Dun & Bradstreet
business decisioning data and analytics
SeniorBigDataEngineer
“Senior Big Data Engineer at Dun & Bradstreet. Skills: Big Data, ETL/ELT, Cloud Platforms, Python. Design, build, deploy, and document scalable data pipelines. Develop ETL/ELT pipelines”
What You'll Achieve.
Ensure SLA adherence
Industry & Context.
What They're Looking For.
Must Have
Minimum 8 years of experience in ETL/ELT technologies, 4+ years of hands-on experience with big data technologies such as Databricks and Apache Spark, Minimum 6 years of experience working with cloud platforms, preferably GCP, programming expertise in Python, Experience with relational databases and complex SQL development, Experience with access control mechanisms such as role-based and attribute-based access, Hands-on experience managing and deploying cloud-based solutions
Nice to Have
Exposure to NoSQL and graph databases is a plus, Familiarity with BI tools such as Tableau, Power BI, or Looker, Experience working in a global environment and DevOps model is an advantage
What You'll Do.
and document scalable data pipelines
Develop ETL/ELT pipelines
Work with data lake architectures
Build and optimize data solutions
Develop high-performance solutions
Work with cloud infrastructure
Design and manage relational databases
Implement workflow scheduling and orchestration
Manage big data clusters
Create detailed design documents
Collaborate with platform and infrastructure teams
Manage multi-tenant environments
Participate in planning
Participate in data science initiatives
Participate in continuous platform improvement
How You'll Work.
Team & Collaboration
Collaborate with platform and infrastructure teams
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