Data Quality Engineer Resume Samples

Description :

1. Wrote testing plans and routines, managed continuous integration and regression testing processes, and was the point person for clearing data for release according to delivery specifications.
2. Able to function effectively in a high-volume, rapid delivery environment in which publicly available data must meet data, security, and accessibility specifications without fail.
3. Worked with product managers and development leads to create testing strategies.
4. Worked with data engineers to develop automated tests.
5. Identified or established validations that cover both functional and domain-specific data quality dimensions.
6. Executed and automated test cases, and performed bug tracking.
7. Helped to create and implement quality processes and requirements.

Experience

0-2 Years

Level

Fresher

Education

BSc IT

Description :

1. Engaged in all data-related activities such as data profiling, cleansing, reduplication, standardization, and conversion.
2. Worked in conjunction with Developers and Data Engineers to ensure high-quality Data Deliverable.
3. Worked with the development teams from different groups in the organization, to help identify inconsistent data patterns, and how they are manifested from the source processes.
4. Designed, implemented, and used data quality assurance frameworks to support the process of identifying inconsistent data patterns.
5. Analyzed complex data systems to develop automated and reusable solutions for extracting requested information while assuring data validity and integrity.
6. Performed various tasks in the full lifecycle of data management, such as defining data specifications, writing scripts, developing monitoring tools, conducting impact analysis, establishing data lineage, implementing quality controls, and creating data quality dashboards.
7. Derived data management structures and metadata to support consistency of information retrieval, combination, analysis, pattern recognition, and interpretation, throughout the organization.

Experience

2-5 Years

Level

Executive

Education

BSc CS

Description :

1. Performed ongoing monitoring and refinement of the Data Lakehouse.
2. Maintained data standards, enforced standard development protocols, and analyzed requirements to ensure technical and standard operating procedure impacts were considered.
3. Limited non-standard solutions and escalated when used with documentation supporting exception requirements.
4. Assisted report writers with data visualization and team members with data sourcing.
5. Collaborated with members of Information Technology, and cross-functional business stakeholders to translate business requirements into technical specifications into measurable outcomes.
6. Expert with building and implementing test frameworks for data-centric applications in Azure cloud environments.
7. Identified metrics that are used to measure data quality.

Experience

0-2 Years

Level

Fresher

Education

BSc CS

Description :

1. Collaborated with data engineers to understand data pipelines, transformations, and business rules to develop comprehensive test strategies.
2. Developed automation test scripts using Python and PySpark to execute test cases against data pipelines and processes.
3. Conducted regression tests to ensure the stability and reliability of data pipelines after code changes or updates.
4. Implemented monitoring and alerting mechanisms to proactively identify and address data quality issues in production environments.
5. Worked closely with cross-functional teams to define acceptance criteria and ensured that data quality requirements were met.
6. Documented test cases, test results, and defects to facilitate collaboration and knowledge sharing within the team.
7. Continuously evaluated and improved testing processes and methodologies to enhance data quality assurance practices.

Experience

2-5 Years

Level

Junior

Education

BSc CS

Description :

1. Partnered with data leaders across various departments to understand data quality requirements and data quality goals.
2. Supported the identification of critical data assets and elements.
3. Supported the identification, alignment, and onboarding process for Data Owners and Data Stewards for data assets.
4. Facilitated the process of metadata configuration for data assets.
5. Led the identification, prioritization, and enablement of data quality rules, data quality metrics, and data quality reporting.
6. Ensured implementation of data quality prioritization and remediation workflows.
7. Wrote complex SQL queries/review datasets against defined data quality dimensions to determine the root cause for data quality errors and make recommendations for long-term solutions.

Experience

7-10 Years

Level

Senior

Education

BSc CS

Description :

1. Performed data analysis and data defect resolution in a data warehouse environment.
2. Performed SQL queries to analyze and troubleshoot issues.
3. Discovered data quality issues and designed solutions to remediate them.
4. Made decisions in complex and multi-faceted data engineering situations requiring an understanding of technology data and data relationships.
5. Collaborated and consulted with internal partners to resolve highly risky data engineering challenges.
6. Established data quality automation plans to improve data validation, while working in collaboration with our automation team.
7. Built test cases to validate data consistency, accuracy, validity, uniqueness, and completeness.

Experience

0-2 Years

Level

Entry Level

Education

BSc CS

Description :

1. Analyzed requirements, collaborated with data architects and engineers and provide feedback on requirements, designs, specifications, completeness and testability for data pipelines, dashboards, visualizations and data.
2. Provided accurate estimates for QA efforts including test case design/scripting, test data management, test execution, and defect correction.
3. Leveraged technical expertise to develop, maintain and execute, detailed, comprehensive, and well-structured, Test Suites and Test Cases, including necessary database scripts for data analysis and quality checks.
4. Designed and developed test artifacts including but not limited to Test Environment/Bed Specifications, Test Strategy, Test Plan, Test Case, Traceability Matrix, and QA metrics.
5. Conducted data validation and data quality checks to ensure accuracy, reliability, and consistency of data throughout all pipelines for ingestion and consumption.
6. Identified opportunities to improve quality by increasing unit, integration, and regression test coverage for ELT/ETL and BI.
7. Assisted with building and maintaining test environments and driving their best use.

Experience

10+ Years

Level

Management

Education

BSc CS

Description :

1. Collaborated with stakeholders to define and maintain data quality standards, guidelines, and metrics.
2. Provided guidance and support to team members on data quality-related matters.
3. Found and reported bugs and defects into a bug reporting/tracking platform such as Jira following proper standards.
4. Participated in standup meetings and other team meetings such as test planning and update meetings.
5. Identified, designed, and implemented internal process improvements and automated manual processes, updating Data Quality processes to enhance efficiency.
6. Participated across all phases of the software development life cycle for the assigned project/module.
7. Monitored the impact of changes to the ELT/ETL or BI tools, ensuring that they did not introduce data integrity issues or downstream problems.
8. Stayed up-to-date with industry best practices in data quality assurance and contributed to the continuous improvement of QA processes within the team.

Experience

2-5 Years

Level

Executive

Education

BSc CS

Description :

1. Performed root cause analysis of data discrepancies and proposed solutions to prevent recurrence.
2. Participated in the design and implementation of automated testing frameworks and tools to streamline the QA process.
3. Worked with product, engineering, and customer teams to implement quality testing strategy define and set data quality metrics
4. Designed and implemented quality verification of data products strategy.
5. Defined priorities, risks, and attributes in the data quality testing strategy.
6. Prepared Data Quality environments and applications.
7. Created, monitored, and maintained QA reports, KPIs, and quality trends.

Experience

5-7 Years

Level

Freelancer

Education

BSc CS

Description :

1. Expert in machine learning, especially in data quality applications a big plus.
2. Expert in building data quality automation frameworks is a big plus.
3. Collaborated with cross-functional teams to ensure quality and timely delivery of products.
4. Developed and executed manual and automated test cases for software applications to ensure the reliability of data pipelines, ETL processes, and data transformations.
5. Conducted end-to-end integration testing between multiple independent systems and interfaces (flat files, APIs, ETL).
6. Utilized AWS services, Snowflake data warehouse, and ODS to test data integration and migration processes.
7. Conducted functional, integration, regression, and performance testing of database systems using industry-standard technologies (SQL, Python, iCEDQ).

Experience

5-7 Years

Level

Consultant

Education

BSc CS