QA Engineer

Who are we Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing. Key Objectives: Hands-on experience with: Assist in source-to-target data testing using basic SQL scripting (manual testing). Support data transformation and manipulation testing with simple SQL queries. Help validate data quality and completeness using SQL (manual testing). Gain exposure to ETL processes and participate in basic ETL testing activities. Learn to run and monitor ETL processes through schedulers under supervision. Quality Assurance, Process Improvement and Collaboration: Execute test cases to validate data within on-prem and cloud data warehouses, following established test plans. Participate in testing ETL processes, dimensional data models, and reporting outputs as guided by senior team members. Identify and document data quality issues, escalating findings to data engineers and senior QA staff. Validate data loading and transformation processes with guidance. Assist in ensuring data consistency and integrity across data sources. Work closely with BA, data architect, data engineers, QA and stakeholders to understand data requirements and deliverables. Learn and apply QA testing strategies and methodologies as directed. Follow best practices for data validation and error handling. Support the design and implementation of data quality assurance tools and frameworks. Work closely with business analysts, data architects, engineers, and QA team members to understand data requirements. Provide clear documentation and basic reports on data quality findings and testing outcomes. Requirements Bachelor’s degree in computer science or related field (or equivalent experience). Basic understanding of Data Warehouse and Data Quality concepts. 0–2 years of experience in data warehouse development and/or testing. Entry-level candidates are welcome; a bachelor’s or master’s degree in computer science or computer engineering is required, along with some hands-on experience (e.g., data validation projects). Exposure to SQL Server and basic SQL queries for data validation. Familiarity with ETL concepts and testing procedures. Willingness to learn reporting tools (e.g., Tableau, MS Power BI). Strong attention to detail and willingness to follow a result-driven test approach. Eagerness to learn, take initiative, and demonstrate solid work ethics. Good written and verbal communication skills. Willingness to provide support as needed, including off-hour support on a rotation basis. You’re a Great Fit If You Have: Internship or academic project experience in Quality Assurance (manual testing). Exposure to SSIS & MSSQL (basic level). Familiarity with Snowflake and DBT is a plus. Willingness to learn QA automation tools. Basic knowledge of software development life cycle (SDLC) and QA processes. Ability to write simple test cases and scenarios. Basic knowledge of bug tracking tools (e.g., JIRA). Understanding of different types of testing (unit, integration, system, acceptance). Exposure to basic SQL queries for data validation. Desirable qualifications/pluses: Knowledge of Insurance Data & its processes Data validation experience between on-prem & cloud (i.e. hybrid) architecture. Familiarity with cloud computing and the data ecosystem on Snowflake.