Big Data Platform Engineer (R-12068)
Remote - United States
Applications have closed
Dun & Bradstreet
This Role: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. *REMOTE*
Key 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) 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.
- 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 solutions. .
- Strong organization skills with high attention to detail.
- Excellent communication skills – written, verbal, presentation and interpersonal.
- Willing to learn new skills and implement new technologies.
- Able to work independently with minimal supervision.
- A thirst for knowledge, learning, and problem solving.
Key Requirements:
- Bachelor’s 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 AWS ecosystem (EMR, EC2, S3) and Google Cloud Platforms (and capabilities) is required.
- Experience with Informatica, Streamsets and Acceldata a strong plus.
- Experience in Informatica BDM, AXON & Analyst, Power BI.
- Experience in Data Analytics, SQL, Python, PySpark and Shell Script.
- Experience with working on projects in multiple technological and business environments simultaneously.
- Understanding of micro-services, web-based applications and REST APIs.
What we offer:
- Generous paid time off, increasing with tenure
- 100% paid parental leave after one year
- Paid sick time to care for yourself or family members
- Education assistance and extensive training resources
- Do Good Program: Paid volunteer days & donation matching
- Competitive 401k & Employee Stock Purchase Plan with company matching
- Health & wellness benefits, including a Gympass membership
- Medical, dental & vision insurance for you, spouse/partner & dependents
- Learn more about our benefits: https://bit.ly/2VwyKQt !
We are committed to Equal Employment Opportunity and providing reasonable accommodations to qualified candidates and employees. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to acquisitiont@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.
Tags: APIs AWS Big Data Computer Science Data Analytics Data pipelines EC2 Engineering GCP Google Cloud Informatica Pipelines Power BI PySpark Python R Security SQL Testing
Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Health care Insurance Medical leave Parental leave Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs