Data Engineer III-IV

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July 15

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Rackspace Technology

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SaaS • Cloud

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• Leads Level 4 operational coverage: Resolving pipeline issues / Proactive monitoring for sensitive batches / RCA and retrospection of issues and documenting defects. • Design, build, test and deploy fixes to non-production environment for Customer testing. Work with Customer to deploy fixes on production upon receiving Customer acceptance of fix. • Cost / Performance optimization and Audit / Security including any associated infrastructure changes. • Troubleshooting incident/problem, includes collecting logs, cross-checking against known issues, investigate common root causes (for example failed batches, infra related items such as connectivity to source, network issues etc.) • Knowledge Management: Create/update runbooks as needed. • Governance: Watch all the configuration changes to batches and infrastructure (cloud platform) along with mapping it with proper documentation and aligning resources. • Communication: Lead and act as a POC for customer from off-site, handling communication, escalation, isolating issues and coordinating with off-site resources while level setting expectation across stakeholders. • Change Management: Align resources for on-demand changes and coordinate with stakeholders as required. • Request Management: Handle user requests – if the request is not runbook-based create a new KB or update runbook accordingly. • Incident Management and Problem Management, Root cause Analysis, coming up with preventive measures and recommendations such as enhancing monitoring or systematic changes as needed.

🎯 Requirements

• Requires a Bachelor’s degree in computer science or other related field plus 10+ years of hands-on experience in configuring and managing AWS/tableau and databricks solutions. • Experience with Databricks and tableau environment is desired.