The Operations Engineer will work in collaboration with and under the direction of the Manager of Data Engineering, Advanced Analytics to provide operational services, governance, and incident management solutions for the Analytics team. This includes modifying existing data ingestion workflows, releases to QA and Prod, working closely with cross functional teams and providing production support for daily issues.
Essential Job Functions
Takes ownership of customer issues reported and see problems through to resolution
Researches, diagnoses, troubleshoots and identifies solutions to resolve customer issues
Follows standard procedures for proper escalation of unresolved issues to the appropriate internal teams
Provides prompt and accurate feedback to customers
Ensures proper recording and closure of all issues
Prepares accurate and timely reports
Documents knowledge in the form of knowledge base tech notes and articles
Other Responsibilities:
Be part of on-call rotation
Support QA and production releases, off-hours if needed
Work with developers to troubleshoot issues
Attend daily standups
Create and maintain support documentation (Jira/Confluence)
Minimum Qualifications and Job Requirements:
Proven working experience in enterprise technical support
Basic knowledge of systems, utilities, and scripting
Strong problem-solving skills
Excellent client-facing skills
Excellent written and verbal communication skills
Experience with Microsoft Azure including Synapse and Databricks
Experience leveraging analytics team tools such as Alteryx or other ETL tools
Experience with data visualization software (. Domo, Datorama)
Experience with SQL programming
Experience automating routine data tasks using various software tools (., Jenkins, Nexus, SonarQube, Rundeck, Task Scheduler)
Experience : 4 - 7 Years
No. of Openings : 2
Education : Any Bachelor Degree, B.C.A, B.Sc, B.Tech/B.E, M.C.A, M.Sc, M.Tech
Role : Operations Analyst
Industry Type : Pharma / BioTech / Clinical Research
Gender : [ Male / Female ]
Job Country : India