- Bachelor's degree in Computer Science or a related discipline preferred, or equivalent education/professional work experience.
- Technical training and certifications related to the role are highly preferred.
- Proven experience as a Data Engineer, with a strong background in data infrastructure design and implementation.
- Hands on experience with implementing analytics solutions using Azure cloud technologies, including Azure ADLS Gen 2, Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
- Experience designing, building, and maintaining ETL/ELT data pipelines.
- Experience with leveraging, designing, and building database schemas on SQL Server dbms.
- Experience with designing data lakes and data warehouses using cloud technologies.
- Experience working with large datasets, data lakes, and big data technologies.
- Experience using Git and Azure DevOps pipelines for deployment automation of data solutions.
- Experience working in an agile development environment.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and as part of a team.
- Demonstrates strong communication and interpersonal skills. Demonstrates the ability, desire, and focus to meet deadlines.
- Demonstrates organizational skills while working on multiple projects, and communicates effectively within the team.
- Desired Qualifications
- Minimum of 4 year's hands on experience
- Familiarity with metadata management tools and practices.
- Understanding of data and query optimization, and query performance monitoring tools and techniques.
- 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.
- Design, implement, and support on-premise and cloud-based data infrastructure that is resilient to disruptions and failures.
- Design and implement data acquisition, curation and consumption pipelines using Azure technologies including Azure Synapse, Azure ADLS, and Azure SQL.
- Migrate on-premise 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.
- Have familiarity with the technology stack available in the industry for metadata management, including Data Governance, Data Quality, MDM, Lineage, and Data Catalog.
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Senior Azure Data Engineer - Greenville, United States - United Community Bank
Description
Job Title: Senior Azure Data Engineer - Contract/Temp to Hire (6 months)Reports To: Director- Database Operations
Direct Reports: N/A
Salary Grade: 12
SUMMARY
We are looking for an experienced Azure Data Engineer to join our team and help build and maintain the modern data platform on Azure. As an Azure Data Engineer, you will be expected to contribute to all stages of the data lifecycle, including data ingestion, modeling, profiling, quality, transformation, movement, and curation.
EDUCATION AND EXPERIENCE REQUIREMENTS
This position may have coaching, development, and performance management of employees in the future.
WORK ENVIRONMENT
Greenville, SC
POSITION TYPE
This position requires schedule flexibility to work evenings and weekends as needed.
TRAVEL
This position requires up to 10% travel.
OTHER
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.
