Compu-Vision Consulting
Data Engineer - Onshore
Compu-Vision Consulting, Sun Prairie, Wisconsin, United States, 53590
Title: Data Engineer - Onshore (Remote)
Duration: 6 months
Location: Remote
Job Description
Bachelors in Computer Science, Information Systems or related educational background Excellent working knowledge of SQL & experience querying big data platforms, relational databases, MySQL, Oracle, DB2, etc.
Demonstrated knowledge of and experience in business data definition, data profiling, and data mapping analysis Excellent understanding of how technology impacts the business Must have strong business acumen as well as technical solutions expertise Strong ability to independently perform analysis of business workflow, and technology issues to facilitate decision-making Multi-tasking along with strong organization and time management skills is a must Must have strong problem-solving skills Excellent interpersonal, communication, presentation, documentation skills Knowledge of Agile methodologies Experience with Data APIs (Working with RESTful endpoints and/or SOAP) Knowledge of Microsoft Azure, Databricks, Hadoop 2.0 ecosystems, HDFS, Pyspark, etc. is preferred
Job Description
Bachelors in Computer Science, Information Systems or related educational background Excellent working knowledge of SQL & experience querying big data platforms, relational databases, MySQL, Oracle, DB2, etc.
Demonstrated knowledge of and experience in business data definition, data profiling, and data mapping analysis Excellent understanding of how technology impacts the business Must have strong business acumen as well as technical solutions expertise Strong ability to independently perform analysis of business workflow, and technology issues to facilitate decision-making Multi-tasking along with strong organization and time management skills is a must Must have strong problem-solving skills Excellent interpersonal, communication, presentation, documentation skills Knowledge of Agile methodologies Experience with Data APIs (Working with RESTful endpoints and/or SOAP) Knowledge of Microsoft Azure, Databricks, Hadoop 2.0 ecosystems, HDFS, Pyspark, etc. is preferred