Azure Data Engineer

Responsibilities:

• 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 opportunity for improvement, resolve data quality issues
• Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria.

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.
• 5 or more years performing duties related to data engineering.
• Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and competent in source code management.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

Key Skills:

• ETL.
• Data modeling.
• Data pipelining.
• Data security and compliance.
• Data warehouse.
• Machine learning.
• Problem solving.
• Big data technologies.
• Cloud computing.