Hi , Hope you are doing great. As discussed please go through the below position, if you are comfortable share the below required details along with your DL and Visa Copy ASAP Perficient Health Sciences is looking for an experienced Advanced Architect for the role of AWS / Hadoop Administrator (with Cloudera) to implement a hybrid Big Data solution. The candidate must be local to Boston/willing to relocate. Perficient is on a mission to help the Healthcare industry take advantage of modern data and analytics architectures, tools, and patterns to improve the quality and affordability of care. This is an excellent opportunity for the right individual to assist Perficient and its customers to grow the capabilities necessary to improve care through better use of data and information, and in the process take their career to the next level. Responsibilities: - Design and implement a hybrid Big Data solution using Cloudera and AWS in a highly-regulated, secure environment.
- Develop a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels with an emphasis on proper security and data governance best practices.
- Administer Hadoop and Spark cluster environments with Cloudera’s distribution on-premise is required as well as experience in administering a hybrid environment.
- Provide support to Data Engineering teams on deployment of Hadoop/Spark jobs, work with IT Operations and Information Security teams on monitoring and troubleshooting of incidents to maintain service levels and coordinate with Vendor teams on installation, bus fixes, upgrades and escalations.
- Benchmark systems and analyze system bottlenecks in a hybrid environment and propose solutions to eliminate them.
- Research and provide recommendations on automating administration tasks and contribute to the evolving systems architecture to meet changing requirements for scaling, reliability, performance and manageability.
Qualifications: - Design and implement a hybrid Big Data solution using Cloudera and AWS in a highly-regulated, secure environment.
- Develop a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels with an emphasis on proper security and data governance best practices.
- Intimate knowledge of all phases of AWS infrastructure and concepts such as VPC, subnets, security groups, S3, RDS, EC2, Glacier, Lambda, IAM, security, encryption, DevOps, replication and disaster recovery.
- Extensive experience in administering Hadoop and Spark cluster environments with Cloudera’s distribution on-premise is required as well as experience in administering a hybrid environment.
- Knowledge of analytical workspaces such as Jupyter, Zepellin, RSudio as well as data science analytical methodologies.
- Familiarity with DevOps and CI/CD as well as Agile tools and processes including Git, Jenkins, Jira and Confluence.
- Provide support to Data Engineering teams on deployment of Hadoop/Spark jobs, work with IT Operations and Information Security teams on monitoring and troubleshooting of incidents to maintain service levels and coordinate with Vendor teams on installation, bus fixes, upgrades and escalations.
- You must be able to benchmark systems and analyze system bottlenecks in a hybrid environment and propose solutions to eliminate them.
- You will be responsible for researching and providing recommendations on automating administration tasks and contribute to the evolving systems architecture to meet changing requirements for scaling, reliability, performance and manageability.
Please share me your visa and dl copy also. Full Name as per Passport | | Current Location (City, State & Zip Code) | | Relocation (Y/N) | | Phone Number | | Email Id | | Linkedln ID | | Date of Birth (MM/DD) | | SSN last 4 Digits | | Highest Education & Year of Passing | | Visa Status (Attach Visa Copy) | | Validity | | Interview - Slots for next 2 days | | W2 or C2C | | Total Years of Experience | | Skype ID | | Currently on Project (Yes / No) | | Availability | | Rate | | Arun Reddy IT Recruiter (W) 312-985-0412 22260 Haggerty Rd, Suite # 285,Northville, MI 48167. www.rsrit.com | | |
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