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This is a Data Engineer role based in Cleveland, Ohio, primarily involving work with Azure technologies such as Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics. Responsibilities include managing and optimizing data pipelines and developing techniques for big data handling and analysis.
Job Responsibility:
Design, construct, install, test and maintain data management systems
Ensure systems meet business requirements and industry practices
Build high-performance algorithms, prototypes, and conceptual models
Identify ways to improve data reliability, efficiency, and quality
Collaborate with data architects, modelers, and IT team members on project goals
Use Azure Data Factory for the orchestration and ETL/ELT data movement
Utilize Azure Data Lake for storing and analyzing data
Implement Azure Synapse Analytics to blend big data and relational data
Translate business needs into data solutions
Conduct testing and troubleshooting of data systems.
Requirements:
Minimum of 5 years experience in a Data Engineer role or similar
Proven expertise in Azure Data Factory
Proficiency in Azure Data Lake
Demonstrable experience with Azure Synapse Analytics
Bachelor's degree in Computer Science or a related field preferred
Strong understanding of database structures, principles, theories, and practices
Ability to design and implement scalable ETL processes
Familiarity with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining
Strong problem-solving skills and ability to troubleshoot data issues
Excellent communication skills, both written and verbal
Ability to work in a team and collaborate effectively with other professionals.
What we offer:
Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan
Access to top jobs, competitive compensation and benefits
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