Quality Assurance Engineer - Data Testing and Validation

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.