| SENIOR DATA ENGINEER CLOUD :: Chicago, Illinois(Hybrid) at Chicago, Illinois, USA |
| Email: [email protected] |
| Please share resume at [email protected] Role:- SENIOR DATA ENGINEER CLOUD Location: Chicago, IL Onsite Hybrid (local only) 6 months Client: Large Hospitality Company As a Senior Cloud Data Engineer, you will work on the creation of Enterprise Data Platform. As a valued member of Data Platform Architecture team, you will work on shaping and building new analytical solutions to deploy in support of our internal clients Youll help to create solutions to drive the next wave of innovation. Youll recommend tools and capabilities based on your research of the current environment and knowledge of various on-premises, Cloud-based, and hybrid resources. Youll work with our engineering, architecture, and migration teams to inform strategy and architecture design. This is an opportunity to stay on top of the latest Cloud resources as you lead efforts to prototype using multiple techniques and new technologies. Youll be able to broaden your skillset into areas like automation, scripting, and containerization while developing critical systems for several of our internal clients. Join our team as we transform the way we manage data and information by taking advantage of Cloud technology. You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data. We are looking for highly motivated AWS expert who excited about leveraging his skills and his strategic ideas to improve mission execution, who is passionate about creating an amazing user experience that delights end-users and makes their jobs easier. This candidate builds fantastic relationships across all levels of the organization and is recognized as a problem solver who looks to elevate the work of everyone around them. - Design and develops enterprise data solutions based on architecture and standards leveraging leading architecture practices and advanced data technologies. - Implement solutions for data migration, data delivery and ML pipelines. - Implement Identity Access Management Roles and policies. - Build resilient, reliable, performant and secure Data Platform and Applications. - Work closely with application development and data engineer teams on day-to-day tasks along with project planning and implementation. - Automate deployments of AWS services and BI Applications. TECHNICAL QUALIFICATIONS: - 6+ years of experience within the field of application/platform engineering or related technical work including business intelligence, analytics. - 4+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards. - Experience with data warehousing platforms such as Snowflake, Redshift or similar. - Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups. - Experience with DB technologies (e.g., SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, Redis). - Experience with CI/CD tools, pipelines, and scripting for automation. (GitHub Actions, Jenkins, AWS Code Pipeline tools, Cloud formation and Terraform). - High degree of knowledge in IAM Roles and Policies - Strong knowledge configuring AWS cloud monitoring and alerts for cloud resource availability. - Strong scripting experience using PowerShell and/or Python. - High degree of knowledge in PaaS and SaaS application performance. - Understand enterprise level application architecture diagrams and IT security requirements. ADDITIONAL QUALIFICATIONS: - Experience and comfort solving problems in an ambiguous environment where there is constant change - Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners - Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business - Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders - Rigorous attention to detail and accuracy. - Demonstrate d ability to troubleshoot technical problems and issues. - Passionate about programming and learning new technologies. - Experience planning and executing on-premises to AWS migrations - BA or BS degree Computer Engineering, Computer Science, or related fields. - Strong verbal and oral communication. PREFERRED EXPERIENCE: - Experience with large scale enterprise streaming services such as Kafka. - Experience with Kubernetes and Docker containers or AWS Fargate. - Experience implementing applications with both Windows and Linux server OS - Experience with networking, security groups, or policy management in relation to Cloud resources across multiple operating systems, including UNIX, Linux, or Windows - Advance CS degree. Thanks and Regards!! Akashika Pandey Technical Resource Specialist Ace Technologies Inc 2375 Zanker Road, Suite 250, San Jose, CA 95131 Phone: 1-408-617-7200 | Extn 4286 | Email ID/Hangout : [email protected] ------------------------------------------------------------------------------------------------------- Reporting Manager: Manish Sharma| Email ID : manish @acetechnologies.com | Phone: 1-408-617-7200 Ext 4298 Escalations : [email protected] Note: We respect your Online Privacy. This is not an unsolicited mail. Under Bills.1618 Title III passed by the 105th U.S. Congress this mail cannot be considered unsolicited as long as we include Contact information and a method to be removed from our mailing list. If you are not interested in receiving our e-mails then please reply with a "REMOVE" in the subject line to [email protected] and mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mails to you. We are sorry for the inconvenience -- Keywords: continuous integration continuous deployment business analyst machine learning business intelligence sthree database information technology California Idaho Illinois SENIOR DATA ENGINEER CLOUD :: Chicago, Illinois(Hybrid) [email protected] |
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| Wed Aug 28 20:53:00 UTC 2024 |