- Hybrid- 2 Days a week - Tuesdays and Wednesday
- Interview Process- Most likely will only have one round, but a second discussion may be necessary depending on the outcome of the initial discussions.
What are the top 3 requirements you are looking for on a resume or in their soft skills?
- Highly Proficient in Python, SQL, and other programming languages and frameworks used for data platform development and automation.
- Experience with designing, deploying, and managing scalable, containerized environments that ensure optimal performance and security for AI workloads
- Strong communicator with a desire to collaborate and work across a broad range of IT and Business stakeholders.
One of our best local clients is looking for a platform engineer / data engineer to join their industry leading organization on a contract to hire basis. They are looking for a platform engineer who can design, build, and maintain their data platforms, including cloud data warehouses, business intelligence tools, data science tools, and data intelligence tools. This role will be responsible for ensuring the optimal performance, security, scalability, and reliability of our data platforms, as well as providing guidance and support to our data engineers, analysts, and scientists.
Responsibilities:
Architect, implement, and maintain data platforms using best practices and industry standards.
Develop and automate data pipelines, workflows, and integrations across different data sources and platforms.
Troubleshoot and resolve platform issues, such as performance bottlenecks, data quality issues, and security vulnerabilities.
Monitor and optimize platform performance, availability, and capacity using various tools and metrics.
Research and evaluate new technologies and trends in the data platform domain and provide recommendations for improvement and innovation.
Collaborate with other platform engineers, data engineers, data analysts, data scientists, and business stakeholders to understand and deliver on their data platform needs and expectations.
Promotion and enablement of new platform functionality aligning with developer and business stakeholder needs.
Requirements:
A bachelors or masters degree in computer science, software engineering, or a related field, or equivalent work experience.
At least 5 years of experience in platform engineering, data engineering, or a similar role, preferably in a cloud-based environment.
Highly Proficient in Python, SQL, and other programming languages and frameworks used for data platform development and automation.
Experience with cloud data warehouses, such as Snowflake, and their features, such as data sharing, data lake integration, and data governance.
Experience with Azure DevOps including configuring and management of CI/CD Pipelines, Repos and optimizing collaboration through Boards
Experience managing code and application releases through Octopus Deploy or similar technologies
Experience with business intelligence tools and their features, including data visualization, dashboard creation, and report generation.
Experience with data science tools and their features, such as data preparation, machine learning, and model deployment.
Experience with data intelligence tools, and their features, such as data cataloging, data discovery, and data lineage.
Knowledge of data platform architectures, design principles, and best practices, including platform as a product, self-service, and automation.
Knowledge of data platform security, compliance, and governance standards and regulations including but not limited to GDPR, CCPA, and HIPAA.
Excellent communication, collaboration, and problem-solving skills.
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