Azure Data Factory

4 days ago

Pune, Maharashtra, India Fujitsu Full time

Shift: 24x7 Shift

Job Requirement:

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 Azure's 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

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