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Job Requirements of Data Quality Engineer:
-
Employment Type:
Full-Time
-
Location:
Brentwood, TN (Onsite)
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Data Quality Engineer
Bayone Solutions Inc
Brentwood, TN (Onsite)
Full-Time
Job Description :
Education and Experience
• Bachelor's degree in a technical or business discipline OR additional training/certification on ETL and Data Warehouse testing.
• Three years of database/warehouse experience in Information Technology with a reporting/analytics or software development focus
• Demonstrated strong SQL skills in reading and writing data from a relational database for purposes of data warehousing, ETL, and data management
• One year of using test management tools like Client ALM/qTest/xRay and one year of experience using any automated ETL/Dashboard/Reporting testing tool
• Demonstrated analytical, problem-solving, time management skills and think out of the box.
• Demonstrated experience in working with Data Quality Metrics
Knowledge, Skills, and Abilities
• Works to achieve operational targets, which has a moderate impact on the overall achievement of results for the team
• Work is moderately supervised
• Problems faced are difficult but typically not complex and requires some depth of analysis
• Communicates information typically within the immediate team on matters that involve obtaining or providing information of direct importance to the team
• May provide guidance and assistance to associate and/or support professionals
• Passion to Client data-driven solutions that solve business problems within a healthcare setting
• Possesses data warehouse core techniques: design, ETL, query development, and optimization to move from ambiguity to a solution
• Comfortable working in a team-oriented, collaborative environment
• Good communication and interpersonal skills
• Ability to work effectively in a fast-paced environment with tight schedules and target dates as part of a high-performing team
Nice to have
• Healthcare data domain knowledge including EDI standards, authorization, claims, DRG, diagnosis, and other related taxonomies applicable in claims / clinical workflow
• Agile process experience including scrum and kanban frameworks
• Test automation experience supporting warehouse / ETL data flows
• Exposure to big data technologies (NoSQL) and machine learning tools, including R and Python
Education and Experience
• Bachelor's degree in a technical or business discipline OR additional training/certification on ETL and Data Warehouse testing.
• Three years of database/warehouse experience in Information Technology with a reporting/analytics or software development focus
• Demonstrated strong SQL skills in reading and writing data from a relational database for purposes of data warehousing, ETL, and data management
• One year of using test management tools like Client ALM/qTest/xRay and one year of experience using any automated ETL/Dashboard/Reporting testing tool
• Demonstrated analytical, problem-solving, time management skills and think out of the box.
• Demonstrated experience in working with Data Quality Metrics
Knowledge, Skills, and Abilities
• Works to achieve operational targets, which has a moderate impact on the overall achievement of results for the team
• Work is moderately supervised
• Problems faced are difficult but typically not complex and requires some depth of analysis
• Communicates information typically within the immediate team on matters that involve obtaining or providing information of direct importance to the team
• May provide guidance and assistance to associate and/or support professionals
• Passion to Client data-driven solutions that solve business problems within a healthcare setting
• Possesses data warehouse core techniques: design, ETL, query development, and optimization to move from ambiguity to a solution
• Comfortable working in a team-oriented, collaborative environment
• Good communication and interpersonal skills
• Ability to work effectively in a fast-paced environment with tight schedules and target dates as part of a high-performing team
Nice to have
• Healthcare data domain knowledge including EDI standards, authorization, claims, DRG, diagnosis, and other related taxonomies applicable in claims / clinical workflow
• Agile process experience including scrum and kanban frameworks
• Test automation experience supporting warehouse / ETL data flows
• Exposure to big data technologies (NoSQL) and machine learning tools, including R and Python
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