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The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer and team to manage and operate cloud data platform.
Job Responsibility:
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
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:
Bachelor’s degree in computer science or other related field
10+ years of hands-on experience in configuring and managing AWS/tableau and databricks solutions