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Job Description (Posting).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.Skills:* Snowflake* Azure Databricks* Azure Data Factory* Pyspark* Python* SQLJob Description (Posting).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.Skills:* Snowflake* Azure Databricks* Azure Data Factory* Pyspark* Python* SQLJob Description (Posting).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.Skills:* Snowflake* Azure Databricks* Azure Data Factory* Pyspark* Python* SQLJob Description (Posting).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.Skills:* Snowflake* Azure Databricks* Azure Data Factory* Pyspark* Python* SQL