Dun Bradstreet

Senior Data Engineer (R-16183)
Hyderabad - India
Data & Analytics / Employee: Full Time / Hybrid
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 6,500 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 Dun & Bradstreet.
Team Overview:
D&Bs Canada Data and Operations team are the owners of our Canada data supply chain. We are responsible for the quality of Canada business data and the supply chain delivering that data to customers. Our team partners with our Global Data Owners, Technology, Operations, and Sales teams to implement our Canada data improvement strategy.
We leverage technology to transform our data maintenance from a reactive, manual update process to a proactive automated data maintenance process. This transformation is a wealth of opportunity for anyone who can innovate and deliver improved data quality on a larger scale, with faster turnaround time, and higher efficiency.
The Role
The data engineer will report directly to the Data & Operations leader for Canada.
Responsibilities will be:

Work with other data engineers and SMEs to improve the overall quality of data delivered to customers
Develop data ingestion and mastering processes on new structured and unstructured data sources to synthesize new insight and enhance production database
Identification, design, and implementation of complex process improvements including redesigning current infrastructure/process for greater scalability
Automation of manual processes
Design and implementation of data mastering infrastructure to support development and production environments using AWS/GCP and MS-SQL technologies
Analysis, development, and implementation: Work independently and with the team to develop new data mastering processes to drive data quality
Operations: Ensure automated data ingestion and mastering engine operates optimally on a daily basis
Data acquisition and ingestion: Engineer collection and ingestion of new data sources into mastering environment
Infrastructure optimization and enhancements: Identify and implement efficiency improvements in our mastering environment. Manage cloud environment including migration from AWS to GCP
Building new analytical processes providing insight into data quality issues and implementation of data improvement solutions
Build processes to fetch data from open data sources, eg web sites
Research and implementation of 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
Understands security and version controls
Can use a variety of coding tools and languages (SSIS, C#, Python, Git/Bitbucket, APIs)
Migration from AWS to GCP

Required technical proficiency:

AWS or GCP certification (including cloud environment administration)
Microsoft SSIS / MSSQL (queries/procs/functions, performance tuning)
Sql Server administration (tuning, database design, and optimization)
Python / C# / NoSql

Additional beneficial experience/skills:

Technology - Graph database technology
Languages: R
Machine learning, web technologies
French language familiarity/proficiency
Data mapping from multiple data sources

Education/Experience and Competencies

Bachelors degree in computer science, data science, information systems, or other related field or equivalent work experience.
5 to 7 years work experience on large data projects defining and implementing data analysis and improvement processes in a cloud-based MS-SQL Server environment
Ability to perform root cause analysis on external and internal processes and data to identify data quality improvement opportunities
Analytical skills associated with working on large structured and unstructured datasets
Additional beneficial experience/skills Graph database technology, R, machine learning, web technologies, data mapping from multiple data sources
Strong organization skills with attention to detail
Ability to clearly communicate the problem statement and solution. Able to work independently and willing to learn new skills through independent learning

Internally this job is titled as Senior Analyst
All Dun & Bradstreet job postings can be found at Dun & Bradstreet Careers and Dun & Bradstreet Jobs. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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