Data Quality Engineer Resume Samples

A Data Quality Engineer is responsible for the accuracy, consistency, and reliability of the organization’s data through the development and implementation of robust data quality processes. A well-drafted Data Quality Engineer Resume mentions the following duties – collaborating with data stakeholders to define and establish data quality standards, creating and executing data quality tests, developing automated processes for continuous monitoring and improvement, and resolving data anomalies. The job also includes educating other teams on best practices for maintaining high-quality data.

Skills needed to excel in this role are – a strong background in data management, proficiency in data quality tools and methodologies, excellent problem-solving skills, technical skills in programming languages such as SQL, Python, or R, strong communication skills, and the ability to convey data quality insights to non-technical stakeholders. A bachelor’s degree in a relevant field such as Computer Science, Data Science, or IT is typically required. Additionally, certifications in data quality or related areas can enhance qualifications.

Data Quality Engineer Resume example

Data Quality Engineer Resume

Objective : As a Data Quality Engineer, provides continuous automated and manual testing of data sets for use in internal data systems and delivery from internal systems to clients within Disney and works in the data technology team with the senior staff data engineer and the data engineer.

Skills : Proficiency in SQL for data querying, Experience with data profiling

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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.
Years of Experience
Experience
0-2 Years
Experience Level
Level
Fresher
Education
Education
BSc IT


Assistant Data Quality Engineer Resume

Objective : As an Assistant Data Quality Engineer, responsible for designing, developing, documenting, and performing data quality checks across all data assets. That includes ETL jobs, reports, dashboards, and data pipelines.

Skills : Knowledge of data integration, ETL processes

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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.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
BSc CS


Associate Data Quality Engineer Resume

Objective : As an Associate Data Quality Engineer, design, implement, and maintain test frameworks for validating data quality, completeness, and accuracy across all stages of the data lifecycle.

Skills : Problem-solving, Communication

Associate Data Quality Engineer Resume Example
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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.
Years of Experience
Experience
0-2 Years
Experience Level
Level
Fresher
Education
Education
BSc CS

Junior Data Quality Engineer Resume

Objective : As a Junior Data Quality Engineer, leads the execution of end-to-end data quality processes and serves as a key contributor to achieving data quality enablement, monitoring, and remediation objectives.

Skills : Understanding of data governance, Attention to detail

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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.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
BSc CS

Senior Data Quality Engineer Resume

Summary : As a Senior Data Quality Engineer, assesses the data management and data quality maturity within functional areas and helps define a roadmap of initiatives to advance data quality goals, including initiatives related to creating and developing data management standards.

Skills : Data Cleansing, Data Quality Assessment

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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.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Senior
Education
Education
BSc CS

Data Quality Engineer Resume

Objective : As a Data Quality Engineer, develop and automate solutions for operational efficiencies and improved reliability of our Cloud Data Analytics Platform work with DevOps and Product Development teams, and play a critical role in ensuring the reliability, availability, and performance of our systems and services.

Skills : Data Validation, SQL and Data Manipulation

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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.
Years of Experience
Experience
0-2 Years
Experience Level
Level
Entry Level
Education
Education
BSc CS

Data Quality Engineer Resume

Summary : As a Data Quality Engineer, lead, develop, and execute comprehensive test plans, test cases, test scripts, and scenarios to validate the functionality, reliability, performance, accuracy, and integrity of data, for ETL/ELT and BI solutions, and contribute to improvements to frameworks, tools, processes, and best practices within a timely manner.

Skills : Data Governance, Data Integration

Data Quality Engineer Resume Model
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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.
Years of Experience
Experience
10+ Years
Experience Level
Level
Management
Education
Education
BSc CS

Data Quality Engineer Resume

Objective : As a Data Quality Engineer, collaborate with cross-functional teams, including data engineers, data analysts, and software developers, to understand data requirements and validate data integration and transformation processes.

Skills : Statistical Analysis, Programming Skills

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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.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
BSc CS

Data Quality Engineer Resume

Headline : As a Data Quality Engineer, identify, document, and track defects, issues, bottlenecks, or areas for optimization and improvement opportunities in the systems, and work with the relevant teams to investigate and resolve them, collaborating with data engineers to troubleshoot and resolve pipeline issues and ensure timely resolution.

Skills : Data Visualization, Documentation

Data Quality Engineer Resume Model
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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.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Freelancer
Education
Education
BSc CS

Data Quality Engineer Resume

Headline : As a Data Quality Engineer, responsible for implementing robust test frameworks, writing automation test cases, and collaborating closely with data engineers to validate and verify the functionality of data pipelines and processes.

Skills : Continuous Improvement, ETL Processes

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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).
Years of Experience
Experience
5-7 Years
Experience Level
Level
Consultant
Education
Education
BSc CS