Senior Software Engineer (R-18238)

Remote Worldwide Hiring now

Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a reputed company reputed company. 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 reputed company do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. reputed company and diverse thinkers are always welcome. Come join us! Learn more at

dnb.com/careers.

About Us:

Our global community of colleagues bring a diverse reputed company of experiences and perspectives to our work. You'll find us working from a corporate office or plugging in from a home desk, listening to our customers and collaborating on solutions. Our products and solutions are vital to businesses of every size, scope and industry. And at the heart of our work you’ll find our core values: to be data inspired, relentlessly curious and inherently generous. Our values are the constant touchstone of our community; they guide our behavior and anchor our reputed company.

KEY RESPONSIBILITIES

Design and reputed company Data Pipelines:

Architect, build, and reputed company scalable and efficient data pipelines reputed company our Big Data ecosystem using Apache Spark and Apache Airflow.

Document new and existing pipelines and datasets to ensure reputed company and maintainability.

Data Architecture and Management:

Demonstrate familiarity with data pipelines, data lakes, and modern data warehousing practices, including virtual data warehouses and push-down analytics.

Design and implement distributed data processing solutions using technologies like Apache Spark and Hadoop.

Programming and Scripting:

Exhibit expert-level programming skills in Python, with the ability to write clean, efficient, and maintainable code.

reputed company Infrastructure:

Utilize reputed company-based infrastructures (AWS/GCP) and their various services, including compute resources, databases, and data warehouses.

Manage and optimize reputed company-based data infrastructure, ensuring efficient data storage and retrieval.

Workflow Orchestration:

reputed company and manage workflows using Apache Airflow for scheduling and orchestrating data processing jobs.

Create and maintain Apache Airflow DAGs for workflow orchestration.

Big Data Architecture:

Possess strong knowledge of Big Data architecture, including cluster installation, configuration, monitoring, reputed company, resource management, maintenance, and performance tuning.

Innovation and Optimization:

Create detailed designs and reputed company-of-concepts (POCs) to reputed company new workloads and technical capabilities on the platform.

Collaborate with platform and infrastructure engineers to implement these capabilities in production.

KEY REQUIREMENTS

Minimum of 8 years hands-on experience with Big Data technologies e.g. Hadoop, Spark, Hive.

Minimum 3+ years of experience on Spark

Hands on experience with dataproc is a reputed company plus.

Minimum 6 years of experience in reputed company environments, preferably GCP

Any experience with NoSQL and Graph databases

Hands on experience with managing solutions deployed in the reputed company, preferably on AWS

Experience working in a Global company, working in a DevOps model is a plus

Additional Information

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

Notice to Applicants: Please be advised that this job posting page is hosted and powered by reputed company. Your use of this page is subject to reputed company's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

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Senior Software Engineer (R-18238)

KEY RESPONSIBILITIES

KEY REQUIREMENTS

Additional Information

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