Description

Skills:

  • Snowflake
  • Azure Databricks
  • Azure Data Factory
  • Pyspark
  • Python
  • SQL

Job Details:

  • Design, implement, and manage Azure cloud solutions for various projects.
  • Develop and maintain data pipelines using Databricks (PySpark) for data ingestion, processing, and analysis.
  • Configure and manage Azure Data Factory (ADF) to orchestrate data workflows and ETL processes.
  • Implement and optimize Azure Data Lake Storage (ADLS) for efficient data storage and retrieval.
  • Collaborate with cross-functional teams to design and implement data warehouse solutions.
  • Utilize Git for version control and collaboration on codebase.
  • Monitor, troubleshoot, and optimize data processes for performance and reliability.
  • Implement security best practices and manage access controls using Azure Active Directory (AAD).
  • Document technical designs, processes, and procedures.
  • Stay updated with the latest Azure cloud technologies and best practices.

Requirements experience and skills :

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience working with Azure cloud services, including Azure Data Lake Storage, Azure Data Factory, and Azure Active Directory.
  • 10+ Years of experience required.
  • Strong proficiency in PySpark and experience with Databricks for data engineering and analytics.
  • Hands-on experience with Git for version control and collaboration.
  • Familiarity with data warehousing concepts and technologies.
  • Experience with SQL and relational databases.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in a fast-paced, dynamic environment.
  • Azure certifications (e.g., Azure Administrator, Azure Data Engineer) are a plus.

Key Skills
Education

Any Graduate

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