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YASH Technologies - Software Engineer - ETL Testing

YASH Technologies - Software Engineer - ETL Testing

YASH TechnologiesPune
10 days ago
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 application.
  • (ref : hirist.tech)

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