Solutions Data Architect AWSFabric

Hello

This is Mukesh from METASIS Information systems. I came across your resume on a job board and thought you would be a perfect match for a job opportunity I have with my client. Please find the job description below and let me know your interest.

Role: Solutions Data Architect (AWS/Fabric)

Location: Atlanta GA/Richmond VA/Mason OH (Hybrid 3 Days to be Onsite from Day 1)

Duration: 12 Months contract to hire W2

Job Description

Experience Required (Must have):
Experience in technical leadership in architecture design and engineering in the modernization of legacy Data Ingestion ETL and databases to new technologies in the Public Cloud (AWS) and Big Data Space
Strong understanding across any of the Cloud (AWS) and its components (compute storage data serverless compute) to deliver end toend ETL and infrastructure architecture solutioning for the clients
Experience in defining technical direction and roadmap for Cloud migrations and managing the implementation and big data technical solutions.
Good experience in Lambda Glue EMR and Redshift for Data warehousing.
Experience in designing development or maintenance of a big data application.
Produce solutions that are models of performance scalability and extensibility.
Can create proof of concepts demos and/or scripts from scratch or leveraging reusable components.
At least 5 years of experience in Data warehousing and designing solutions on Modern Data Lake.
At least 5 years of Experience with major Big Data technologies and frameworks including but not limited to Hadoop Apache Spark Hive Kafka HBase/MongoDB.
Good Knowledge in Microsoft fabric
Practical expertise in performance tuning and optimization
Experience work on Production grade projects with Terabyte to Petabyte size data sets.
Experience reviewing and implementing DevOps and Agile standards and practices.

Secondary skills (Good to have):
Proficiency in any of the programming languages: Scala Python or Java
Good to have knowledge on working with Presto.
Must have conceptual knowledge of Data Lake and ETL
Experience in cloud data warehouses like a snowflake.
Hands on Experience with Spark (Python/Scala) SQL.
Good analytical and problemsolving skills for design creation and testing of programs.
Good communication skills to interact with team members support personnel and provide technical guidance and expertise to customers and management.
Good interpersonal skills to interact with customers and team members.
Should be ready to explore or work with Cloud technologies.
Ability to work in a selfdirected work environment.
Ability to work in a team environment.

Roles & Responsibilities:
Total Experience: 15 years
Propose solution architectures and manage the deployment of cloud based big data and analytics solutions according to complex customer requirements and implementation best practices.
Review validate and assess clients requirements and products specifications/features.
Create the required artifacts (design document diagrams STTM HLD LLD etc.)
Architect design and implement data solutions in the Public Cloud (Azure/AWS) and Big Data Space
Work closely with customer and internal teams to gather business and technical requirements.
Develop a point of view capture prioritize and analyze technical (functional and nonfunctional) requirements
Apply Architectural Methods Techniques and Best Practices.
Educate mentor and coach teams in applying architectural techniques
Successfully lead Customers migration and transformation projects.

Total Experience: 15 years
At least 5 years of experience in Data warehousing and designing solutions on Modern Data Lake.
At least 5 years of Experience with major Big Data technologies and frameworks including but not limited to Hadoop Apache Spark Hive Kafka HBase/MongoDB.
Strong understanding across any of the Cloud (AWS) and its components (compute storage data serverless compute) to deliver end toend ETL and infrastructure architecture solutioning for the clients
Experience in defining technical direction and roadmap for Cloud migrations and managing the implementation and big data technical solutions.

Thanks & Regards

Mukesh Kumar Singh

Sr. Lead Technical Recruiter

Metasis Information Systems

(a Everify Company)

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