Job Description
We are looking forward to hire ETL Testing Professionals in the following areas :
Experience : 5 To 7 Years.
Key Responsibilities :
- Analyze and validate data for accuracy, completeness, and integrity.
- Develop and implement data quality standards, rules, and processes.
- Identify, assess, Perform data profiling and resolve data quality issues across systems.
- Monitor and report on data quality metrics and KPIs.
- Collaborate with data engineers, database developers, and business stakeholders.
- Support data governance initiatives and ensure compliance with data policies.
- Conduct root cause analysis of data issues.
- Document procedures and maintain accurate records of data quality activities.
- Validate data extraction, transformation, and loading from source to target systems.
- Perform data profiling, data validation, and reconciliation.
- Review data models, mappings, and architecture documents to derive test scenarios.
Required Qualifications :
- Bachelors degree in Computer Science, Statistics, Information Management, or related field.
- 5 to 7 years of experience in data testing, data analysis or data quality roles.
- Proficiency in SQL and data manipulation tools.
- Familiarity with data quality tools and frameworks.
- Excellent analytical, problem-solving, and communication skills.
Preferred Skills :
- Strong SQL skills and experience with ETL tools (e.g., Informatica, Talend, SSIS).
- Familiarity with data warehousing concepts (e.g., star/snowflake schemas, dimensions, facts).
- Experience with test management tools (e.g., JIRA,Test Rail).
- Experience with data visualization tools (e.g., Power BI).
- Excellent analytical and problem-solving skills.
- Experience working in cross-functional teams and agile environments.
Nice To Have :
- Cloud experience (Microsoft Azure, AWS, Snowflake).
- Data Governance experience.
Required Technical/ Functional Competencies :
Domain/ Industry Knowledge : :
- Basic knowledge of customer's business processes relevant technology platform or product.
- Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
Requirement Gathering And Analysis :
- Working knowledge of requirement management processes and requirement analysis processes, tools and methodologies.
- Able to analyse the impact of change requested / enhancement / defect fix and identify dependencies or interrelationships among requirements and transition requirements for the engagement.
Product/ Technology Knowledge :
- Working knowledge of technology product/platform standards and specifications.
- Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
- Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.
Architecture Tools And Frameworks :
- Basic knowledge of architecture Industry tools & frameworks.
- Able to analyse available tools and frameworks for review by the SME and plan for tool configurations and development.
Architecture Concepts And Principles :
- Basic knowledge of architectural elements, SDLC, methodologies.
- Able to apply various architectural constructs in the projects and identify various architectural patterns and implement.
Analytics Solution Design :
- High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.
Tools & Platform Knowledge :
- Familiar with wide range of mainstream commercial and open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of applicatio
Experience : 5 To 7 Years.
Key Responsibilities :
- Analyze and validate data for accuracy, completeness, and integrity.
- Develop and implement data quality standards, rules, and processes.
- Identify, assess, Perform data profiling and resolve data quality issues across systems.
- Monitor and report on data quality metrics and KPIs.
- Collaborate with data engineers, database developers, and business stakeholders.
- Support data governance initiatives and ensure compliance with data policies.
- Conduct root cause analysis of data issues.
- Document procedures and maintain accurate records of data quality activities.
- Validate data extraction, transformation, and loading from source to target systems.
- Perform data profiling, data validation, and reconciliation.
- Review data models, mappings, and architecture documents to derive test scenarios.
Required Qualifications :
- Bachelors degree in Computer Science, Statistics, Information Management, or related field.
- 5 to 7 years of experience in data testing, data analysis or data quality roles.
- Proficiency in SQL and data manipulation tools.
- Familiarity with data quality tools and frameworks.
- Excellent analytical, problem-solving, and communication skills.
Preferred Skills :
- Strong SQL skills and experience with ETL tools (e.g., Informatica, Talend, SSIS).
- Familiarity with data warehousing concepts (e.g., star/snowflake schemas, dimensions, facts).
- Experience with test management tools (e.g., JIRA,Test Rail).
- Experience with data visualization tools (e.g., Power BI).
- Excellent analytical and problem-solving skills.
- Experience working in cross-functional teams and agile environments.
Nice To Have :
- Cloud experience (Microsoft Azure, AWS, Snowflake).
- Data Governance experience.
Required Technical/ Functional Competencies :
Domain/ Industry Knowledge : :
- Basic knowledge of customer's business processes relevant technology platform or product.
- Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
Requirement Gathering And Analysis :
- Working knowledge of requirement management processes and requirement analysis processes, tools and methodologies.
- Able to analyse the impact of change requested / enhancement / defect fix and identify dependencies or interrelationships among requirements and transition requirements for the engagement.
Product/ Technology Knowledge :
- Working knowledge of technology product/platform standards and specifications.
- Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
- Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.
Architecture Tools And Frameworks :
- Basic knowledge of architecture Industry tools & frameworks.
- Able to analyse available tools and frameworks for review by the SME and plan for tool configurations and development.
Architecture Concepts And Principles :
- Basic knowledge of architectural elements, SDLC, methodologies.
- Able to apply various architectural constructs in the projects and identify various architectural patterns and implement.
Analytics Solution Design :
- High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.
Tools & Platform Knowledge :
- Familiar with wide range of mainstream commercial and open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of applicatio
💡 Quick Summary
Seeking a career-building opportunity? The YASH Technologies position is now open for candidates interested in the Office Assistant Jobs sector. This role in Pune offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Office Assistant Jobs is a plus.
