Job description
Sr Data Engineer
Talento has partnered with an $18B organization headquartered in South Florida with multiple business units; known for being one of the Best Companies to Work For and offering highly competitive compensation packages, this is a great opportunity to advance your career. The Data Platform Engineer is responsible for implementation, designing, developing, debugging, integrating, transforming, consolidating, and troubleshooting structured and unstructured data systems for analytic and relational solutions. They will assist stakeholders, and team members to understand data through exploration, and strategy. Their main responsibilities include building out data processing pipelines, administering, managing, and building out structural and nonstructural Azure data platform solutions, applying and implementing secure data principles and patterns, creating advanced and optimized queries. They will work on many platforms such as Azure SQL, Mongo, Cosmos DB, Azure Data Factory, Azure Synapse, and Amazon RDS.
Requirements
Talento has partnered with an $18B organization headquartered in South Florida with multiple business units; known for being one of the Best Companies to Work For and offering highly competitive compensation packages, this is a great opportunity to advance your career. The Data Platform Engineer is responsible for implementation, designing, developing, debugging, integrating, transforming, consolidating, and troubleshooting structured and unstructured data systems for analytic and relational solutions. They will assist stakeholders, and team members to understand data through exploration, and strategy. Their main responsibilities include building out data processing pipelines, administering, managing, and building out structural and nonstructural Azure data platform solutions, applying and implementing secure data principles and patterns, creating advanced and optimized queries. They will work on many platforms such as Azure SQL, Mongo, Cosmos DB, Azure Data Factory, Azure Synapse, and Amazon RDS.
Requirements
- 8+ years of data development with relational databases. Preferably .Net - C# - SQL
- Demonstrable experience with Azure Data Platform (Synapse, SQL, Cosmos DB, Databricks, Machine Learning workspace)
- Comprehensive knowledge of full Software Development Lifecycle (SDLC) including Continuous Integration Continuous Development (CI/CD) models.
- Strong knowledge of Data Structures and Algorithms.
- Demonstrable experience with Relational and Non-relational databases.
- Demonstrable experience building data pipelines, transformations, analytical environments
- Design alongside a team of engineers focusing on 'data first' thinking while incorporating different end user experiences.
- Preferred experience in Informatica IICS & Power Center, Azure Databricks, Big Data, Data Lakes, and Machine Learning
- Preferred certifications: Azure Data Engineering Associate, Azure Cosmos DB Specialty, Azure Administrator Associate, Azure Data Science Associate, Azure DevOps Engineer Expert
- 30% Data Exploration and Design (Security, Research, Quality, Performance, Design)
- 30% Data Pipeline Development (Secure Development, Implementation, Unit Testing)
- 20% Azure Data Management (Provisioning, Authentication, Authorization, Monitoring)
- 20% Software Deployment (DevSecOps, Release management)
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