Address
Form of work
SalaryRole: Senior Azure Data engineer
Location: London, UK
Mode of Work: Hybrid
SC cleared candidate is must
- Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence, and deployment infrastructure diagrams.
- Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects.
- Prior experience with application delivery using an Onshore/Offshore model.
- Experience with gathering end user requirements and writing technical documentation.
- Time management and multitasking skills to effectively meet deadlines under time-to-market pressure.
- Suggest innovative solutions based on new technologies and latest trends to sales team.
- Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution.
- Work closely with sales team and clients to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business.
- Need Hands on Experience in Agile methodology.
- Azure: -Hands on experience in ADF – Azure Data Factory, Dataflow, Azure Blobs and Data Lake Gen 1 and Gen 2, Azure Synapse, Azure Data brick’s, Azure DevOps, Azure Logging and Monitoring Dashboards. Logic Apps.
- Hands on experience in Python, SQL
- Hands on experience in Big Data & Hadoop ECO Systems
- Exposure to Azure Service categories like PaaS components and IaaS subscriptions
- Ability to Design, Develop ingestion & processing framework for ETL applications.
- Hands on experience in CI/CD pipeline development and deployment integration using Azure DevOps –Resource Templates, terraform scripting – added advantages.
- Hands on experience in PowerShell scripting
- Experience in performance tuning and memory configuration
- Should be adaptable to learn & work on new technologies.
- Should have Good written and spoken communication skill.
