Senior Data Engineer (R-17771)
Hyderabad - India
Dun & Bradstreet
Why We Work at Dun & BradstreetDun & 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. This role will leverage modern processes and tools in ensuring highest quality data in the Dun & Bradstreet Data Supply Chains.
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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. This role will leverage modern processes and tools in ensuring highest quality data in the Dun & Bradstreet Data Supply Chains.
Responsibilities :
- 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) Google Cloud Platform, AWS, 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 and validate test procedures to ensure that they are applicable to the design.
- Perform root-cause analysis (RCA) of complex issues for 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.
Requirements :
- Experience with AWS ecosystem (EMR, EC2, S3) and Google Cloud Platforms (and capabilities) is required.
- Experience with ETL tools and Data quality/automation tools is a strong preference.
- Experience 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, and Shell Script.
- 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.
- Where applicable, fluency in English and languages relevant to the working market.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: APIs AWS Data Analytics Data pipelines Data quality EC2 Engineering ETL GCP Google Cloud Pipelines Privacy PySpark Python R Security SQL Testing
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
India
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