Dun Bradstreet

** Data Engineer I (R-16185)**
Location: Hyderabad - India
Department: Data & Analytics
Employment Type: 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 Website.

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 include:

Work with our data and operations team 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 the production database
Identification, design, and implementation of process improvements, including redesigning the current infrastructure/process for greater scalability
Automation of manual processes
Building required infrastructure to support development and production environments using AWS, S3, GCP, No Sql, and SQL technologies
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, e.g., websites

Education/Experience and Competencies

Bachelors degree in computer science, data science, information systems, or other related field or equivalent work experience
3 years of work experience on large data projects defining and implementing data analysis and improvement processes in an 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
Required technical proficiency - Microsoft SSIS and SQL Server, Python, C#, writing and tuning SQL queries, stored procedures, and functions
Additional beneficial experience/skills Graph database technology, AWS, GCP, No SQL, SQL Server administration, R, machine learning, web technologies, data mapping from multiple data sources
Strong organization skills with attention to detail
Ability to clearly communicate problem statements and solutions
Able to work independently and willing to learn new skills through independent learning

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

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