Senior Software Engineer - (R-15159)

Hyderabad - India
Technology /
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 6,000+ 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!

Brief Description:  Data Platforms Engineering team is looking for an experienced Cyber Security Analyst with a strong passion for Software engineer and a burning desire to learn.
This individual will participate in Data Engineering and Software Engineering solutions that contributes to D&B’s Data Supply Chain Systems.
We are looking for coders who have experience working with real world data and are comfortable with statistical analyses.
We seek motivated self-starters and team players who are eager to collaborate, learn new things, and go the extra mile for our internal and external clients.

Essential Key Responsibilities/Job Summary
Defines strategies to drive data quality measurement, produce data quality dashboards and reports, and implement data quality strategies to effectively govern data and improve data quality
Design, develop and maintain scalable data transformation pipelines, complex customer use-cases
Serve as a technical expert on the design and architecture of new Data Quality platform
Work closely with Product Owners and Architects to understand requirements, formulate solutions.
Assist stakeholders with data-related functional and technical issues
Perform root cause analysis for technically complex issues with the goal of resolving the problem
Provide documentation and training on the use and support new Data Quality/Data Supply Chain platform to other internal teams as necessary
Lead and coordinate the team to ensure there is a focused customer delivery

Education/Experience and Competencies
Minimum 7 to 10 years of experience working with/on data warehouses, data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structuresMust have strong development skills in the following areas/languages.
Python – Required
Spark – Required
Cloud Services – AWS/GCP– Required (GCP Preferred) – Bigquery, GKE, Dataproc, and other key Google services.

Good understanding of CI/ CD stack including build/deployment tools like Jenkins, SCM (GIT, Bitbucket), Maven is a plus
Experience in complex Data formats like XML & JSON and transforming the data within the same
Deep understanding of benefits and drawbacks of different design, architectural and integration patterns
Optimize solutions (ETL / data pipelines) to balance performance, functionality, cost, and other operational requirements
Define and promote best practices and standards for code management, automated testing, and deployments
Good Knowledge and experience on any RDBMS

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