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Deloitte Cloud Big Data Engineer - NBI_US in Mechanicsburg, Pennsylvania

Cloud Big Data Engineer

Deloitte Consulting's Products & Solutions (P&S) practice develops products that augment our leading services practice and strike at the heart of our clients' business needs. Deloitte's commitment to innovation is inspiring our clients to new possibilities; our asset-based consulting agenda is designed to deliver tangible results in the near-term and sustainable competitive advantage for years to come.

Are you looking for an organization with startup spirit or enterprise strength? Now you can have both! We are looking for talented individuals with an innovative mindset and technical skillset to join our growing team.

Work you'll do

As a Cloud Big Data Engineer, you will be part of a team building, implementing, and administrating a leading-edge data center cloud to support Innovation products and solutions. The responsibilities include architecting the cloud, network, installing, maintaining, and supporting the tools, products, and infrastructure to meet the demands of a fast-growing cloud-based software business including:

  • Provide Cloud Native Data Support operations which includes patching, monitoring, communications within the organization.

  • Provision, monitor, and maintain AWS Redshift, EMR, Glu, Mongo DB, EKS and RDBMS Databases like MYSQL/PostgreSQL.

  • Troubleshoot connectivity and performance issues.

  • Enhance existing automation environments and streamline development to production operations or drive new automation initiatives with respect to Big Data.

  • Participate in cross-functional teams' collaboration and help debug Database issues.

  • Collaborate and communicate with senior leadership and clients

Deloitte Innovation & Platforms is an organization within Deloitte Consulting with the goal of building a culture of continuous innovation to drive profitable revenue through the identification, incubation, and actualization of breakthrough ideas in assets-based client offerings. The Cloud Hosting Infrastructure Team architects, deploys, and supports the cloud environments through the entire project lifecycle.

Qualifications

Required:

  • 5+ years of experience with AWS Database Native tools.

  • Expert level experience with the Deployment and troubleshooting of Amazon EMR

  • Expert level experience with the Deployment and troubleshooting of Amazon Redshift and Glue.

  • Hands-on knowledge with AWS services like EC2, EBS, S3, Cloudwatch, Cloudformation, RDS, Athena, Lambda, Autoscaling and VPC.

  • Experience in setting up Cluster and configuring Multi node Redshift Cluster.

  • Experience in supporting Mongo DB, MYSQL/PostgreSQL.

  • Expertise on cluster maintenance tasks such as Add, Remove, and Rebalance nodes in a cluster using cluster management tools.

  • Experience in security aspects of AWS Cloud native tools such as File based ACLs, Kerberos, SSL and encryption, integration with AD/LDAP.

  • Experience in Backup and Recovery procedures with AWS native tools.

  • Experience in troubleshooting performance issues with AWS native tools L2/L3 and advanced ticket handling capabilities independently.

  • Must be authorized to work in the United States without need for sponsorship now or at any time in the future.

Nice to Have:

  • Experience on GCP services like Big Query storage, Cloud Big table, Cloud Storage etc.

  • Experience with SDLC tools (Atlassian tools, JIRA, etc.)

  • Spark

  • Python

#NBI22

#NBI_I&P

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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