Azure Architect
at Wewill disclose the client name after theinitial screening.
Job title: Azure Architect
Locations: Noida, Pune, Bangalore and Mumbai
Responsibilities:
- Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
- Design and Develop the Data lake, Data warehouse using Azure Cloud Services
- Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
- Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
- Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
- Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
- Support internal presentations to technical and business teams
- Provide technical guidance, mentoring and code review, design level technical best practices
Experience Needed:
- 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
- Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
- Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
- Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
- Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
- Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
- Worked with transactional, temporal, time series, and structured and unstructured data.
- Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Azure DW, Databricks, Python
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We are seeking a highly skilled and motivated Software Engineer with expertise in both backend development and DevOps practices. The ideal candidate will have a proven track record of designing, developing, and deploying robust and scalable backend systems, while also possessing strong knowledge of cloud infrastructure and DevOps principles. This role requires a collaborative individual who thrives in a fast-paced environment and is passionate about building high-quality software.
Responsibilities
Design, develop, and maintain backend services using appropriate technologies.
Implement and maintain CI/CD pipelines.
Manage and monitor cloud infrastructure (e.g., AWS, Azure, GCP).
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Collaborate with frontend developers to integrate backend services.
Contribute to the design and implementation of database schemas.
Participate in code reviews and ensure code quality.
Contribute to the improvement of DevOps processes and tools.
Write clear and concise documentation.
Stay up-to-date with the latest technologies and best practices.
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Bachelor's degree in Computer Science or a related field.
3+ years of experience in backend software development.
2+ years of experience in DevOps.
Proficiency in at least one backend programming language (e.g., Java, Python, Node.js, Go).
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Experience with containerization technologies (e.g., Docker, Kubernetes).
Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
Strong understanding of database technologies (e.g., SQL, NoSQL).
Excellent problem-solving and debugging skills.
Strong communication and collaboration skills.
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Experience with specific technologies used by our company (list technologies if applicable).
Experience with serverless architectures.
Experience with infrastructure as code (e.g., Terraform, CloudFormation).
Contributions to open-source projects.
Relevant certifications.
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