Company:
Expert In Recruitment Solutions
Location: Tampa
Closing Date: 22/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Title-Azure Data Architect
Duration-6+ Months
Do not send if they do not have all of the below on the resume over multiple projects.
These candidates will be screened hard.
Expert level
-------------------------
Azure Data Lake Storage
Azure Data Factory
Azure Databricks
Azure Synapse
Python
PySpark
12 months
Remote
Multiyear project
Architect level
Responsibilities:
- Design and implement end-to-end data solutions on the Azure platform, including data ingestion, transformation, storage, and analytics.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Develop and optimize data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
- Ensure data security and compliance by implementing appropriate measures and best practices.
- Perform data profiling, cleansing, and validation to ensure data quality and integrity.
- Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
- Stay up-to-date with the latest trends and advancements in Azure data engineering and recommend innovative solutions to enhance data processing and analysis capabilities.
- Mentor and provide guidance to junior team members, fostering a collaborative and knowledge-sharing environment.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.
- Minimum of 15 years of experience in data engineering, with at least 5 years focus on Azure technologies.
- Strong expertise in designing and implementing data solutions using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other relevant Azure services.
- Proficiency in programming languages such as Python, Java, or C#.
- Solid understanding of data modeling, data warehousing, and ETL/ELT processes.
- Experience with SQL and NoSQL databases, such as Azure SQL Database and Azure Cosmos DB.
- Strong problem-solving skills and the ability to analyze complex data requirements.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Duration-6+ Months
Do not send if they do not have all of the below on the resume over multiple projects.
These candidates will be screened hard.
Expert level
-------------------------
Azure Data Lake Storage
Azure Data Factory
Azure Databricks
Azure Synapse
Python
PySpark
12 months
Remote
Multiyear project
Architect level
Responsibilities:
- Design and implement end-to-end data solutions on the Azure platform, including data ingestion, transformation, storage, and analytics.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Develop and optimize data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
- Ensure data security and compliance by implementing appropriate measures and best practices.
- Perform data profiling, cleansing, and validation to ensure data quality and integrity.
- Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
- Stay up-to-date with the latest trends and advancements in Azure data engineering and recommend innovative solutions to enhance data processing and analysis capabilities.
- Mentor and provide guidance to junior team members, fostering a collaborative and knowledge-sharing environment.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.
- Minimum of 15 years of experience in data engineering, with at least 5 years focus on Azure technologies.
- Strong expertise in designing and implementing data solutions using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other relevant Azure services.
- Proficiency in programming languages such as Python, Java, or C#.
- Solid understanding of data modeling, data warehousing, and ETL/ELT processes.
- Experience with SQL and NoSQL databases, such as Azure SQL Database and Azure Cosmos DB.
- Strong problem-solving skills and the ability to analyze complex data requirements.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
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