Senior Data Engineer, Managed Services

coeo Group

full-time

Posted on: 9/8/2025

Location: 🇮🇳 India

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Senior

AzureETL.NETPySparkPythonScalaSparkSQLSSIS

About the role

Monitor and manage production Data & Analytics solutions to ensure performance and reliability
Troubleshoot and resolve incidents and technical issues across Azure-based data platforms
Develop and deploy enhancements and optimisations to existing solutions
Build and configure automation tools to streamline operations and reduce manual effort
Work directly with end-users and customers, providing expert support and guidance
Invest in ongoing development through formal training, in-house sessions, mentoring, and Microsoft certification support

Experience working in a Managed Services team, supporting Azure-based production Data & Analytics ETL/integration solutions (e.g., Synapse, Databricks, Data Factory, Fabric, Function Apps, Power BI) in line with SLAs
Strong hands-on skills in Python and SQL
Proven ability to identify, investigate, and resolve complex technical issues
Experience with ticket management and communicating directly with customers/end-users via phone, tickets, and email
Familiarity with ITIL practices and service management frameworks (advantageous)
Experience enhancing data pipelines, notebooks, and Power BI reports/models (advantageous)
Knowledge of PySpark, Scala Spark SQL, .NET (C#), SSAS, and SSIS (advantageous)
Exposure to Azure infrastructure (e.g., VMs, VNETs, security configurations) (advantageous)
Microsoft certifications such as DP-203 or DP-600 (advantageous)