Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards

Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed
Automate data processing of data from multiple data sources
Develop, deploy and version control code for data consumption, reuse for APIs
Employ machine learning techniques to create and sustain data structures
Perform root cause analysis on external and internal processes and data to identify opportunities for improvement, resolve data quality issues
Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria
Mentorship & Coaching Jr data engineers by providing guidance on best practices in coding, data modeling, and pipeline design. Etc.

About You

Skills and Qualifications

Minimum bachelor s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience
Petroleum, Chemical, Mechanical, Civil/construction Engineering is acceptable given appropriate work experience
5 or more years performing duties related to data engineering
Expert proficiency in at least one of these programming languages: Python(Must), NoSQL, SQL, R, and competent in source code management
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
Create data validation methods and data analysis tools

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