Senior Cloud Architect with Data Engineering Focus
6 days ago
About Enterprise Minds, Inc.
Enterprise Minds, Inc., founded in 2017, is a solution engineering firm headquartered in San Francisco, with offices in Hyderabad and Bangalore. We specialize in digital experience, data engineering, DevOps, AI/ML, and QA automation. Our esteemed clients include Google, Boeing, ThoughtSpot, Walmart, Viasat, TDS, DBS, and Stride across the US and India.
As an equal-opportunity employer, Enterprise Minds, Inc. is committed to fostering diversity and inclusion in the workplace. We actively support our employees through initiatives like Happy2Help, Mentoring, and Learning & Development programs, ensuring a collaborative and supportive environment for all.
Job OverviewRole: Senior DevOps SQL
Mode: Remote
Location: Bangalore
Experience: 5 years
Note: Immediate joiners only
Key Qualifications- Minimum 5 years of IT experience.
- At least 4 years of experience in designing, implementing, and maintaining robust and scalable data pipelines on Azure.
- Strong familiarity with Azure services: Azure Databricks, Data Factory, SQL, Analysis Services, and Synapse.
- Minimum 2 years of experience working on multi-layered data platforms with exposure to architecture and design principles.
- Experience in troubleshooting performance issues and applying fixes.
- Proficient in basic SQL (at least 3 years).
- Hands-on experience with programming languages like Python, PySpark, or Scala.
- Familiar with data modeling and ETL tools such as Erwin, Talend, or DataStage.
- Ability to lead large, complex projects with limited direction.
- Proven experience implementing and managing CI/CD pipelines using Azure DevOps for data engineering projects.
- Experience in Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.
- Ability to architect, deploy, and maintain scalable and secure Azure cloud solutions.
- Strong emphasis on performance, scalability, and cost-efficiency.
We are looking for a highly skilled Senior Cloud Architect with a focus on data engineering to join our team. If you have expertise in designing and implementing robust and scalable data pipelines on Azure, we want to hear from you
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