- Design, implement, and support on-premises and cloud-based data infrastructure
- Design and implement data acquisition, curation and consumption pipelines using Azure and Snowflake
- Migrate on-premises data stores to the Azure cloud
- Optimize and expand data pipelines for performance and scalability
- Monitor and troubleshoot data pipelines within Azure Synapse
- Participate in designing and building Azure data platforms supporting both batch and real-time (event-based) architecture
- Collaborate with data scientists to design and implement machine learning models using Azure Synapse and Azure Machine Learning
- Be knowledge in the technology stack available in the industry for metadata management, including Data Governance, Data Quality, MDM, Lineage, and Data Catalog
- Bachelor's degree in Computer Science or a related discipline preferred, or equivalent education/professional work experience
- At least 4 years of hands-on experience in a data engineering capacity
- Experience with designing data lakes and data warehouses using cloud technologies
- Experience with Azure Synapse pipelines
- Experience with SQL Server Integration Services (SSIS)
- Strong knowledge of medallion architecture (Bronze, Silver, Gold stack)
- Familiarity of Snowflake data cloud platform
- Experience designing, building, and maintaining ETL/ELT data pipelines
- Experience working with large datasets, data lakes, and big data technologies
- Experience with leveraging, designing, and building database schemas on SQL Server
- Familiarity with metadata management tools and practices
- Understanding of data and query optimization, and query performance monitoring tools and techniques
- Experience working in an agile development environment
- Demonstrates strong communication and interpersonal skills. Demonstrates the ability, desire, and focus to meet deadlines
- Excellent problem-solving skills and attention to detail
- Ability to work independently and as part of a team
- Technical training and certifications related to the role are highly preferred
- Hands on experience with Snowflake
- Experience with Python and Spark, Azure Logic Apps, Machine Learning, and Data Bricks
- Experience with cloud infrastructure services such as Azure AD, Azure Kubernetes, Azure Networking, Azure Virtual Machines, and Azure Security
- Hands on experience with implementing analytics solutions using Azure cloud technologies, including Azure ADLS Gen 2, Azure Data Factory, and Azure SQL Database
- Experience using Git and Azure DevOps pipelines for deployment automation of data solutions
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Azure Data Engineer - Greenville, United States - Advanced Automation Consulting
Description
Job Description
Job DescriptionAAC is seeking an Azure Data Engineer to join their reputable client in Downtown Greenville, SC. This is a growing organization with exciting initiatives in the data space as they continue to modernize their data strategies within Azure and Snowflake. You will be supporting the Database Operations team working alongside their Enterprise Architect.
** This position will be fully on-site in our client's beautiful new HQ building, downtown Greenville, SC. **
JOB FUNCTIONS
EDUCATION AND EXPERIENCE REQUIREMENTS
PREFERRED REQUIREMENTS
We operate at the highest level of integrity at all times, strive to be the *Best of the Best* in all that we do, and we are the Best Value service provider to our clients.
Company Description
Advanced Automation Consulting, Inc., headquartered in Columbia, SC, is an IT Consulting Services firm focused on the long-term success of our clients and consultants. At AAC, we never lose our intense, passionate focus on the needs of our clients. We attract and retain the best and brightest consultants and provide them with support, training, and the project discipline to ensure the success of our clients and AAC. \r\r
We operate at the highest level of integrity at all times, strive to be the *Best of the Best* in all that we do, and we are the Best Value service provider to our clients.