Data Engineer - L1 - L4
India - Gurgaon
Rackspace
As a cloud computing services pioneer, we deliver proven multicloud solutions across your apps, data, and security. Maximize the benefits of modern cloud.
Data Engineer -I - IV- INExp 2 Yrs - 20 YrsWork Timings -24x7 (IST) Work Location – Remote Top Skills: Technical :: Tableau, Tableau bridge server, Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI ITSM Process: ITIL/Ticketing tool Soft Skills: Good communicator/orator Job Description SummaryWork Timings - 24x7 (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 Provides Level 2 operational coverage: • 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 / Entitlements • 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.
• 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 databricks/AWS/tableau 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 4-8 years of hands-on experience in configuring and managing AWS/tableau and databricks solution. Experience with Databricks and tableau 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
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 Provides Level 2 operational coverage: • 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 / Entitlements • 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.
• 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 databricks/AWS/tableau 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 4-8 years of hands-on experience in configuring and managing AWS/tableau and databricks solution. Experience with Databricks and tableau 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: AWS Computer Science Databricks dbt ITIL Power BI Research Security SQL SSIS Tableau
Region:
Asia/Pacific
Country:
India
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