Job
Description
Design and implement highly available and scalable Azure cloud data solutions that meet business requirements. Collaborate with crossfunctional teams to design and implement solutions that meet business requirements. Participates in the testing process through test review and analysis. Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/nonrelational databases for data access and Advanced Analytics. Required Qualifications Strong experience with Azure cloud technologies say Azure Data Bricks, Lake house architecture, DataLake, Cosmos DB, Eventhub, Servicebus, Topic, blob storages, azure functions, AKS, key Vault, Experience with data transformation and manipulation using Azure Databricks or similar tools Solid scripting experience with Python, Pyspark Experience with streaming data platforms Kafka Good working knowledge with Azure Infrastructure Experience on data integrations with APIs. Experience working in an Agile development environment. Working knowledge of CI/CD tools and concepts Azure Pipelines, Github actions Workflow, Architect data ingestion solutions such as ETL, ELT s on a wide set of data storage solutions. Independent and able to manage and prioritize workload. Ability to guide or lead junior resources to get desired project results. Advanced troubleshooting skills to drive to root cause Ability to manage ambiguity and solve undefined problems Mandatory skill sets Azure Data Services, including Azure Data Factory, Synapse Analytics, and Databricks. Proficiency in data transformation and ETL processes. Handson experience with Oracle to Azure Data Lake migrations. Preferred skill sets Azure Solutions Architect Expert certification. Databricks Certification. Education qualification bachelors degree in computer science, Applied Mathematics, Data Science, or Machine Learning. Education Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Required Skills Microsoft Azure Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis
