independently.
Responsibilities
Apply data operations techniques to create complex data models and flows.
Design and populate databases from multiple sources.
Collaborate with architects, SMEs, and Data Scientists on data management.
Ensure data quality by keeping it clean, reliable, and accessible.
Comply with data classification and security standards.
Coordinate the implementation of program and system specifications.
Support pipeline and LLM-related data preparation tasks.
Benefits
Opportunity to work with advanced data processing techniques.
Collaboration with subject matter experts across various domains.
Engagement in complex problem-solving environments.
Chance to contribute to data security and classification protocols.
Full Job Description
Description: This individual will apply data operations techniques to define and develop complex data models, flows, interfaces, and infrastructure. Designs databases, populates from multiple sources, and collaborates with architects, SMEs, and Data Scientists to curate/manage data. Ensures data is clean, reliable, and accessible.
Complies with data classification and security requirements. Coordinates implementation of program and system specifications and supports pipeline and LLM-related data preparation tasks.
Required Experience:
Bachelor's in Data Engineering, CS, IT, or related field.
Minimum 5 years in data operations, processing, cleansing.
