Data Scientist II
Conduent · Hyderabad · onsite · Posted 37d ago
Undisclosed3–7 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF)
- Configure and manage Linked Services, Datasets, and Pipelines in ADF
- Develop and optimize data transformation workflows using Azure Databricks (PySpark)
- Work across Lakehouse architecture layers (Bronze/Silver/Gold), storage accounts, Unity Catalog, and support metadata\u2011driven design (control tables, mappings).
- Strong technical expertise across Power BI, SQL, Power Platform tools, and Azure services
- Build and manage dbt models for data transformation, testing, and documentation
- Implement real-time data ingestion using Azure Event Hub
- Integrate data from multiple sources (databases, APIs, cloud storage, on-prem systems)
- Ensure data quality by implementing dbt tests and validations
- Monitor, troubleshoot, and optimize data workflows
- Collaborate with cross-functional teams to understand business data requirements
- Maintain data governance, security, and performance standards
- Strong understanding of data warehousing concepts and ELT methodologies
- Experience working with Azure Data Lake Storage (ADLS) or similar storage solutions
- Knowledge of version control (Git) and CI/CD processes
- Willing to work in production support
Sourced from naukri
Skills
data qualityapisstorage solutionsCloud Storagedata transformationeltdbtdata scientistbusiness dataData LakeDatabricksPower BiSQLData WarehousingArchitectureData GovernanceETLMicrosoft AzureGIT
About Conduent

Conduent
BPO
11.0k+
employees
2017
9 years old
Bengaluru/Bangalore, Karnataka
India
About
Conduent specializes in delivering digital business solutions across various sectors, leveraging advanced technologies to improve public and private service delivery.
Industries
BPOAnalytics & KPO
Employee ratings
3,296 reviews
3.4/ 5
Culture
3.4
Career growth
2.4
Work-life
3.7
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