Saxon Global
Azure Data Engineer
Saxon Global, Birmingham, Alabama, United States, 35275
Our enterprise client is seeking a Data Engineer to join their dynamic team. The selected candidate will be instrumental in enhancing data-driven decision-making and operational efficiency across various business units. This role involves close collaboration with data scientists and operating within a cloud environment, requiring proficiency in data engineering, cloud technologies, and team-based problem-solving. If you are enthusiastic about using data to drive business insights and innovation, and have expertise in Power BI visualization and data cataloging, this opportunity is for you!
What you'll be doing:
Data Modeling and Architecture:
Develop and implement data models and architectures optimized for data analytics, ensuring efficiency, scalability, and data integrity.Implement best practices for data storage, partitioning, and indexing to optimize performance and facilitate analysis.Data Pipeline Development:
Assist in designing, building, and maintaining scalable data pipelines to ingest, transform, and store large volumes of data from various sources.Collaborate with data scientists to ensure seamless integration of data pipelines with analytical models and AI processes.Data Cataloging and Documentation:
Catalog and document data sources, datasets, and metadata to facilitate data discovery, lineage, and governance.Implement data cataloging best practices to ensure the availability and accessibility of data assets.Cloud Environment Management:
Work within cloud environments - Azure to deploy, manage, and optimize data engineering solutions.Collaborate with cloud architects and administrators to ensure security, compliance, and cost-effectiveness of cloud infrastructure.Visualization and Reporting:
Develop and maintain Power BI dashboards and reports to visualize data insights and facilitate data-driven decision-making.Create custom UI/UX applicationsEnsure the accuracy, reliability, and usability of visualizations to meet business requirements.Collaboration and Support:
Collaborate with cross-functional teams to understand data requirements and support analytical initiatives.Provide technical support and troubleshooting for data-related issues, ensuring the reliability and availability of data infrastructure.What you need to have:
Bachelor's degree in Computer Science, Information Technology, or related field.3+ years of experience in data engineering or related roles, preferably in a cloud environment.Proficiency in programming languages such as Python, SQL, and Scala.Proficiency with Power BI for data visualization and reporting.Experience with cloud-based data platforms (e.g., Azure Databricks, AWS EMR).Strong understanding of data modeling, ETL processes, and data warehousing concepts.Familiarity with big data technologiesInnovative and adaptable, with a passion for continuous learning and improvement.Strong communication and collaboration skills, with the ability to work effectively across teams.Results-oriented and committed to delivering high-quality solutions that meet business needs.Ethical conduct and commitment to safety in all aspects of work.
What you'll be doing:
Data Modeling and Architecture:
Develop and implement data models and architectures optimized for data analytics, ensuring efficiency, scalability, and data integrity.Implement best practices for data storage, partitioning, and indexing to optimize performance and facilitate analysis.Data Pipeline Development:
Assist in designing, building, and maintaining scalable data pipelines to ingest, transform, and store large volumes of data from various sources.Collaborate with data scientists to ensure seamless integration of data pipelines with analytical models and AI processes.Data Cataloging and Documentation:
Catalog and document data sources, datasets, and metadata to facilitate data discovery, lineage, and governance.Implement data cataloging best practices to ensure the availability and accessibility of data assets.Cloud Environment Management:
Work within cloud environments - Azure to deploy, manage, and optimize data engineering solutions.Collaborate with cloud architects and administrators to ensure security, compliance, and cost-effectiveness of cloud infrastructure.Visualization and Reporting:
Develop and maintain Power BI dashboards and reports to visualize data insights and facilitate data-driven decision-making.Create custom UI/UX applicationsEnsure the accuracy, reliability, and usability of visualizations to meet business requirements.Collaboration and Support:
Collaborate with cross-functional teams to understand data requirements and support analytical initiatives.Provide technical support and troubleshooting for data-related issues, ensuring the reliability and availability of data infrastructure.What you need to have:
Bachelor's degree in Computer Science, Information Technology, or related field.3+ years of experience in data engineering or related roles, preferably in a cloud environment.Proficiency in programming languages such as Python, SQL, and Scala.Proficiency with Power BI for data visualization and reporting.Experience with cloud-based data platforms (e.g., Azure Databricks, AWS EMR).Strong understanding of data modeling, ETL processes, and data warehousing concepts.Familiarity with big data technologiesInnovative and adaptable, with a passion for continuous learning and improvement.Strong communication and collaboration skills, with the ability to work effectively across teams.Results-oriented and committed to delivering high-quality solutions that meet business needs.Ethical conduct and commitment to safety in all aspects of work.