Sr. Software Engineer - ETL Testing Job

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Sr. Software Engineer - ETL Testing Job

Date: Oct 13, 2025

Job Requisition Id: 62896

Location:

Pune, IN Hyderabad, IN Indore, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire ETL Testing Professionals in the following areas :

Experience

5 To 7 Years

Job Description

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 -

• Bachelor’s degree in Computer Science, Statistics, Information Management, or related field.
• 5 -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.
  
  

Required Behavioral Competencies

Accountability:

• Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.
  
  

Collaboration:

• Participates in team activities and reaches out to others in team to achieve common goals.
  
  

Agility:

• Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.
  
  

Customer Focus:

• Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.
  
  

Communication:

• Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.
  
  

Drives Results:

• Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.
  
  

Certifications

Good To Have

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture
  
  

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