Data Engineer (On-Site)
Location:
onsite in Downtown St Pete, FLSalary:
$115,000-125,000 DOE Sponsorship not available at this time Responsibilities Design, develop, and maintain reliable and efficient data pipelines using Azure Data Factory and Azure Databricks.
Construct and maintain complex data processing systems, ensuring they are scalable, repeatable, and secure.
Develop data pipelines that answer critical business questions and solve internal and external reporting needs.
Develop and maintain data models and data architecture to support data Lakehouse architecture.
Implement automated data validation, testing, and error handling mechanisms within data pipelines.
Stay up to date with the latest Azure services and technologies, as well as industry best practices, to continuously improve the data engineering processes.
Document all data engineering processes, systems, and designs to ensure knowledge sharing and business continuity.
Requirements Bachelor's degree in computer science, Engineering, or related field.
Minimum of 2 years of experience as a Data Engineer with a focus on Azure cloud services.
Proficient in Azure DF for creating, scheduling, and orchestrating data workflows.
Strong experience with Azure Databricks for data processing and analytics.
Knowledge of Azure storage solutions (Azure Blob Storage, Data Lake Storage).
Familiarity with data modeling, SQL, and data warehousing principles.
Experience with programming languages such as Python, Scala, or SQL for data manipulation and transformation.
Understanding of CI/CD practices and version control systems Strong communication and collaboration skills to work effectively with both technical and non-technical team members Work history in the Wealth Management industry is a plus Relevant Certifications A Plus Azure Data Engineer Associate Azure Data Fundamentals Microsoft Power BI Data Engineer (On-Site) Recommended Skills Architecture Business Continuity Communication Continuous Integration Data Analysis Data Lake Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
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open('/interstitial?jobdid=j3s6rh64q260f5mjbkt', 'ExternalApply-j3s6rh64q260f5mjbkt'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
onsite in Downtown St Pete, FLSalary:
$115,000-125,000 DOE Sponsorship not available at this time Responsibilities Design, develop, and maintain reliable and efficient data pipelines using Azure Data Factory and Azure Databricks.
Construct and maintain complex data processing systems, ensuring they are scalable, repeatable, and secure.
Develop data pipelines that answer critical business questions and solve internal and external reporting needs.
Develop and maintain data models and data architecture to support data Lakehouse architecture.
Implement automated data validation, testing, and error handling mechanisms within data pipelines.
Stay up to date with the latest Azure services and technologies, as well as industry best practices, to continuously improve the data engineering processes.
Document all data engineering processes, systems, and designs to ensure knowledge sharing and business continuity.
Requirements Bachelor's degree in computer science, Engineering, or related field.
Minimum of 2 years of experience as a Data Engineer with a focus on Azure cloud services.
Proficient in Azure DF for creating, scheduling, and orchestrating data workflows.
Strong experience with Azure Databricks for data processing and analytics.
Knowledge of Azure storage solutions (Azure Blob Storage, Data Lake Storage).
Familiarity with data modeling, SQL, and data warehousing principles.
Experience with programming languages such as Python, Scala, or SQL for data manipulation and transformation.
Understanding of CI/CD practices and version control systems Strong communication and collaboration skills to work effectively with both technical and non-technical team members Work history in the Wealth Management industry is a plus Relevant Certifications A Plus Azure Data Engineer Associate Azure Data Fundamentals Microsoft Power BI Data Engineer (On-Site) Recommended Skills Architecture Business Continuity Communication Continuous Integration Data Analysis Data Lake Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3s6rh64q260f5mjbkt', 'ExternalApply-j3s6rh64q260f5mjbkt'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
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