Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day.
We are looking for:
Lead AWS Cloud Engineer - Databricks Platform
Location: Princeton, NJ
Duration: Contract Or FTE
Shift Time: EST Time Zone
Position Overview:
AWS Cloud Engineer
Key Responsibilities:
Cloud Infrastructure Design & Implementation:
- Lead the design, implementation, and optimization of scalable and secure AWS cloud solutions.
- Utilize AWS services such as EC2, S3, Lambda, RDS, VPC, IAM, and others for building robust cloud-based architectures.
- Work closely with the architecture team to define infrastructure requirements and recommend suitable AWS technologies.
Databricks Platform Expertise:
- Leverage Databricks for building and managing data pipelines, running Spark-based analytics workloads, and orchestrating machine learning models.
- Design, optimize, and maintain Databricks clusters and notebooks for data processing, transformation, and analysis.
- Integrate Databricks with other AWS services (e.g., S3, Redshift, Glue) to build comprehensive end-to-end data solutions.
- Provide leadership in best practices for working with Databricks to ensure reliability, scalability, and efficiency of data workflows.
Leadership & Mentoring:
- Lead a team of cloud engineers, guiding them in implementing solutions that align with organizational goals and industry best practices.
- Mentor junior team members and provide technical guidance on cloud-related projects, Databricks integration, and infrastructure optimization.
- Facilitate cross-functional collaboration between engineering, data science, and business teams.
Automation & Optimization:
- Automate cloud infrastructure provisioning and management using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation).
- Continuously monitor and optimize AWS resources to improve performance and reduce costs.
Troubleshooting & Support:
- Provide expert-level troubleshooting and support for cloud infrastructure, Databricks platform issues, and production systems.
- Identify and resolve performance bottlenecks, security risks, and system inefficiencies across AWS and Databricks environments.
Documentation & Reporting:
- Document cloud infrastructure, Databricks configurations, and solutions for internal knowledge sharing.
- Prepare regular reports on system performance, cost management, and the status of cloud initiatives.
Key Requirements:
Experience:
- 5+ years of experience in AWS cloud engineering, with a proven track record of delivering cloud-based solutions.
- 3+ years of hands-on experience with Databricks platform, including building and managing data pipelines, notebooks, and Spark-based workloads.
- 2+ years of experience leading or mentoring a team of engineers, with strong leadership and team-building skills.
Technical Skills:
- Proficient in AWS cloud services (EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch, etc.).
- Strong knowledge of Databricks, Apache Spark, and data engineering best practices.
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Familiar with Infrastructure-as-Code tools (Terraform, CloudFormation).
- Experience with data processing frameworks, data lakes, and analytics pipelines.
Additional Skills:
- Strong understanding of security best practices in cloud environments.
- Ability to manage complex cloud projects with multiple stakeholders.
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Experience with Agile methodologies is a plus.
Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience).
AWS Certified Solutions Architect – Professional
(preferred).Databricks Certified Associate Developer
(preferred, but not required).
At Greymatter Innovationz,
We offer:
Motivating Work Environment.
Excellent Work Culture.
Help you to upgrade yourself to the next level.
And More!!!
