Data Engineer III
Job Summary
Job Description
- Manage and operate Tableau, Tableau bridge server, Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI.
- Resolve pipeline issues and proactively monitor sensitive batches.
- Perform RCA and retrospection of issues, documenting defects.
- Design, build, test, and deploy fixes to non-production environments.
- Work with customers to deploy production fixes upon acceptance.
- Optimize cost/performance and ensure audit/security, including infrastructure changes.
- Create/update Knowledgebase/runbooks as needed.
- Monitor configuration changes to batches and cloud infrastructure.
- Lead customer communication, escalation, and issue isolation.
- Coordinate with off-site resources and manage stakeholder expectations.
- Align resources for on-demand changes and coordinate with stakeholders.
- Handle user requests and update runbooks as needed.
- Perform Incident Management, Problem Management, and Root Cause Analysis.
- Develop preventive measures and recommendations for monitoring/systematic changes.
- Proficiency in SQL and stored procedures.
- Experience in configuring, managing, and troubleshooting data analytics solutions.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to communicate technical information clearly.
- Ability to work and promote inclusiveness in small groups.
- Extensive problem-solving skills to research, determine root cause, and resolve issues.
- Ability to prioritize issues and multi-task.
- Bachelor’s degree in computer science or related field.
- 8-12 years of hands-on experience in configuring and managing Azure data analytics solutions.
- Adhere to company security policies and procedures.
- Experience with Azure environment is desired.
8 skills required
Job Details
Work Timings - Rotational Shifts (IST)
Work Location - Remote
Job Description Summary
The Data engineer is responsible for managing and operating upon Tableau, Tableau bridge server, Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI. The engineer will work closely with the customer and team to manage and operate cloud data platform.
Job Description
Leads 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
• Knowledge Management: Create/update Knopwledgebase/ 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 on-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.
• KNOWLEDGE/SKILLS/ABILITY: Good hands on Tableau, Tableau bridge server, Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI. Ability to read and write sql and stored procedures. Good hands on experience in configuring, managing and troubleshooting along with general analytical and problem solving skills. Excellent written and verbal communication skills. Ability to communicate technical info and ideas so others will understand. Ability to successfully work and promote inclusiveness in small groups.
• JOB COMPLEXITY: This role requires extensive problem solving skills and the ability to research an issue, determine the root cause, and implement the resolution; research of various sources such as microsoft documentation that may be required to identify and resolve issues. Must have the ability to prioritize issues and multi-task.
• SUPERVISION: Works under moderate supervision.
• EXPERIENCE/EDUCATION: Requires a Bachelor’s degree in computer science or other related field plus 8-12 years of hands-on experience in configuring and mangaing azure data analytics solution. Experience with Azure environment is desired.
• PHYSICAL DEMANDS: General office environment. No special physical demands required. Schedule flexibility to include working a weekend day regularly and holidays as required by the business for 24/7 operations. Occasional travel, less than 10%.
• POLICY COMPLIANCE: Responsible for adhering to company security policies and procedures and any other relevant policies and standards
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