Senior Data Engineer (R-16948)

at  Dun Bradstreet

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! Learn more at dnb.com/careers.
Dun & Bradstreet is looking for a Senior 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.

KEY REQUIREMENTS:

• Experience with AWS ecosystem (EMR, EC2, S3) and Google Cloud Platforms (and capabilities) is required.
• Experience with Informatica, Streamsets and Acceldata a strong preference.
• Experience with working on projects in multiple technological and business environments simultaneously.
• Understanding of micro-services, web-based applications and REST APIs.
• Experience in Data Analytics, SQL, Python, PySpark, Shell Script.
• Experience in Informatica BDM, AXON & Analyst, Power BI.
• Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.

• Develop Data pipelines/Ingestion/Engineering and Analytic Application processes to business specification and technology standards that leverage/extend existing Data & Analytics platforms using a variety of Tech stack including (but not limited to) AWS, Google Cloud Platform, Informatica, Streamsets and Acceldata.
• 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.
• 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 solutions.