Data Engineer I/II - IN (Databricks) (Operations/ Support)

Job Description Summary

• The Data engineer is responsible for managing and operating upon Tableau, Tableau bridge server, Databricks, Dbt, SQL, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI. The engineer will work closely with the customer and team lead   to manage and operate cloud data platform.

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.

EXPERIENCE/EDUCATION:

• Requires a Bachelor’s degree in   computer science or other related field plus 2-4 years of hands-on experience   in configuring and managing Tableau/Databricks and SQL based data analytics   solution.  Experience with Tableau/Databricks and SQL Datawarehouse   environment is desired.

Knowledge/ Skills

• Good hands on Tableau, Tableau bridge server, Databricks, SSRS/ SSIS, AWS DWS, AWS APP Flow, PowerBI.
• Ability to read and write sql and stored procedures.
• Experience on AWS.
• 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 Responsibilities

• 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.