Junior SQL Developer

This is a remote position.

DISCLAIMER: This job posting is intended for active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future job openings. Should your application align with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately. Please note that this does not guarantee immediate placement or contact. Additionally, we exclusively consider applications from individuals who are currently reside in the US/Canada during their application process.

Salary: $60,000 - $75,000 per annum

Experience Required: Minimum 1 year of project experience.

Responsibilities:

Define and document data ETL procedures, standards, and metrics to support customer analytics business rules. Establish data quality processes and compliance with data standards for data domains. Troubleshoot issues with data quality as identified by stakeholders. Perform activities to address data extraction, data validation, data cleansings, data harmonization, business logic, exception handling, and required data indication. Design and build a data inventory including field definitions, ontologies, list of values (LOVs), and mappings as requested by the stakeholder and defined by requirements. Understand critical data relationships and customer data domains. Collaborate with business process owners, data producers, and data consumers to get an understanding of current processes and systems that has a direct impact on the quality of the enterprise data.

Qualifications:

Bachelor of Science degree and/or relevant work experience 1 years of prior experience as a data analyst or architect Strong experience working with retail point-of-sale (POS) transaction log (TLOG) files and mapping data to be used by other retail-related business applications Data Architect deep understanding of ETL Tools, Best Practice Processes (Enterprise ETL Tools, Self-Service, Data Preparation) Data Movement Tools (SSIS, Informatica, Talend, etc.) Proficient in SQL (SQL, Stored Procedures, Dynamic SQL, Joins, Aggregation, etc.) Experience with Data Structure Solutions (Big Data, RDBMS, NoSQL) Experience with a couple of Database Systems (Oracle, SQL Server, My SQL, Postgres, etc.) Skilled in one scripting language, such as R, Python, VBScript, Shell Script Understanding of Data Governance, Data Integrity, Master Data Management, Data Quality- Design, Develop, and Deployment Best Practices Experience structuring and analyzing large quantities of data and information for statistical and analytical modeling Understanding of Business Intelligence Best Practices, Architectures, Tools, Methodologies, and Software Good Strong oral, written communication and leadership skills Proven ability to partner with client stakeholders from various parts of an organization

Key Skills

• RDBMS