Job Description :
Role: Sr. Data Engineer
Location: Blue Ash, OH
Experience: 9-11 Years
Duration: Long-Term

Job Details:

The Client is looking for a Data Engineer experienced in implementing data solutions in Azure. The Data Engineer will analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. The Data Engineer will also support the implementation of Infrastructure as Code (IaC) by working with teams to help engineer scalable, reliable, and resilient software running in the cloud.
Leverages enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
Guides high level data architecture design (functional, non-functional) and ensures teams adhere to data architecture standards
Develops information processes for data acquisition, data transformation, data migration, data verification, data modeling, and data mining
Accountable for cost viability and technical estimation of data platform usage
Designs data solutions for data distributions and partitions, scalability, disaster recovery and high availability
Designs security for data policies and standards
Monitors and optimizes data solutions
Actively governs and automates standard data architecture patterns and blueprints
Partners with architecture, security, infrastructure, and application teams to design and implement the automation of data, data platforms, and tools
Creates and updates automation to eliminate routine management processes
Articulates the need for scalability and understand the importance of improving quality through testing
5+ years of hands-on experience with data platforms
Experience in designing data solutions in Azure including data distributions and partitions, scalability, disaster recovery and high availability
Experience in monitoring and optimizing data solutions in Azure including using Azure Monitor
Experience in implementing data solutions in Azure including Azure SQL, Azure Synapse, Cosmos DB, Databricks, ADLS, Blob Storage, ADF, Azure Stream Analytics
Experience in designing security for data policies and standards
In depth understanding and proficiency in automation of cloud platforms and data platforms
Expertise in on-prem and cloud database automation and platform automation with Azure
Proficiency with cloud automation tooling such as Ansible and Terraform
Proficiency with DevOps and CI/CD methodologies and tools for automated infrastructure code test, integration, deployment, and assurance
Proficiency with Languages such as Ruby, bash, Python or Go
Experience with Software Development and automation methodologies
Experience with data security best practices
Strong problem-solving skills
Strong collaboration skills and excellent verbal and written communication skills

Key Responsibilities
Leverages enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
Guides high level data architecture design (functional, non-functional) and ensures teams adhere to data architecture standards
Develops information processes for data acquisition, data transformation, data migration, data verification, data modeling, and data mining
Accountable for cost viability and technical estimation of data platform usage
Designs data solutions for data distributions and partitions, scalability, disaster recovery and high availability
Designs security for data policies and standards
Monitors and optimizes data solutions
Actively governs and automates standard data architecture patterns and blueprints
Partners with architecture, security, infrastructure, and application teams to design and implement the automation of data, data platforms, and tools
Creates and updates automation to eliminate routine management processes
Articulates the need for scalability and understand the importance of improving quality through testing