Role: – Data Scientist
Bill Rate: $72/hour C2C
Location: Remote
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Skype
Direct Client Requirement
Job Details
· Provide strategies to ensure accurate and efficient data reconciliation between Oracle to SQL Server environments.
· Recommend best practices for comparing millions of converted data rows and validating data integrity.
Data Validation & Testing:
· Deliver efficient and scalable data comparison techniques to validate data accuracy post-migration.
· Propose solutions for data chunking, batch processing, and data hashing to address memory and performance challenges.
· Automate data validation processes to reduce manual intervention and improve testing efficiency.
· Perform detailed data reconciliation testing to identify discrepancies such as mismatches, missing rows, or invalid data.
Scalable Testing Approaches:
· Design methods for incremental data validation and parallelized comparison tasks.
· Suggest solutions to enhance scalability and performance.
· Support in performance tuning of SQL queries to optimize data comparison processes.
Best Practices & Frameworks:
· Recommend tools and frameworks for handling large-scale data comparisons in Oracle and SQL Server.
· Share case studies or examples of successful large-scale data reconciliation testing projects.
Collaboration and Knowledge Transfer:
· Provide training and mentorship to client teams on data governance, validation strategies, and scalable testing practices.
Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible
Srinivasa Reddy Kandi
Client Delivery Manager
Valiant Technologies LLC
Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law