Digital Solution Architect

ppJob TitleDigital Solution ArchitectAbout the RoleJob purposeThe Data Engineer is accountable for the design, implementation and release from an IT perspective of modern data applications and pipelines of running projects as well as new initiatives in the context of the Digital Lab.The professional will be responsible to build integrations with external data systems, to enable data collection from a wide variety of data sources, to transform and combine properly these data in order to enable Advanced Data Analytics use cases.The professional will also be responsible to deploy, manage and maintain the data platform in the Cloud that is the backbone for any data related project of the organization.The professional will work closely with Business and RD departments as IT function will orchestrate and facilitate Cloud, IoT and Big Data projects following the Enterprise Architect guidance and collaborate with others IT Enterprise functions.The professional ensures compliance with advised BSEMIA data management rules, security policies, tools, and technology stack.The professional has experience with Agile frameworks and Strategic mind set with hands‑on mentality, creative / out‑of‑the‑box, flexible / courageous, showing ownership and agility. /ph3Responsibilities: /h3ulliDesign, develop and deliver reliable modern data pipeline to support any data related projects /liliImplement Batch processes for data Ingestion, Processing and Transformations /liliImplement Streaming processes for data Ingestion, Processing and Transformations /liliServe and provide access to the final datasets to Data Science Team to enable Advanced Analytics /liliManage data and related metadata in Big Data Warehouse, Structured and/or Unstructured Data stores /liliDesign, Administer and Maintain Data Lake for Big Data Analytics /liliDesign, Develop and Deliver components for Data Integration and Extraction /liliOperates data pipelines and cloud resources in case of failures and bugfixes /liliDeployment, configuration and monitoring of the Cloud Data Platform infrastructure and services /liliWorks closely with Data Architect and Data Scientists /liliSupport ML and Predictive Models deployment in the cloud /liliFacilitates and orchestrates Cloud, IoT, Analytics use cases /liliWorks in Agile teams to implement new PoC and MVP projects, prepares and runs demos as appropriate /liliFamiliarities with Web Development technologies and best practices, with special reference to the Microsoft world. /li /ulh3Qualifications Experience Required /h3ulliEducation, Master, other certification:Master’s Degree in Computer Science or equivalent. /liliExperience (years):Minimum 3 years of experience working on Big Data projects, using technologies like HDFS, Hadoop, Spark, Spark Streaming, Hive, HBase …Minimum 3 years of experience developing Batch and Streaming data pipelines especially in Microsoft Azure and using Spark. /li /ulh3Technical skills: /h3ulliAdvanced experience with IaaS and PaaS in Azure especially using Azure data services like Azure Data Factories, Azure Databricks, Azure Data Lake Store, Azure SQL database, Azure HDInsight. AWS knowledge is a nice to have. /liliBroad understanding and experience with software development best practices, cloud oriented architectures and OLTP/OLAP workloads. /liliAdvanced knowledge of SQL language and Spark for Big data transformation is a must. /liliKnowledge and experience in Serverless computing components development and with services like Azure Functions or AWS Lambda. /liliStrong understanding of data modeling, algorithms, and data transformation techniques and BI tools /liliStrong understanding of Big Data architecture and Data transformations patterns /liliStrong understanding of relational DB and Data Warehouses (such as SQL Server, Oracle, MySQL, Postgres or similar and/or Azure SQL database service) /liliGood understanding of non‑relational DB (such MongoDB, Cassandra, or Azure CosmosDB, Azure Blob Containers) /liliFamiliarities with Web Development technologies, APIs, and web services and related Microsoft stack: Azure App Service, Azure SQL Database, Microsoft SQL Server and T‑SQL language, ASP.NET, C# language. /liliGood understanding of IoT services and messaging technologies (such IoT Hub, Event Hub in Azure) /liliProficiency with Bash scripting and Infrastructure as a code using tools like Azure CLI, Azure Powershell, Azure Resource Manager (ARM) Templates /liliProficiency with some but not necessarily all the following languages: Scala, C#, Python, Java and Javascript /liliBasic understanding of Artificial Intelligence and Machine Learning methodologies and libraries /liliFamiliarity with containerization (such as Docker, Kubernetes) /liliExperience with common Code versioning and DevOps Pipeline tools such as Git and Azure DevOps. /liliUnderstanding and experience with object-oriented design and development. /liliTechnical understanding of current and emerging digital technologies and trends, such as artificial intelligence / machine learning, advanced computing platforms, edge computing, IoT devices/sensors. /li /ulh3Languages skills: /h3ulliFluent in English /li /ulh3Soft/Behavioral Skills: /h3ulliUsed to working in multicultural environments. /liliAnalytical problem solving skills. /liliLogic thinking and team-working with strong communication skills. /li /ulh3Salary range: /h3ulli41,155.92 - 77,000 /liliThe salary range is based on gender-neutral criteria: applicable CCNL requirements, responsibilities, working conditions and market benchmarks for the role and location. Final compensation will be determined based on gender-neutral criteria: experience, skills, and internal equity. /li /ul /p #J-18808-Ljbffr