-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 -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 customers 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 we'll 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.
