Data Quality Engineering

1 month ago

india Michael Page Full time
Competetive Salary PF and Gratuity

About Our Client

Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world.

Job Description

Experience: 6-10 years
Location: Open
Notice: Immediate JOB DESCRIPTION:

Check and align with compliance rules Develop and build testing plans for the pipelines. model testing (A/B testing) and pipelines unit testing and data validation. Collaborate with cross-functional teams to ensure quality and timely delivery of products. Develop and execute manual and automated test cases for software applications to ensure the reliability of data pipelines, ETL processes, and data transformations. End to end integration testing between multiple independent systems and interfaces (flat files, APIs (ETL), etc. Utilize AWS services test data integration and migration processes. Conduct functional, integration, regression, and performance testing of database systems using industry standard technologies (SQL, Python, iCEDQ, etc.) Create and maintain documentation of test plans, test cases and testing results. Engage with product owners and development leads to create testing strategies. Identify areas of improvement in data quality processes and propose solutions to enhance data accuracy and reliability. Collaborate with data engineering and development teams to implement data quality best practices and optimize data workflows. Document data quality issues, testing procedures, and resolutions for future reference and knowledge sharing.

Requirements :

Overall Experience min. 8-9 year 3 -5 Years working with one of the coding languages (Python, Scala) plus SQL. 3 -5 building database schema design, data models for DWH, Data Lake architecture. 3-5 years' experience AWS cloud and AWS services such as S3 Buckets, Lambda, API Gateway, SQS queues. Experience with data processing concepts like mapping documents and complex data relationships. Experience with requirement analysis, defect tracking, coordinating with team members in different locations, and test reporting and signoff. Strong analytical and technical skills to address sophisticated issues. Ability to perform root cause analysis on defects. Assist in developing and maintaining data governance policies and standards. Design, monitor and maintain QA reports, KPIs & quality trends for the internal data systems Detailed and organized approach to solving problems. Understanding of Web technologies: JSON, Web services and APIs. Experience working with code repositories (GitLab). Working understanding of Agile, Scrum, Design Thinking.

The Successful Applicant

Experience: 6-10 years
Location: Open
Notice: Immediate JOB DESCRIPTION:

Check and align with compliance rules Develop and build testing plans for the pipelines. model testing (A/B testing) and pipelines unit testing and data validation. Collaborate with cross-functional teams to ensure quality and timely delivery of products. Develop and execute manual and automated test cases for software applications to ensure the reliability of data pipelines, ETL processes, and data transformations. End to end integration testing between multiple independent systems and interfaces (flat files, APIs (ETL), etc. Utilize AWS services test data integration and migration processes. Conduct functional, integration, regression, and performance testing of database systems using industry standard technologies (SQL, Python, iCEDQ, etc.) Create and maintain documentation of test plans, test cases and testing results. Engage with product owners and development leads to create testing strategies. Identify areas of improvement in data quality processes and propose solutions to enhance data accuracy and reliability. Collaborate with data engineering and development teams to implement data quality best practices and optimize data workflows. Document data quality issues, testing procedures, and resolutions for future reference and knowledge sharing.

Requirements :

Overall Experience min. 8-9 year 3 -5 Years working with one of the coding languages (Python, Scala) plus SQL. 3 -5 building database schema design, data models for DWH, Data Lake architecture. 3-5 years' experience AWS cloud and AWS services such as S3 Buckets, Lambda, API Gateway, SQS queues. Experience with data processing concepts like mapping documents and complex data relationships. Experience with requirement analysis, defect tracking, coordinating with team members in different locations, and test reporting and signoff. Strong analytical and technical skills to address sophisticated issues. Ability to perform root cause analysis on defects. Assist in developing and maintaining data governance policies and standards. Design, monitor and maintain QA reports, KPIs & quality trends for the internal data systems Detailed and organized approach to solving problems. Understanding of Web technologies: JSON, Web services and APIs. Experience working with code repositories (GitLab). Working understanding of Agile, Scrum, Design Thinking.

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