Role: Cloud Data Engineer
Location: Edison, NJ (Day one Onsite)
Rate: $75/hr Max
The Senior Cloud Data Engineer will work with Predictive Health team members to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform. This position will require working with Agile and DevOps techniques and implementation approaches in the delivery of data products and services for CLIENT.
Responsibilities
A day in the life of a Senior Cloud Data Engineer at CLIENT includes:
Lead the design of a cloud-based data infrastructure on Google Cloud Platform.
Liaise and be part of the CLIENT GCP community, contributing in the knowledge exchange on the platform.
Assist with the development of end-to-end data pipelines: from data collection and cleaning, to supporting experimentation with predictive models, to re-integration of predictive results.
Effectively manage several projects simultaneously, with minimal supervision, potentially coordinating third-party vendor support.
Apply project management methodologies and software to ensure on-time delivery.
Develop and mentor more junior colleagues.
May perform other responsibilities as assigned. Responsibilities and duties may change when circumstances dictate (e.g., emergencies change in workload, rush jobs or technical developments).
Qualifications
Education, Knowledge, Skills and Abilities Required:
Bachelor’s Degree in science, Mathematics, Engineering, or Statistics or related quantitative STEM field.
5 + years of experience in analysis, advanced statistical analysis or predictive analytics.
3+ years of hands-on experience with cloud data engineering.
Experience working in a healthcare environment and familiarity with healthcare data types (e.g., HL7, FHIR, claims).
Demonstrated understanding of Google Data Products, e.g.:
BigQuery
Dataflow
Dataproc
Looker
Cloud Data Fusion
Dataprep
Familiarity with developing data pipelines for predictive services.
Proficiency is developing CI / CD pipelines.
Extensive experience using Python and R.
Experience in Spark (Scala/Python/Java) and Kafka.
Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
Experience with SQL and NoSQL modern data stores.
Experience with Oracle GoldenGate replication in GCP.
Ability to explain to internal and external stakeholders opportunities and / or limitations of data within the organization.
Experience with project leadership overseeing a team of technical experts, with a demonstrated ability for time management and mentorship.
Education, Knowledge, Skills and Abilities Preferred:
Advanced Degree in Science, Mathematics, Engineering, or Statistics or related quantitative STEM field.
Experience working with AI / ML in the healthcare environment.
Licenses and Certifications Preferred:
Professional Google Data Engineer certification.
Project Management Institute (PMI) certification.
Additional Competencies
Effectively communicates to executive stakeholders and provides advisory support as needed.
Proven ability and desire to learn and apply new software, technologies and techniques.
Exceptional written and verbal communication skills, including a proven ability to effectively communicate ideas and insights to both technical and non-technical teams.
Ability to develop project plans, roadmaps and requirements.
Coordinates and manages project team activities, communicates changes and progress.
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Raghavan Arulalan.
Nityo Infotech Corp.
Mail: