About Kadel Labs :

Kadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001:2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and automation tasks.

Position : Data Quality Analyst (DQA)

Location : Udaipur / Jaipur

Experience : 3-6 years

We are seeking a Data Quality Analyst (DQA) to support a critical data migration program involving migration from Azure Data Lake Storage (ADLS) to MongoDB using .NET-based services. The role focuses on validating data integrity, accuracy, and completeness across source, intermediate, and target systems using SQL, Python, and Databricks.

Key Responsibilities :

- Validate data migration from ADLS to MongoDB across multiple stages

- Perform source-to-target data reconciliation including:

- Record counts

- Schema and data type validation

- Business rule validation

- Duplicate and null checks

- Write SQL queries to validate data in source and intermediate layers

- Develop Python scripts for automated data validation and comparisons

- Use Databricks notebooks for data profiling, validation, and analysis

- Validate outputs generated by .NET-based migration pipelines

- Identify, log, and track data quality defects with clear root cause analysis

- Collaborate with Data Engineering, .NET, and QA teams to resolve issues

- Support UAT, regression testing, and migration sign-off

- Prepare data quality reports, test cases, and validation documents

Required Technical Skills :

Data & Validation Skills :

- Strong SQL skills (joins, aggregations, filters, subqueries)

- Hands-on experience with Python for data validation and scripting

- Solid understanding of data quality dimensions (accuracy, completeness, consistency)

Platform & Tools :

- Working knowledge of Databricks (notebooks, Spark basics, Spark SQL)

- Experience with Azure Data Lake Storage (ADLS Gen2)

- Basic understanding of MongoDB (collections, documents, querying)

- Conceptual understanding of .NET-based data migration services

Testing Skills :

- Strong understanding of testing fundamentals

Experience in :

- Data migration testing

- Data validation and reconciliation testing

- Integration and regression testing

- Defect tracking using Azure DevOps or similar tools

- Ability to create data-driven test cases and test scenarios

Good to Have :

- Prior experience in data migration projects (cloud or on-prem to cloud)

- Exposure to NoSQL database validation (MongoDB preferred)

- Knowledge of Spark SQL and performance validation

- Experience working in Agile / Scrum environments

- Familiarity with data profiling or data quality frameworks

Soft Skills :

- Strong analytical and problem-solving abilities

- Clear communication and documentation skills

- Ability to work independently in fast-paced migration programs

- Strong collaboration skills across cross-functional teams

- Key Value Add

- This role offers hands-on exposure to Azure, Databricks, MongoDB, and modern data migration

architectures, with the opportunity to work on large-scale enterprise data transformation initiatives.