Senior Data Analyst and Quality Engineer

We are Urgent Hiring for - Sr. Data Analytics and Quality Engineer

Experience -  7 years to 14 years

Mandate Skills -QA Process, Mentoring, ETL Testing, Data Validation, Data Quality, SQL (  T-SQL or Pl / SQL  ), US Healthcare Domain

Location -  Hyderabad

Mode -  Hybrid

Notice Period -  Immediate Joiner to 15 Days

Must-Have Skills :

ETL Testing

Excellent Communication

PL / SQL / T-SQL

Python (Nice to have)

Preferred Skills :

• Data Integration & Data Recognition
• Power BI – Good to have
• Tableau – Fine
• .Net – Fine
• Data Testing Tools – DBT (Nice to have)

Job Summary

• The Senior Quality Assurance Engineer will bring comprehensive quality testing expertise to a growing and innovative organization, designing and documenting testing scenarios, creating test plans, and reviewing quality specifications and technical design for both existing and new analytics products. The Sr. QA Engineer will be an integral part of our growing analytics product team, working with new technology in both manual and automation testing environments.

Essential Function & Task

• Perform test execution (both manual and automated) for healthcare analytics including extraction and load processes, data transformations, data models, and dashboarding.
• Create detailed, comprehensive, and well-structured test plans and test cases.
• Collaborate closely with Data & Analytics team members to ensure that production system defects are documented, an appropriate testing plan is established, and defects are resolved in a timely manner.
• Drive data quality programs and assist in the implementation of company automated test frameworks and solutions within an agile team structure.
• Performs special projects and other duties as assigned.

Education & Experiences Requirement

• Bachelors degree in computer science, Information Technology, Data Science, Math, Finance, or a related field, or equivalent training and / or experience.
• Minimum (5) years of experience as a quality assurance engineer or data analyst with strong data quality orientation.
• Experience with testing in cloud-native systems (MS Fabric preferred)

Preferred qualifications

• QA related certifications preferred.
• Strong understanding of US healthcare revenue cycle and billing.

Knowledge skill & Abilities

• Proficiency with using a variety of test case management tools in Azure DevOps and Agile development tools and process (Azure Dev Ops and Confluence).
• Proven QA experience designing quality assurance testing for ELT process, dashboard tools (ideally Power BI), large scale data warehouse projects.
• Knowledge of data quality frameworks, to monitor and enforce data quality standards.
• Experience with automated testing tools.
• Proven experience building test plans based on business requirements and technical specifications
• The ability to test the performance and scalability of data systems, especially when handling large volumes of data. This includes checking for speed, reliability, and system bottlenecks in data processing and analytics.
• Expert SQL in relational databases (SQL Server, MS Fabric) with the ability to independently explore, query, and validate data.
• Ability to read and understand existing queries as well as create new queries.
• Strong analytical skills.
• Strong process improvement & organizational skills.
• Strong time management skills.
• Working knowledge of project management specifically Azure DevOps.
• Ability to identify opportunities that drive execution of action plans to close gaps and move key priorities forward.
• Ability to influence and gain support from stakeholders through effective communication and relationship building.
• Ability to communicate technical information to technical and nontechnical personnel at various levels in and across the organization.
• Ability to exercise sound judgment and handle highly sensitive and confidential information appropriately.
• Ability to remain results oriented and work within a collaborative and dynamic high paced environment.

Skills Required

Qa Process, Etl Testing, Data Validation, Data Quality