Senior Data Engineer- Managed services
On-sitePune, Maharashtra, India
Job Summary
Architect and provision Azure infrastructures for customer data analytics workloads, deploying and maintaining Azure DevOps for platform delivery and production support. Translate new Azure technology developments into applied solutions for client scenarios, influencing architecture to ensure supportability while transferring technical knowledge across the team. Act as the technical escalation point for managed services clients, collaborating on internal process improvements and mentoring the wider Managed Service team. This customer-facing role involves daily engagement with clients and occasional remote work outside standard hours.
Required Qualifications
- Good Hands on Experience on Azure Cloud or any of the following: Azure Data Factory, Azure Data Lake, Power BI, SQL Server, Databricks
- Demonstrable understanding of SQL; querying
- Experience with Python/Pyspark
- Enterprise level cloud & infrastructure practices and an interest in application delivery
- An attention to detail and a focus on continual improvement
- Problem solving
- Ability to identify opportunities and issues
- Strong written and spoken English
- Interpersonal skills
- Experience of most of the following (but not limited to): Microsoft Azure Cloud Adoption Framework (CAF), Azure Landing Zones, Hub/Spoke Networks, ARM Templates, Azure DevOps including Pipelines and Repos
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