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Hybrid Data Engineer II (R-18368) chez Dnb

Dnb · Hyderabad, Inde · Hybrid

Java

Python

PHP

SQL

AWS

Microsoft Excel

Cloud

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Why We Work at Dun & Bradstreet
Dun & 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.


Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines and 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:
  • 6+ years of experience in data engineering or a related field.
  • Bachelor's degree in computer science, Information Technology, or a related discipline.
  • Strong proficiency in SQL and hands-on experience with at least one programming language such as 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 skills 
  • Fluent English written and verbal
  • Results oriented, flexible with an enthusiastic approach
  • Ability to respond quickly to Customer demands and market conditions.


    • All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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