SQL Server developer

Minimum 5 years of hands-on experience in SQL Server SQL development, including writing complex queries, data manipulation statements, stored procedures, and tuning.
Knowledge of indexing, query optimization, transaction handling for efficient data updates.
Ability to analyze large datasets and pinpoint anomalies or inconsistencies.
Familiarity with data cleansing tools and techniques.
Ability to work independently and manage time effectively.
Excellent problem-solving skills and attention to detail.
Strong communication skills to collaborate with the data team and other business units.
Experience with data cleansing tools (SQL Server Data Quality Services, Trifacta, Talend, Alteryx, etc.).
Knowledge of programming languages such as Python.
Familiarity with ETL and automated data transformation techniques.
Other relevant certifications in SQL, Data Analysis and database management.

Responsibilities:
Assist with data cleanup related to the Data Quality Enhancement initiative and other development efforts as needed. Activities include:
Maintain the confidentiality of all business data and adhere to VRS data security policies.
Analyze and understand the structure and relationships within the database.
Write and execute SQL update and insert statements to clean and optimize data.
Utilize tools and techniques to automate and expedite the data cleansing process.
Collaborate with the data team to ensure data integrity and accuracy.
Document the data cleanup process and provide regular progress updates.
Special projects at the direction of the Chief Operating Officer or Data Officer.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Minimum 5 years of hands-on experience in SQL Server SQL development, including writing complex queries, data manipulation statements, stored procedures, and tuning.
Knowledge of indexing, query optimization, transaction handling for efficient data updates.
Ability to analyze large datasets and pinpoint anomalies or inconsistencies.
Familiarity with data cleansing tools and techniques.
Ability to work independently and manage time effectively.
Excellent problem-solving skills and attention to detail.
Strong communication skills to collaborate with the data team and other business units.
Experience with data cleansing tools (SQL Server Data Quality Services, Trifacta, Talend, Alteryx, etc.).
Knowledge of programming languages such as Python.
Familiarity with ETL and automated data transformation techniques.
Other relevant certifications in SQL, Data Analysis and database management.

Responsibilities:
Assist with data cleanup related to the Data Quality Enhancement initiative and other development efforts as needed. Activities include:
Maintain the confidentiality of all business data and adhere to VRS data security policies.
Analyze and understand the structure and relationships within the database.
Write and execute SQL update and insert statements to clean and optimize data.
Utilize tools and techniques to automate and expedite the data cleansing process.
Collaborate with the data team to ensure data integrity and accuracy.
Document the data cleanup process and provide regular progress updates.
Special projects at the direction of the Chief Operating Officer or Data Officer.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.