AWS Tech Lead

1 week ago


Mississauga, Canada United Software Group Inc. - Canada Full time

Hi,

Greetings

Hope you are doing great. My name is Pradeep Chauhan and I am a Senior Technical Recruiter in United Software Group INC., an Ohio-based fast-growing multi-national IT & Engineering Consulting Company, serving its clients for the last 20 years with a staff strength of 2500 in 17 offices globally, operating across 8 countries in North America, Latin America, Asia Pacific, and Europe.

USG Inc. is aggressively recruiting for AWS Tech Lead to work on one of our direct client’s projects. Please review the job details below and if interested, feel free to reply to this email.

Job Title: AWS Tech Lead

Job Location: Mississauga (L4W 5S7) Onsite

Position Type: Contract on W2

  • Should have 7+ years of experience in architecting, designing, and implementing complex data warehousing, Data Lake, and data migration solutions end-to-end.
  • Functional experience in Health Care Logical Data Model and awareness of how healthcare manufacturing business works. Experience with LENS, Magellan, and AISphere products.
  • As a Lead Architect, facilitate techno-functional design workshops & project implementation involving AWS Architecture, Data Architecture (Data modelling LDM & PDM), Big Data Architecture, Data Engineering Architecture (Python, Spark, etc.), Data Visualization tools like Tableau, Power BI, Spotfire, ETL/ELT tools (Glue, Informatica, and Teradata ELT tools).
  • Data Management experience in large projects implementing end-to-end solutions for Data Architecture, Data Quality (Trillium, Owl DQ), Data Governance (Collibra), Data Pipeline, and Master Data Management for various big clients.
  • Hands-on experience in AWS Cloud, Big Data Lake, Data Visualization, Artificial Intelligence (AI), Agile BI, Mobile BI, and Open Data.
  • Very good experience as an MLOPS architect in a data science project with exposure to AWS SageMaker and experience in deriving machine learning use-cases starting from proposal, development, testing, and productionizing the models in AWS.
  • Work with business product owners, application teams, infrastructure teams, vendors, and data scientists to conduct Proof of Concepts (POCs), jointly evaluate and implement various data analytics and AI-related solutions.
  • Establishing and enforcing standards, processes, frameworks, tools, and best practices for process modelling, semantic modelling, and logical and physical data modelling.
  • Participate in the customer’s strategy meetings to discuss design, build, and maintenance of corporate data architecture, data management standards and conventions, data dictionaries, and data element naming standards, classification, and conventions for multiple computing environments.
  • Research and evaluate alternative solutions and recommend the most efficient and cost-effective data-related solutions for improved data integrity in AWS.

With Regards,

Pradeep Chauhan | Recruiter #J-18808-Ljbffr

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