Data and analytics and platform engineer

We are looking for a Data & Analytics Platform Engineer who will be responsible of building and maintaining our Azure cloud platforms and resources to support Data Science Machine Learning (DSML), Enterprise Data Lake/Warehouse (EDL/EDW), Master Data Management (MDM) functions.

Please check the below requirement

Direct Client Requirement

Position: EDW Data & Analytical Platform Engineer( Onsite/Hybrid )

Location; Dallas, TX/Richmond, VA

Duration: 12-24 Months Contract

Job Description:

We are seeking an experienced Data & Analytics Platform Engineer with a minimum of 5 years of hands-on experience in configuring, building and maintaining different Azure platform infrastructures. Familiar with the different Azure resources and how they all fit together. Must have experience as a DevOps engineer with some Azure experience.

Responsibilities:

•      Design and implement intelligent, predictable, reliable, scalable, cost-efficient, and easy-to-use platforms and frameworks for Data Science Machine Learning (DSML), Enterprise Data Lake/Warehouse (EDL/EDW), Master Data Management (MDM) functions.

•      Design and implement Azure cloud infrastructure including but not limited to storage, data factories, key vaults, virtual networking, virtual machines, and automated deployments.

•      Evaluate and automate the scaling and capacity requirements within Azure environment.

•      Implement, setup, configure, monitor, and maintain cloud-based Data & Analytics platforms such as Databricks and Snowflake. Troubleshoot and resolve environment performance issues, connectivity issues, security issues.

•      Make recommendations and execute cost saving strategies for Cloud services.

•      Streamline development and operation processes via continuous integration, deployment, automated testing while leveraging SRE principles.

•      Self-directed and able to balance the priorities of multiple teams, systems, and products with a leadership mindset.

•      Work collaboratively in teams and develop meaningful relationships to achieve common goals.

•      Drive efficient resolution for system outages as well as performance and functional issues. Engage in critical support situations and effectively drive successful resolution.

•      Coordinate with offshore and onsite team members to ensure 24/7 coverage and define escalation processes

•      Drive Operational maturity within the team

Experience Required:

•      Building and supporting enterprise-level solutions with Microsoft Azure or equivalent cloud technologies.

•      Python, SQL, GitHub, Azure DevOps, Bicep, and PowerShell.

•      Understanding Infrastructure-as-Code and configuration management automation tools.

•      Using DevOps with a clear understanding of related tools, structure, and processes within an Agile/Scrum setting.

•      Well versed in SRE practices, testing frameworks, and building CI/CD pipelines.

•      Leading the end-to-end design and development of scalable services to be consumed by the enterprise (monitoring and production support services)

•      Hands-on experience with Snowflake, Databricks

•      Daily Operations and support background

Mandatory Skills:

Azure, Snowflake, Databricks, Python, SRE, Agile/Scrum, GitHub

Desired Skills:

DevOps