Application Developer

Title: Azure Data Engineer Azure Machine Learning --- Primary Skills - Azure Data Factory, Azure Synapse Analytics, Azure Databricks: Extensive experience in building and managing scalable data pipelines for data integration, transformation, and analysis. Azure Data Lake Storage, Azure SQL Database: Proven ability to manage and optimize data storage solutions, ensuring data accessibility and reliability. Azure Machine Learning: Expertise in developing, training, and deploying machine learning models using Azures machine learning tools and services. Data Warehousing Data Modeling: Strong experience with designing and maintaining data warehouses, with deep understanding of ETL processes and data models. Programming in Python or R: Skilled in writing scripts for machine learning model development using libraries like Scikit-learn, TensorFlow, and PyTorch. SQL Relational Databases: Advanced SQL skills with hands-on experience managing relational databases and executing complex queries. Cloud Services Integration: Skilled in integrating multiple Azure services, ensuring smooth and secure data flow across platforms. Secondary Skills - Power BI (Data Visualization): Proficient in creating visual dashboards and reports to provide actionable insights from data. Azure Cognitive Services, Azure Functions, Azure Logic Apps: Basic understanding and experience with additional Azure services that enhance automation and AI functionality. Big Data Technologies: Familiarity with big data frameworks such as Hadoop and Spark, aiding in the processing of large datasets. Agile/Scrum Methodologies: Experience in following Agile methodologies for effective project management and team collaboration. Data Security Compliance: Knowledge of best practices in data security, ensuring compliance with industry regulations for secure data handling. Version Control (Git): Basic proficiency in version control tools to manage codebase and ensure collaboration across teams.