Data Scientist II

Conduent

. Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) .

Posted 4/21/2026full-timeHyderabad • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLPySparkSQLUnity

About the role

Key responsibilities & impact

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‑driven 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

Requirements

What you’ll need

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‑driven 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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Conduent Website LinkedIn All Job Openings 10,000+ employees Founded 2017 🤝 B2B 🛍️ eCommerce 🏛️ Government 💰 Venture Round on 2009-01 B2B
eCommerce
Government Conduent is a leading provider of technology-led solutions aimed at enhancing customer experiences and improving operational efficiency for businesses and government agencies. The company offers a wide range of services, including customer experience management, finance and accounting solutions, human capital management, integrated digital solutions, and specialized services for healthcare and public sector clients. By leveraging automation and analytics, Conduent helps organizations streamline processes and drive business success. Data Scientist II 🔥 45 minutes ago 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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‑driven 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 🎯 Requirements
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‑driven 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 Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Data Scientist – Generative AI Application Specialist 🕒 6 days ago Roche 10,000+ employees ⚕️ Healthcare Insurance 💊 Pharmaceuticals 🧬 Biotechnology Website LinkedIn All Job Openings Senior Data Scientist designing generative AI applications at Roche, leveraging extensive expertise in AI and business applications. Collaborating with teams and influencing technical priorities in a dynamic environment. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Senior Staff, Data Science & Applied AI 🕒 April 11 Warner Bros. Discovery 10,000+ employees 📱 Media 📡 Telecommunications Website LinkedIn All Job Openings Lead senior architect for Data Science & Applied AI solutions at Warner Bros. Discovery. Collaborate with cross-functional teams to design and implement scalable AI solution architectures. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Senior Staff, Data Science & Applied AI 🕒 April 11 Warner Bros. Discovery 10,000+ employees 📱 Media 📡 Telecommunications Website LinkedIn All Job Openings Senior Architect in Data Science & Applied AI, translating business challenges into scalable AI solutions for Warner Bros. Discovery. Collaborating with teams to design and govern modern AI technologies. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Senior/Principal – Manufacturing Data Scientist 🕒 April 1 Eli Lilly and Company 10,000+ employees 💊 Pharmaceuticals Website LinkedIn All Job Openings Data Scientist delivering advanced analytics and digital innovations for pharmaceutical manufacturing. Supporting compliance and decision-making through collaboration and data-driven insights in global operations. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Senior Data Scientist 🕒 March 31 Sonatype 501 - 1000 🔒 Cybersecurity ☁️ SaaS Website LinkedIn All Job Openings 🏢🏡 Hyderabad – Hybrid 💰 $80M Private Equity Round on 2018-09 ⏰ Full Time 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLELTAzure Data FactoryAzure DatabricksPySparkPower BISQLdbtAzure Event Hubdata warehousing

Soft Skills

collaborationtroubleshootingmonitoringdata governancecommunication