Job Description :
Hi All,
This is Shiva from Virtuetech Inc shiva(dot)yarra(at)virtuetechinc(dot)com
Please go-through the job description, let me know you have any consultants - below requirement.
Role : Sr Big Data Engineer with AWS Experience @ Seattle, WA. NO OPT''s
Location : Seattle, WA
Duration : 6 Months
Responsibilities include:
Design, implement and deliver complete AWS based analytical solutions.
Own the data architecture and infrastructure.
Architect, build and maintain high performing ETL processes, including data quality and testing
Define and build technical/data architecture for data warehouse, data marts and big data solutions (including data and dimensional modeling)
Research and evaluate reporting and visualization tools
Ensure scalability and high performance of the platform
Mentor and provide technical guidance and thought leadership
Establish lean data governance to drive data standards and data quality.
Be an evangelist in the company for data-informed thinking and decision making.
Requirements:
10+ years hands-on experience with designing and implementing distributed architecture systems that can handle tera bytes of data.
Expert knowledge in modern distributed architectures and compute / data analytics / storage technologies on AWS Cloud.
Hands-on working experience on AWS Redshift
Hands on experience designing, developing, and maintaining software solutions in Hadoop Production clusters.
Experience with continuous integration (CI) tools such as Junkins, nexus etc.
Experience in reporting and visualization tools
Experience in architecting and building data warehouse systems and BI systems including ETL.
Understanding of architectural principles and design patterns / styles using parallel large-scale distributed frameworks such as Hadoop and Spark;
Advanced knowledge of a programming language such as Java/Python/Scala
Experience in SQL Server BI stack (SSIS, SSAS, SSRS) is a plus
Demonstrate broad knowledge of technical solutions, design patterns, and code for medium/complex applications deployed in production on Hadoop & Spark clusters.
Outstanding analytical skills, excellent team player and delivery mindset.
Experience in performance troubleshooting, SQL optimization, and benchmarking.
Strong architectural experience in context of deploying cloud-based data solutions.
Thorough understanding of service-oriented architectures and data processing in high-volume applications. Full SDLC experience (requirements gathering through production deployment
Knowledge of working in UNIX environment creating of shell scripts