Sr. Software Engineer

Proven experience as a MS Fabric Data Architect Comfortable developing and implementing a delivery plan with key milestones based on requirements Strong working knowledge of Microsoft Fabric core features, including setup, configuration, and use of: Azure Data Lake (OneLake) for Big Data storage. Azure Synapse Data Warehouse for database management. Azure Synapse Data Engineering and Data Factory for data integration. Microsoft Purview (preview for Fabric) for data governance. Azure Data Science for analytics and AI workloads. Event stream and Data Activator for real time data flows. Strong understanding of data modelling, including relational and NoSQL data models. Ability to interpret an organisations information needs. Experience collaborating with Azure Cloud Architects to achieve platform goals. Proven experience designing Data architecture to support self serve analytics and AI development. Knowledge of dimensional modelling and Data Warehousing techniques. Expertise in Data partitioning, indexing, and optimisation strategies for large datasets Solution/technical architecture in the cloud Big Data/analytics/information analysis/database management in the cloud IoT/event driven/microservices in the cloud Experience with private and public cloud architectures, pros/cons, and migration considerations. Extensive hands on experience implementing data migration and data processing using Azure services:, Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, Azure Functions, ARM Templates, Azure DevOps, CI/CD etc. Cloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc. Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc. Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, AutoScaling is a plus Nice to Have Certifications AZ 303: Microsoft Azure Architect Technologies AZ 304: Microsoft Azure Architect Design DP 200 Implementing an Azure Data Solution DP 201 Designing an Azure Data Solution Nice to Have Skills/Qualifications: DevOps on an Azure platform Experience developing and deploying ETL solutions on Azure Strong in Power BI, C##, Spark, PySpark, Unix shell/Perl scripting Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Multi cloud experience a plus Azure, AWS, Google Professional Skill Requirements Proven ability to build, manage and foster a team oriented environment Proven ability to work creatively and analytically in a problem solving environment Desire to work in an information systems environment Excellent communication (written and oral) and interpersonal skills Excellent leadership and management skills Excellent organizational, multi tasking, and time management skills Proven ability to work independently