Data Quality Engineer
Hyderabad, Telangana, India · മുഴുവൻ സമയവും
അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ
- അനുഭവം
- 4+ yrs
- ശമ്പളം
- —
- ഓപ്പണിംഗുകൾ
- 1
- പോസ്റ്റ് ചെയ്തു
- 1 ദിവസം മുൻപ്
Where you'll work
ജോലി വിവരണം
About the company
EPAM Systems is a global digital engineering and transformation company founded in 1993. It blends software engineering, consulting, advisory, and design expertise to build digital and physical products, along with platform engineering solutions. Its distributed teams work across more than 45 countries and support industries such as enterprise, education, and healthcare. The company is recognized among major global technology and growth rankings.
Role overview
The Data Quality Engineer will support data migration and modernization work by ensuring that data is accurately tested, validated, and protected across cloud-based pipelines and ETL workflows.
What you will do
- Partner with the Data Migration Lead and engineering team to shape and apply migration testing approaches and best practices.
- Take part in data mapping, reconciliation, and validation activities to maintain strong data integrity and quality.
- Build and apply testing methods for data lineage, tokenization, and encryption so privacy and compliance needs are met.
- Investigate, analyze, and document issues found in ETL extraction, transformation, and loading steps.
- Prepare test-related documentation covering migration steps, data movement flows, and technical decisions.
- Contribute to cloud-native data pipelines and help modernize existing data environments.
- Share ideas and feedback that improve processes, tools, and delivery efficiency.
Required skills and experience
- Strong grounding in ETL concepts, data mapping, and reconciliation.
- Hands-on ability with Python is preferred; Java or Scala exposure is also acceptable if the candidate is open to learning.
- Familiarity with cloud data ecosystems such as AWS, Azure, or GCP.
- Knowledge of data protection techniques such as tokenization and encryption.
- Clear verbal and written communication skills.
- At least 4 years of experience in data engineering or ETL development is preferred.
- Background in large-scale data migration or modernization programs is an advantage.
- Comfort working in a collaborative team setting and adapting to shifting priorities.
Eligibility
Any graduate can apply.