Data Quality Engineer

Title: Data Quality Engineer Location: Orlando, FL (100% onsite) Type: Direct Hire Position Rate: $120K per year + 8% annual bonus + full benefits + full relocation Education: Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering) The responsibilities of the IT Engineer will provide technical expertise in developing and maintaining a data quality framework.

This role will participate in the full data quality lifecycle from requirement elicitation through ongoing support. The candidate selected for this role will create technical design specifications from business/functional requirements or from logged data incidents. The position plays a pivotal role in the definition of our data quality program, which includes policy, process, standards, and tools.

The role demands an ability to understand the data semantics, business use and relationships. REQUIRED TECHNICAL SKILLS: Strong understanding of data structures, data types, and data transformation. Familiarity with industry data patterns, normalizations rules and data performance tuning. Ability to perform complex data mappings, workflows and sessions.

Strong relational database skills and an understanding of columnar data structure. Extensive experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx. Advanced expertise in reading, analyzing and debugging SQL. Ability to troubleshoot data processing performance issue.

Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ. Experience or willingness to learn SparkSQL and Databricks. Highly developed analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively analyze result set and triage quality issues.

Work with all levels of development from analysis through implementation and support. Expertise in working with spreadsheets, strong understanding of financial concepts and data. Ability to work independently, take ownership of tasks and follow through to implementation/resolution. Resolve end user data problems through collaboration with both technical and functional personnel in a team environment.

Demonstrated competency in designing, developing and testing complex rule sets. Demonstrated competency in accurately identifying the scope of work and preparing thorough, accurate and estimates. Exceptional verbal and written communications skills, with an ability to express complex technical concepts in business terms.

Solid teamwork and interpersonal skills. Strong analytical, problemsolving and conceptual skills. REQUIRED EDUCATION: Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering) OTHER KEY QUALIFICATIONS: Data modeling Experience Exposure to Cloud Infrastructure Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse Experience with data integration patterns, data pipelines and tools such as Azure Data Factory Experience using reporting tools like Power BI for Data quality visualizations Knowledge of Data and Delta Lake Structures Experience with Python, Scala or Java Knowledge of restaurant or retail business SKILLS AND EXPERIENCE: 7+ years’ experience across Business Intelligence/Data Warehouse/Data Lake projects 2+ years’ experience on Data Quality and Governance initiatives, with at least one successful implementation Experience programming in SQL with ability to develop complex queries against large disparate data sets