Data Engineer

Dun & Bradstreet

Data Operations Analyst managing end to end operational management of cloud data platform at Dun & Bradstreet. Collaborating on data ingestion, analysis, and governance practices within an agile team.

Posted 7/4/2026full-timeHyderabad • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPandasPythonSeleniumSQL

About the role

Key responsibilities & impact

Responsible for the end to end operational management of cloud data platform, adhering to required data management and governance practices
Create & manage data ingestion & extraction, including web data collection via python, API integrations, batch file deliveries among others.
Lead the business decision-making by retrieving aggregating datasets from multiple sources into actionable format and tools
Manage the provision of data sets and tools for business data analysis and analytics
Develop a variety of database query and visualization tools to identify and understand platform issues or events
Provide technical expertise in extraction, integration, and analysis of critical data
Own test case scenarios, prepare test data and perform Data Ops User Acceptance testing as platform functionality evolves.

Requirements

What you’ll need

Bachelor’s degree in data science, Information Systems, Computer Science, Mathematics, or a related field.
3+ years of experience in a Data Operations, Data Analyst, or similar role.
Strong proficiency in Python and SQL and experience with data ingestion and collection tools/libraries such as Pandas, Selenium, Beautiful Soup, and Scrapy.
Knowledge of DataOps methodologies and best practices.
Experience with cloud-based data processing, preferably Google Cloud Platform (GCP).
Strong data analysis skills with the ability to derive insights and support data-driven decision-making.
Experience with data ingestion methods including web data collection, FTP, APIs, and file-based delivery.
Solid understanding of data transformation processes and complex data structures and experience working in Agile/Scrum environments.
Strong analytical, problem-solving, and quantitative skills with a good understanding of business data.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Dun & Bradstreet Website LinkedIn All Job Openings 5001 - 10000 employees Founded 1841 🤝 B2B 🏢 Enterprise 💸 Finance B2B
Enterprise
Finance Dun & Bradstreet is a global provider of business decisioning data and analytics. They offer comprehensive information on businesses, providing insights and intelligence to facilitate commercial credit decisions, B2B marketing, and supply chain management. Their services are designed to help companies make informed decisions by offering a vast database of commercial data from around the world. Dun & Bradstreet is widely recognized for its Data Universal Numbering System (DUNS number), which is used to identify businesses globally. Data Engineer 🔥 46 minutes ago 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Cloud Google Cloud Platform Pandas Python Selenium SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Responsible for the end to end operational management of cloud data platform, adhering to required data management and governance practices
Create & manage data ingestion & extraction, including web data collection via python, API integrations, batch file deliveries among others.
Lead the business decision-making by retrieving aggregating datasets from multiple sources into actionable format and tools
Manage the provision of data sets and tools for business data analysis and analytics
Develop a variety of database query and visualization tools to identify and understand platform issues or events
Provide technical expertise in extraction, integration, and analysis of critical data
Own test case scenarios, prepare test data and perform Data Ops User Acceptance testing as platform functionality evolves. 🎯 Requirements
Bachelor’s degree in data science, Information Systems, Computer Science, Mathematics, or a related field.
3+ years of experience in a Data Operations, Data Analyst, or similar role.
Strong proficiency in Python and SQL and experience with data ingestion and collection tools/libraries such as Pandas, Selenium, Beautiful Soup, and Scrapy.
Knowledge of DataOps methodologies and best practices.
Experience with cloud-based data processing, preferably Google Cloud Platform (GCP).
Strong data analysis skills with the ability to derive insights and support data-driven decision-making.
Experience with data ingestion methods including web data collection, FTP, APIs, and file-based delivery.
Solid understanding of data transformation processes and complex data structures and experience working in Agile/Scrum environments.
Strong analytical, problem-solving, and quantitative skills with a good understanding of business data. 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 Staff Product Manager – Technical, AI/ML, Data & Audience Platform 🔥 19 hours ago Warner Bros. Discovery 10,000+ employees 📱 Media 📡 Telecommunications Website LinkedIn All Job Openings Senior Staff Product Manager defining AI roadmap for Data & Audience Platform at Warner Bros. Discovery. Leading cross-functional collaboration and driving measurable business outcomes. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Data Engineer II 🕒 Yesterday Syneos Health 10,000+ employees 🧬 Biotechnology 💊 Pharmaceuticals ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Data Engineer II at Syneos Health providing technical guidance throughout the solution lifecycle. Developing scalable cloud solutions for Big Data Platforms, optimizing data pipelines, and resolving complex issues. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Cloud NoSQL Data Engineer 🕒 2 days ago StarRez, Inc. 201 - 500 ☁️ SaaS 🏠 Real Estate Website LinkedIn All Job Openings Data Engineer building and scaling data pipelines for analytics at StarRez. Collaborating with cross-functional teams to implement robust data solutions. 🏢🏡 Hyderabad – Hybrid 💰 Private Equity Round on 2022-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Airflow Azure Cloud ETL SQL AI Data Engineer 🕒 3 days ago Thomson Reuters 10,000+ employees 💸 Finance 📱 Media ☁️ SaaS Website LinkedIn All Job Openings AI Data Engineer designing and developing data transformation initiatives for customer data platforms. Focusing on enhancing customer experiences and managing complex data solutions at Thomson Reuters. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Cloud Python SQL Data Engineer 🕒 5 days ago Capgemini 10,000+ employees 🏢 Enterprise 🤖 Artificial Intelligence 🔒 Cybersecurity Website LinkedIn All Job Openings Data Engineer responsible for reporting and analytics solutions at Capgemini. Developing datasets and data pipelines for AI/ML use cases across cloud and on-premises platforms. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer Cloud SQL View More Data Engineer 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 Find jobs using your resume 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

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Hard Skills & Tools

Data IngestionData ExtractionDatabase Query DevelopmentData Visualization ToolsData Transformation ProcessesComplex Data StructuresWeb Data CollectionAPI IntegrationsBatch File DeliveriesUser Acceptance Testing

Soft Skills

Analytical SkillsProblem-Solving SkillsQuantitative Skills