SQL Data Cleanup Specialist (HYBRID)

Job Title: SQL Data Cleanup Specialist (HYBRID)

Location: Richmond, VA

Duration: 12+ Months

Job Description:

The Client is seeking a skilled Structured Query Language (SQL) Data Cleanup Specialist to assist with cleansing and standardizing data across a large-scale SQL Server database.

Essential Duties and 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.

Required Skills and Experience:

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.

Desired Skills:

Experience in Pensions Benefit Management programs.

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.

Education and Experience:

Bachelor’s degree from a four-year college or university preferred and 5+ years’ experience with database technology or data organizations required.

Skills:

Skill Required / Desired Amount of Experience

Experience in SQL Server development, writing complex queries, data manipulation statements, stored procedures and tuning 5 Years

Knowledge of indexing, query optimization, transaction handling for efficient data updates 5 Years

Ability to analyze large datasets and pinpoint anomalies or inconsistencies 5 Years

Familiarity with data cleansing tools and techniques 5 Years

Ability to work independently and manage time effectively 5 Years

Excellent problem-solving skills and attention to detail 5 Years

Strong communication skills to collaborate with the data team and other business units 5 Years

Experience in Pensions Benefit Management programs Desired

Experience with data cleansing tools (SQL Server Data Quality Services, Trifacta, Talend, Alteryx, etc.). Desired

Knowledge of programming languages such as Python. Nice to have

Familiarity with ETL and automated data transformation techniques Desired

Other relevant certifications in SQL, Data Analysis and database management Not Required