Two Roles: (1) AWS Cloud Architect (2) Data Analyst at PA

(1)   Skills: AWS Cloud Architect Location: NJ and PA Duration: Long Term Interview: Telephonic   Job Description: AWS Cloud technical Architect (Primary) - Requirement Elicitation & documentation - Cloud devops and engg experience required. - Hands on experience in python scripting - Collaboration Tools (JIRA, Confluence, Stash) - AWS Experience - The AWS Cloud Engineer would need to have at least 10 years of experience. - Participate in planning, implementation, and growth of the infrastructure on Amazon Web Services (AWS) Cloud. - Experience in Pharma Life science is a must - Experience designing and building web application environments on AWS, including services such as AWS Glue, Lambda, Redshift, SQS, SNS, EC2, S3, ELB, RDS, etc. - Proficient in developing scripts and scripting languages. - A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead. - Skill and ability to train others on technical and procedural topics. - Extensive hands on experience working on Python, Pyspark, Shell scripting and SQL language -Extensive hands on experience working on Apache Airflow -Extensive hands on experience building Jenkins pipeline and integrating with artifactory as well working either on Kubernetes or Docker.   (2)   Skills: Data Analyst Location: NJ and PA Duration: Long Term Interview: Telephonic   Job Description: • Translate business needs to technical specifications • Design, build and deploy BI solutions • Maintain and support data analytics platforms including BI/Visualization environment • Excellent communication and critical thinking skills. • Good organizational skills and detail-oriented mindset. • Create tools to store data • Conduct unit testing and troubleshooting • Evaluate and improve existing BI systems • Collaborate with teams to integrate systems • Develop and execute Database queries and Conduct analyses • Create visualizations and reports for requested projects • Develop and update technical documentation • Background in data warehouse Design (e.g. dimensional modeling) and data mining • in-depth understanding of Database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework • Familiarity with BI technologies specifically in AWS Quicksight. QlikSense & Spotfire is good to have • knowledge of SQL queries as well Cloud native MPP db Experience e.g. Redshift is good to have   Thanks, Ezaz Ghanchi Primary: 908-739-3786 Ezaz@cyberthink.com

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