Full-Time

Staff Analytics Engineer

Posted on 9/10/2024

Docker

Docker

501-1,000 employees

Containerization platform for application development

Consumer Software
Enterprise Software

Senior, Expert

No H1B Sponsorship

Remote in Canada

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Kubernetes
Python
Git
SQL
AWS
Looker
Snowflake
Requirements
  • 5+ years of experience in data engineering or analytics engineering roles, with a proven track record of leading complex data projects and initiatives.
  • Deep expertise in SQL, DBT, and data modeling, with a strong understanding of data pipeline design, ETL processes, and data warehousing.
  • Proficiency in software engineering principles, including CI/CD pipelines, version control (e.g., Git), and scripting languages (e.g., Python).
  • Hands-on experience with tools like Snowflake, DBT, and Looker. Familiarity with additional tools and platforms (e.g., AWS, Kubernetes) is a plus.
  • Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues related to data infrastructure.
  • Demonstrated ability to mentor and lead junior engineers, with a focus on fostering a collaborative and high-performance team environment.
  • Excellent communication skills, with the ability to clearly and concisely convey complex technical concepts to both technical and non-technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Responsibilities
  • Design, develop, and maintain highly scalable and efficient data pipelines, ensuring timely and accurate collection, transformation, and integration of data from various sources.
  • Architect and implement robust data models and data warehousing solutions that enable efficient storage, retrieval, and analysis of large, complex datasets.
  • Work closely with data scientists, analysts, and business stakeholders to understand data requirements, translating them into actionable data models and insights.
  • Implement and oversee rigorous data validation, cleansing, and error-handling mechanisms to maintain high data quality and reliability.
  • Continuously monitor and optimize data pipeline performance, identifying and resolving bottlenecks and inefficiencies to maintain optimal system responsiveness.
  • Provide guidance and mentorship to junior analytics engineers, fostering a collaborative and learning-oriented environment.
  • Contribute to the strategic direction of data initiatives, staying abreast of industry best practices, emerging technologies, and trends in data engineering and analytics.
  • Build and maintain user-facing documentation for key processes, metrics, and data models to enhance the data-driven culture within the organization.
  • Serve as a key expert in tools such as Snowflake, DBT, and Looker, ensuring they are leveraged effectively to meet business needs.

Docker offers a platform for containerization, enabling developers to build, share, and run applications in isolated environments called containers. These containers package applications with their dependencies, ensuring consistent performance across different stages of development. Docker's freemium business model includes various subscription tiers and services like Docker Hub and Docker Desktop, catering to both individual developers and large enterprises. The company's goal is to streamline the development process, enhance collaboration, and improve deployment efficiency.

Company Stage

Series C

Total Funding

$484.3M

Headquarters

Palo Alto, California

Founded

2013

Growth & Insights
Headcount

6 month growth

5%

1 year growth

26%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Docker's acquisition of AtomicJar enhances its testing capabilities.
  • The rise of DevSecOps aligns with Docker's focus on container security.
  • Edge computing trends create opportunities for Docker's lightweight container solutions.

What critics are saying

  • Increased competition from Kubernetes may impact Docker's market share.
  • Security vulnerabilities could undermine trust in Docker's platform.
  • The rise of serverless computing may reduce demand for Docker's solutions.

What makes Docker unique

  • Docker offers a comprehensive platform for building, sharing, and running applications.
  • Docker's freemium model attracts a wide range of developers and enterprises.
  • Docker Hub provides a vast repository of trusted container images.

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