Responsibilities
- Design and implement data solutions using Azure technologies.
- Collaborate with cross-functional teams to understand data requirements.
- Ensure data security, integrity, and compliance with industry standards.
- Develop and maintain ETL processes for data ingestion and transformation.
- Optimize data storage and retrieval processes.
- Create and maintain data models and schemas.
- Monitor and troubleshoot data pipelines and systems.
- Implement data governance and quality control measures.
- Provide technical guidance and support to team members.
- Stay updated with the latest Azure data technologies and best practices.
- Document data processes and procedures.
- Participate in data architecture and design reviews.
- Ensure data solutions are scalable and performant.
- Work with stakeholders to define data strategies and roadmaps.
- Implement data analytics and reporting solutions.
- Collaborate with data scientists and analysts to support data-driven decision-making.
- Ensure data solutions align with business objectives and requirements.
- Conduct data audits and assessments to identify improvement areas.
- Implement data integration solutions with various data sources.
- Provide training and mentorship to junior team members.
- Ensure data solutions comply with regulatory and compliance requirements.
Nice to Have
- Master's degree in a related field.
- Certification in Azure Data Engineering.
- Experience with Azure Synapse Analytics.
- Knowledge of Azure Data Factory.
- Experience with Azure Databricks.
- Familiarity with Azure SQL Database.
- Experience with Azure Data Lake.
- Knowledge of Azure Stream Analytics.
- Experience with Azure Cosmos DB.
- Familiarity with Azure Machine Learning.
- Experience with Azure DevOps.
- Knowledge of Azure Active Directory.
- Experience with Azure Monitor.
- Familiarity with Azure Logic Apps.
- Experience with Azure Functions.
- Knowledge of Azure Event Hubs.
- Experience with Azure IoT Hub.
- Familiarity with Azure Cognitive Services.
- Experience with Azure Data Explorer.
- Knowledge of Azure Synapse Link.
- Experience with Azure Data Share.
- Familiarity with Azure Purview.
- Experience with Azure Data Box.
- Knowledge of Azure Data Catalog.
Compensation
Competitive salary and benefits package.
Work Arrangement
On-site
Team
Collaborative and innovative team environment.
What You'll Need to Succeed
- A strong foundation in data engineering principles and practices.
- Experience with Azure data services and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to work independently and in a team environment.
- Experience with data modeling and database design.
- Knowledge of ETL processes and data integration tools.
- Familiarity with SQL and NoSQL databases.
- Experience with data warehousing and big data technologies.
- Strong attention to detail and organizational skills.
- Ability to adapt to new technologies and tools.
- Experience with data governance and quality control.
- Knowledge of data security and compliance standards.
- Experience with cloud-based data solutions.
- Familiarity with data analytics and reporting tools.
- Experience with Agile methodologies and project management.
- Strong understanding of data lifecycle management.
- Ability to provide technical guidance and support to team members.
- Experience with data migration and transformation projects.
- Knowledge of data visualization tools and techniques.
- Experience with data pipeline automation and orchestration.
- Familiarity with data lake and data warehouse architectures.
- Experience with data-driven decision-making processes.
- Strong understanding of data quality and integrity management.
What You'll Get to Do
- Design and implement data solutions using Azure technologies.
- Collaborate with cross-functional teams to understand data requirements.
- Ensure data security, integrity, and compliance with industry standards.
- Develop and maintain ETL processes for data ingestion and transformation.
- Optimize data storage and retrieval processes.
- Create and maintain data models and schemas.
- Monitor and troubleshoot data pipelines and systems.
- Implement data governance and quality control measures.
- Provide technical guidance and support to team members.
- Stay updated with the latest Azure data technologies and best practices.
- Document data processes and procedures.
- Participate in data architecture and design reviews.
- Ensure data solutions are scalable and performant.
- Work with stakeholders to define data strategies and roadmaps.
- Implement data analytics and reporting solutions.
- Collaborate with data scientists and analysts to support data-driven decision-making.
- Ensure data solutions align with business objectives and requirements.
- Conduct data audits and assessments to identify improvement areas.
- Implement data integration solutions with various data sources.
- Provide training and mentorship to junior team members.
- Ensure data solutions comply with regulatory and compliance requirements.
Not provided
