• Design, develop and implement proof-of-concept solutions, cloud architectures, data engineering and analytics solutions for data lake and applications.

• Working closely with stakeholders and product teams to understand business objectives, bridge the gap between technical and non-technical stakeholders and creating cloud-based solutions to facilitate those objectives.

• Collaborate and communicate with stakeholders within – Business Operations, Sales / Business Development, Finance and Customers

• Ensure that the architecture and solutions are compliant with cloud best practices and mitigate any security vulnerabilities that might occur.

• Troubleshoot technical issues and ensure the smooth operation of cloud environments.

• Look for ways to move older systems and solutions into the cloud for more efficiency.

• Scale our cloud data infrastructure, data pipelines and tools to meet growing business needs ensuring they are scalable, reliable, and secure.

• Implement solutions using AWS cloud offerings such as ECS, ECR, EKS, CloudFormation, Dockers, S3, Lambda, Glue Jobs, DocumentDB, AWS Cognito and API Gateway

• Manage the AWS cloud data lake, work with cloud services, deploy applications, automate tasks using scripts, and monitor performance and security.

• Evaluate and enhance data quality and reliability.

• Making hardware and software recommendations based on the needs of the project and organization. Evaluate and recommend the most effective cloud tools and services.

• Adapt to shifting priorities, find the answer to business problem and constantly learn about changing technology and best practices.

Qualifications:

Required:

• Bachelor of Science degree in Computer Science or equivalent; or equivalent combination of education.

• Experience architecting complex systems and working on large-scale projects in AWS Cloud and Data Lake.

• 5+ years of relevant experience Level of Experience: Performs work with little to no supervision. Leads & provides guidance to experienced analysts/developers. Acts as project leader on large, complex projects. Maintains a senior-level workload. Fully capable of working at the highest technical level.

• Proven experience in designing, implementing, and maintaining AWS solutions.

• Strong knowledge of cloud concepts architecture patterns, and best practices.

• Strong technical skills and hands-on experience in cloud platforms (such as AWS Azure), designing, developing, and implementing data pipelines, coding in programming languages extensively used in Data Science applications (e.g., R, Python, PySpark, Scala, Java, etc.)

• Strong problem solving, quantitative, data architecture and analytical abilities.

• Strong leadership skills to work with various teams and stakeholders.

• Excellent communication, analytical and delegation skills.

• Experience designing and implementing Data Warehouse/Data Lake, Cloud Based Technologies (AWS – Data Migration, Postgres, Glue, S3, EC2, Lambda, Step Functions, Document DB, RedShift).

• Experience in cloud design patterns, cloud development tools, frameworks, APIs, best practices, testing methods, security, and cost optimization, as well as problem-solving, troubleshooting and collaboration skills.

• Design and Implement CI/CD pipelines using Github actions and AWS Services (Code Pipeline, Code Build, Code Deploy), automate infrastructure provisioning and deployments using IaC tools such as AWS CloudFormation or Terraform.

• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.

• Experience of data mining principles: predictive analytics, machine learning, mapping, collecting data from multiple data systems on premises and cloud-based data sources.

• Experience leveraging and improving the Agile Scrum Process.

• Experience working with stakeholders and putting together cloud based solution-architecture for Data/Analytics products.

• Knowledge of data visualization tools: Power BI, SSRS, Tableau, etc.

• Experience understanding/eliminating functional and technical blockers for the team.

Preferred:

• AWS Solution Architect, Associate or Professions is a plus.

• Exposure to the web-apps technology stack like: ECS, EKS, ALB, RDS, Docker based container orchestration, modular microservices architecture, APIs, React, Java, Python, Node Js.

• Knowledge of integrating data lake with enterprise systems using XML, JSON, API, event bridge, Oracle ERP/EPM, Warehouse management systems, Salesforce, API driven synchronization between on-prem information systems and AWS.

• Knowledge of Microsoft tool set including Excel, Word, and PowerPoint.

• Knowledge of Supply Chain processes and business models.

• Knowledge of other Cloud architectures and cloud data governance models.

Company:

Americold is a global leader in temperature-controlled logistics and real estate, with a more than 120-year legacy of innovation and reliability. Founded in 1903, the company is headquartered in Atlanta, Georgia, USA, with a team of 10001+ employees. The company is currently Late Stage. Americold Logistics, LLC. has a track record of offering H1B sponsorships.