- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Validation Engineer ETL/Azure Databricks.
Urgent! Data Validation Engineer - ETL/Azure Databricks Job Opening In India, India – Now Hiring VSHR UNNATI LLP
<p><p><b>About the Role</b><br/><br/>We are looking for a detail-oriented Data Validation Engineer to ensure the accuracy, quality, and consistency of data across our platforms.
The ideal candidate will be proficient in PySpark and have strong experience working with Databricks to build automated validation frameworks that verify ingestion, transformation, and reporting pipelines.<br/><br/>You will work closely with Data Engineers, Data Scientists, and business stakeholders to design validation rules, troubleshoot data issues, and ensure reliable delivery of high-quality data.</p><p><b><br/></b></p><p><p><b>Key Responsibilities :</b></p><br/>- Develop and maintain automated data validation pipelines using PySpark on Databricks.<br/><br/>- Validate data ingestion, transformation, and aggregation processes across multiple data sources.<br/><br/>- Identify, document, and resolve data quality issues in collaboration with engineering and analytics teams.<br/><br/>- Create reusable validation frameworks to check data accuracy, completeness, timeliness, and consistency.<br/><br/>- Write and optimize PySpark queries for large-scale validation in Databricks notebooks.<br/><br/>- Perform root cause analysis for data discrepancies and ensure corrective actions are implemented.<br/><br/>- Work with business stakeholders to define validation rules and acceptance criteria.<br/><br/>- Contribute to continuous improvement of data quality, governance, and monitoring & Skills :</b></p><br/>- 36 years of experience in Data Engineering, Data Validation, or Data Quality roles.<br/><br/>- Strong expertise in PySpark, Python, and SQL, with hands-on Databricks experience.<br/><br/>- Experience building validation frameworks on Databricks and Spark-based platforms.<br/><br/>- Familiarity with ETL/ELT processes, data pipelines, and data warehousing concepts.<br/><br/>- Exposure to cloud data ecosystems (Azure, AWS, or GCP) with Databricks integration.<br/><br/>- Knowledge of data governance, monitoring, and quality frameworks.<br/><br/>- Strong analytical and troubleshooting skills with attention to detail.<br/><br/>- Excellent communication and collaboration We Offer :</b></p><br/>- Opportunity to work on large-scale data validation projects using Databricks & PySpark.<br/><br/>- 100% Remote Opportunity<br/><br/>- Exposure to modern big data platforms and cloud data ecosystems.<br/><br/>- Collaborative, innovation-driven, and growth-oriented culture.<br/><br/>- Competitive compensation and career advancement opportunities.</p><br/></p> (ref:hirist.tech)
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Data Validation Potential: Insight & Career Growth Guide
Real-time Data Validation Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Validation in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 149255 jobs in India and 10470 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Data Validation roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! VSHR UNNATI LLP is currently hiring and seeking a Data Validation Engineer ETL/Azure Databricks to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Validation Engineer ETL/Azure Databricks Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at VSHR UNNATI LLP adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Validation Engineer ETL/Azure Databricks Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Validation Engineer ETL/Azure Databricks typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Validation Engineer ETL/Azure Databricks, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Validation Engineer ETL/Azure Databricks interview at VSHR UNNATI LLP, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the VSHR UNNATI LLP's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Data Validation Engineer ETL/Azure Databricks is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!