Data Engineer II (R-18258)
Hyderabad - India
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Dun & Bradstreet
Meet sales and marketing goals, navigate global supply chains, and mitigate credit risk with nearly two centuries of D&B business data and analytics expertise
Why We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.
This role is responsible for improving customer satisfaction and supporting revenue generation by analyzing and controlling data used for products, scoring and analytical models to lead the technical support given to trade partners, Data Operations Analysts and Trade departments globally in solving trade problems and trade related issues. Lead data ingestion project to onboard new markets or transform data sources from legacy platforms onto modern cloud environment.
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This role is responsible for improving customer satisfaction and supporting revenue generation by analyzing and controlling data used for products, scoring and analytical models to lead the technical support given to trade partners, Data Operations Analysts and Trade departments globally in solving trade problems and trade related issues. Lead data ingestion project to onboard new markets or transform data sources from legacy platforms onto modern cloud environment.
Key Responsibilities:
- Design, develop, and maintain scalableĀ data pipelinesĀ andĀ ETL processes.
- Monitor and troubleshoot data workflows to ensure data quality, availability, and performance.
- Automate manual processes and develop innovative data tools.
- Evaluate and implement recent technology solutions, end-to-end process ownership.
- Communicate with stakeholders
- Conduct knowledge exchange sessions with technical and non-technical audiences.
- Build new analytical processes, provide insight to data quality issues and implement data quality improvement processes.
- Research and implement modern data mastering techniques to increase derived insight on disparate data sources.
- Support other data engineers with design of ETL processes, code reviews, and knowledge sharing.
- Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage.
Key Skills:
- Minimum ofĀ 5 years of experienceĀ in data engineering or a related field.
- Bachelor's degree in computer science, Information Technology, or a related discipline.
- Strong proficiency inĀ SQLĀ and hands-on experience with at least one programming language such asĀ PHP, Python, or Java.
- Ability to utilize the network, applications, operating system monitoring and troubleshooting.
- Take ownership of existing applications for further development/improvements
- Work closely with related groups to ensure business continuity
- A self-motivated learner with strong customer focus and with quality
- Logical with very strong problem-solving skills
- Strong understanding of data modeling, data warehousing, and database design
- Experience with hosted environments AWS/Azure/GCP or other cloud service providers
- Analytical skills and able to perform analysis on code bases to increase performance.
- Strong team player with excellent listening and communication skillsĀ
- Fluent English written and verbal
- Results oriented, flexible with an enthusiastic approach
- Ability to respond quickly to Customer demands and market conditions.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
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Category:
Engineering Jobs
Tags: AWS Azure Computer Science DataOps Data pipelines Data quality Data Warehousing Engineering ETL GCP Java PHP Pipelines Privacy Python R Research SQL
Region:
Asia/Pacific
Country:
India
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