Hi
This is Aravinnd, - Recruitment Team from MSR Cosmos
We have an urgent requirement as follows:
Please respond with resumes in MS-Word Format with the following details to aravind@msrcosmos.com
Full Name :
Location :
Relocation :
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Email :
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Last 4 digit SSNO :
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D O B :
Years of Exp :
Requirement Details
Position: Sr. Data Engineer
Full time with client
Remote
Client Loc: SF, CA
Responsibilities:
● Responsible for the development of a highly complex Data & Analytics Platform that requires in-depth knowledge across multiple specialized architecture domains such as Cloud, Global Edge, Big Data technologies and modern open-source technology stacks
● Ensure data science teams have tools and data structures that support various ML and DataOps efforts
● Deliver data stewardship for incoming and existing data (EHR, Claims, Proteomic,…)
● Support distributed computing and other scalability approaches to big data initiatives
● Manage, maintain, and monitor ETL pipelines
● Deliver monitoring solutions for ML solutions in production and establish maintenance workflows for model refresh and updates
● Set up the development of data platforms that are service-oriented with reusable components across the client digital platform
● Helping the business understand what value can be derived from data, and contributing to data acquisition strategy in order to deliver business needs
Preferred Experience:
● Extensive experience in Cloud technologies, specifically with AWS services
● 8+ years experience in the architecture/design of highly scalable "big data" lakes and warehouses
● Experience in building data governance and security in data lake, implementing data catalog solutions
● 2+ years experience in a regulated industry, ideally healthcare or medical, dealing with PII and/or PHI.
● Experience with complex data structures and infrastructures with high level of controls to ensure data privacy
● Experience with Domo or other BI tools
● In-depth knowledge of:
• Transactional SQL, data integrity and other RDBMS considerations
• Experience with Graph data structures, Cypher query language, and graph ETL workflows
• Integration, discovery and availability of document stores (NoSQL) such as AWS DynamoDB
• Data warehousing, (Databricks, Snowflake, S3, AWS RDS)
• ETL and other integration techniques, AWS Glue, dbt
• Hadoop-based analytics, (Spark, Hive, AWS EMR)
• Supporting customer-centric business analytics
• Suitable supporting coding languages (Python, Rust, Java, C++, C, Golang, etc)
• Supporting and delivering large-scale Machine Learning initiatives and Artificial Intelligence use cases such as Image Recognition (CNN/SIANN), FFNNs.
• Cloud tools for data architectures
• ETL pipeline management (dbt, Glue Jobs, Step Functions, Airflow, Talend,…)
• Infrastructure as Code, prefer AWS CFTs, and Ansible
Qualities:
● Passion for Data Engineering, pioneering data technologies and architecture.
● Sense of ownership/accountability for the success of the company. Can-do attitude
● Proven understanding of and work with machine learning platforms and neural network model training
● Record of large-scale data integration and supporting a business' structured and unstructured data needs
● Comfortable in cross functional and interdisciplinary teams
● Manages context switching as priorities and objectives shift
● Conducts efforts within scope of sprints and milestones
● Understand complex business problems and provide software solutions
Qualifications:
● Minimum:
o Bachelor's Degree in Computer Science or in STEM Majors (Science, Technology, Engineering and Math).
o A minimum of 5 years of experience in Data Architecture and Engineering
o Experience (3+ years) in delivering big data platforms in a regulated industry (transport, finance, or other) to a global audience with high scalability, availability, and resilience
o Experience (2+ years) and passion to work in a fast-paced, agile engineering environment and start-up (1-20 employee size).
● Preferred:
● Master Degree or PhD in Computer Science or in STEM Majors
● Experience (2+ years) with designing and implementing a digital health data platform, while requiring compliance to regulatory environments.
● AWS certifications in big data services and/or data engineering
● Direct experience with compliance to ISO 13485, 62304, 27000, GDPR, HIPAA, FDA 510K, SaMD, 21 CFR part 11, or other industry related regulations/standards.
Stay Safe
Thanks & Regards,
Aravinnd
MSR COSMOS
6200 Stoneridge Mall Rd, Ste 300, Pleasanton, CA - 94588
Desk : 925 399 7145
Textnow : 732 574 5974
Fax : 925-219-0934
Email : aravind@msrcosmos.com
URL: http://www.msrcosmos.com
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