Job Details

ID #45994203
State California
City Burbank
Job type Permanent
Salary USD $120,000 - $140,000 120000 - 140000
Source Capgemini America, Inc.
Showed 2022-09-26
Date 2022-09-08
Deadline 2022-11-06
Category Et cetera
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Data Platform Engineer

California, Burbank, 91501 Burbank USA

Vacancy expired!

In this role you will collaborate with senior technical team members and developers to expand and evolve the cloud based enterprise data platform. You will act as a technical resource for AWS cloud data lake and enterprise data platform. You will design, configure and help operate the infrastructure. The ideal candidate will have experience with platforms that source data from multiple different sources, process and standardize the data and make data available securely to the business users using cloud. The candidate will triage and troubleshoot issues related to the AWS services and help optimize the configuration and use of those services. The candidate must be self-directed with ability to own and execute the platform improvement activities while collaborating with other team members and stakeholders.

  • 4-5 years of experience in cloud engineering is required
  • 4-5 years of experience in deploying and running data pipelines on Amazon Web Services (AWS) is required.
  • 6-8 years of experience moving code and data through non-production and production environments required.
  • 6-8 years of experience working in a large IT environment in support of IT service and business processes, with proven track record of driving large-scale changes.
  • 4-6 years of experience in installing, patching, updating, upgrading, and sunsetting libraries, software, and hardware required.
  • 6-8 years of experience in a hands-on mix of technical engineering, architecture, and/or development roles.
  • AWS Cloud Services: S3, CloudWatch, RDS, EMR (Hive), Glue and Glue catalog, Redshift Spectrum, EC2, VPC, Step Functions, and AWS cloud formation .
  • Experience implementing enterprise systems with security best practices and site reliability engineering principles e.g. IAM role-based security and Azure-Ad, identity and directory infrastructure.
  • Expert knowledge of AWS Cloud Data Lake/Data Platform and associated frameworks, adapters/connectors, and orchestration components.
  • Knowledge of Python, Hadoop Hive, Tuning and optimization, operations, event management, performance optimization.
  • Expert knowledge of multiple IT control and project management practices and experience working across large environments.
  • Advanced working knowledge of public cloud based solutions and application program interfaces (APIs).
  • Expertise working experience with highly segmented networks in public and private clouds.
  • Deep understanding of infrastructure automation, instrumentation, and full stack technologies.
  • SQL, IDEs, Unix, JIRA, Confluence, and monitoring tools.
  • Experience in the financial services or banking industry is preferred.
AWS Certification.

Vacancy expired!

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