- Collaborate with the data, platform, QA, and DevOps teams to design and construct advanced systems for processing, analyzing, searching, and visualizing vast datasets.
- Architect resilient systems and write highly fault-tolerant software to consistently deliver high-quality results.
- Take initiative to become familiar with existing application code and achieve a complete understanding of how the applications function.
- Pioneering novel methods for extracting intelligence from a wide array of unique data sources.
- Generate fresh insights for our clients, provide novel perspectives on their markets.
- Co-create and document data processing systems that are easy to maintain, fostering collaborative and supportive team environment.
- Help maintain existing systems, including troubleshooting and resolving alerts.
- Be a good collaborator with your peers. Be easy to get ahold of and attend all required meetings.
- Share ideas across teams to spread awareness and use of frameworks and tooling.
- Share a friendly, supportive, and reliable attitude with a great team that hold each other accountable.
- Extensive experience working with GCP services, including Big Query, Dataflow, Pub/Sub, Cloud Storage, Cloud Run, Cloud Functions and related technologies is required.
- Extensive experience with SQL and relational databases, including optimization and design.
- Expertise in containerized infrastructure and CI/CD systems, including CloudBuild, Docker, Kubernetes, and GitHub Actions.
- Testable and efficient Python coding for data processing and analysis.
- Experience with Amazon Web Services (EC2, RDS, S3, Redshift, EMR, and more).
- Experience with OS level scripting (bash, sed, awk, grep, etc.).
- Experience in AdTech, web cookies, and online advertising technologies.
- Familiarity with parallelization of applications on a single machine and across a network of machines.
- Experience with version control (GIT/Github/BitBucket) and Agile Project Management tools (Clickup/Jira/Confluence).
- Experience with object-oriented programming, functional programming a plus
- Analytic tools and ETL/ELT/data pipeline frameworks a plus.
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Senior Data Engineer - Jacksonville, United States - Dun & Bradstreet
Description
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
This resource MUST be sit in our Jacksonville, Global Headquarters 2 days a week - NO 100% REMOTE
The Senior Data Operations Engineer will develop, maintain, and analyze datasets from diverse sources, including mobile and web, government agencies, web crawls, social media, and proprietary datasets, to create insights for our clients, power our platform, and create an innovative market understanding.
The Senior Data Operations Engineer will create designs and share ideas for creating and improving data pipelines and tools.
Key Requirements:
This resource MUST be sit in our Jacksonville, Global Headquarters 2 days a week - NO 100% REMOTE
Key Requirements:
This resource MUST be sit in our Jacksonville, Global Headquarters 2 days a week - NO 100% REMOTE
All Dun & Bradstreet job postings can be found at . Official communication from Dun & Bradstreet will come from an email address ending in
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