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Description Design and implement data storage systems using cloud services to ensure scalability and performance. Develop and implement data integration processes for data warehouses or data lakes. Utilize big data technologies to support data analytics and machine learning applications. Build and maintain applications for architectural migration within an Agile function. Monitor and optimize data pipelines for efficiency. Build interfaces for new applications and accommodate new data sources. Document data engineering processes for transparency and maintainability.
Key Responsibilities Design data storage systems using cloud solutions. Develop data integration and ETL processes. Create data processing workflows for analytics applications. Maintain applications for large-scale migration. Optimize data pipeline and database performance. Support evolving applications and data sources. Document engineering processes and data models.
Qualifications Bachelor's degree in Computer Science or related field. 5 years of experience in building data and analytics platforms. Expertise in cloud services for data management and analytics. Proficiency in software development and scripting languages. Knowledge of data modeling and data warehousing concepts. 3 years of programming experience in relevant languages. Experience with cloud-based data migration.
Core Technologies SQL Database | Data Factory | Synapse | Data Lake | ETL Tools | Big Data Technologies
Contact Information Syed Safi Ullah,syed.safi@itmmi.com
Benefits Learn more about our benefits offerings here https://www.mitchellmartin.com/careers/benefits-perks
EEO Statement Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement