Azure Data Engineer

Azure Data Engineer needs 10+ years’ data engineering experience

Azure Data Engineer requires:

• Advanced

• SQL

• Snowflake

• Tamr

• Python

• GitHub

• Intermediate

• Databricks

• Airflow

• 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

• Create data validation methods and data analysis tools

Azure Data Engineer duties:

• 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