Dun & Bradstreet is looking for a Data Developer/Engineer to join our Technology team. You will be part of a group responsible for designing, implementing, maintaining and supporting Data & Analytics Platform applications. The role will leverage modern processes and tools in ensuring highest quality data in the Dun & Bradstreet Data Supply Chains.
Responsibilities:
Hands-on programmer developing data pipelines in Spark and Python
Experience in working in cloud platforms like AWS/GCP
Focus in more on the programming skills
Collaborate with project teams (solution architects, business, QA and project management) to ensure solutions meet business objectives and fall within timelines and acceptance criteria
Participate in testing of prototypes & validate test procedures to ensure that they are applicable to the design
Application support/ bug fixes / QA
Perform root-cause analysis (RCA) of complex issues ranging from hardware, operating system, application, network, and information security platforms while working closely with various infrastructure teams and business users to quickly arrive at creative, tactical and long-term solution
Requirement:
Bachelors degree in computer science, information systems, or other related field or equivalent work experience
5+ years of high-tech industry and/or IT work experience in Big Data project hands on development and solution engineering roles
Experience with Cloud ecosystem (Managed Spark like EMR/DataProc, Serverless function, Orchestration tools like airflow) is required
Strong programming skills (Python preferred)
Experience with working on projects in multiple technological and business environments simultaneously
A thirst for knowledge, learning, and problem solving
Strong organization skills with high attention to detail
Able to work independently with minimal supervision
Excellent communication skills written, verbal, presentation and interpersonal
Willing to learn new skills and implement new technologies