Software Development • iOS • UI/UX • Embedded • Automotive
501 - 1000 employees
Founded 2004
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 Private Equity Round on 2015-10
4 days ago
Software Development • iOS • UI/UX • Embedded • Automotive
501 - 1000 employees
Founded 2004
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 Private Equity Round on 2015-10
• As Azure Data Architect, delivering a high quality and innovative data driven solution to client’s analytical needs. • Working within a team on the clients site: understanding the client’s pain, designing an analytical approach, implementing a solution, ensuring quality, and leading and mentoring multi discipline technology teams. • You will be a part of experienced onsite consulting teams developing & providing architectures for a highly resilient, fault tolerant, horizontally scalable data platform. • Building multiple layers within the platform around Data Ingestion, Integration, Metadata Management, Data security and data presentation. • Working with the client Architects to refine ideas on the Analytics Architecture and help with standards and guidelines. • Building a Data Engineering community and helping customers build a centre of excellence for engineering. • Ensuring development teams deliver the highest quality data products through adoption and continuous improvement of best practices, tools, frameworks, and processes. • Applying years of experience to help teams resolve technical challenges and assist where necessary to accelerate problem resolution.
• Must have: • You will be a skilled Architect helping customer teams to design, strategize and build the data foundations to drive Analytics business use cases on Azure. • You will engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. ADF, Databricks, Spark, Python, PySpark, Synapse, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS • Strong experience in building data transformation techniques using Spark and DataBricks. • You will design the architecture to Ingest and integrate data from a large number of disparate data sources • You will design and build complex data processing solutions both in batch & real time use cases. • Knowledge in Kafka/Spark is a value add but experience in EventHub/Stream Analytics is needed for designing real time solution. • You will work closely with analysts, data scientists and technology partners to understand their requirements • You will exercise fluid communication with your team of data engineers and analysts • You will enthusiastically evolve your technical skillset, engage in training, and learn new technologies and techniques • You will work comfortably in an agile and fast paced environment. • Able to compare between best of technologies by layer – e.g., stream processing, messaging, search, etc. • Comes with strong experience in delivering Data Solutions using Big-Data technologies and cloud platforms • Suggest the architecture which incorporates Security controls around authentication, authorizations, and encryption • Recommend the migration tools and design data migration strategy • Design and implement Metadata management and data catalogs process on top of the built Azure Data Platform
• Competitive salary adequate to your skills and performance • Flexible working hours • Training programs • Private medical insurance • Multisport program • English lessons • Company social events • Weekly cakes and fruits • Relocation assistance
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