Data Engineer
2 months ago
We are seeking a highly skilled Data Engineer to join our Cloud Engineering team in Burnaby, BC. As a Data Engineer, you will play a critical role in developing platforms and products for Infoblox's SaaS product line, delivering next-level networking for our customers.
Key Responsibilities- Curate large-scale data from various sources into appropriate sets for research and development, supporting data scientists, threat analysts, and developers across the company.
- Design, test, and implement storage solutions for various consumers of the data, including data warehouses like ClickHouse and OpenSearch.
- Design and implement mechanisms to monitor data sources over time for changes using summarization, monitoring, and statistical methods.
- Design, develop, and maintain APIs that enable seamless data integration and retrieval processes for internal and external applications, ensuring scalability, security, and efficiency.
- Leverage computer science algorithms and constructs to distill large data into sources of insight and enable future analytics.
- Convert prototypes into production data engineering solutions through disciplined software engineering practices, Spark optimizations, and modern deployment pipelines.
- Collaborate on design, implementation, and deployment of applications with the rest of software engineering.
- Support data scientists and Product teams in building, debugging, and deploying Spark applications that best leverage data.
- Build and maintain tools for automation, deployment, monitoring, and operations.
- Create test plans, test cases, and run tests with automated tools.
- 12+ years of experience with Python3, and 2+ years of experience with Spark; Scala experience is helpful.
- 5+ years of experience in data engineering, data science, and related data-centric fields using large-scale data environments.
- 3+ years of experience in using SQL and working with modern relational databases, including MySQL or PostgreSQL.
- 3+ years of experience with developing ETL pipelines and data manipulation scripts.
- Experience working with ClickHouse data warehouse.
- Expertise in designing and developing APIs, preferably RESTful, for data access and manipulation in a distributed environment.
- Proficient in Object Oriented Design and S.O.L.I.D principles.
- Emphasis on unit testing and code quality.
- Proficient with AWS products, including EMR, S3, VPC, EC2, Athena, etc.
- Bachelor's or master's degree in computer science or a related field, or equivalent work experience required.
- After six months, you will have completed onboarding by demonstrating knowledge of the Data Lake and associated technologies and CI/CD processes by deploying ETL pipelines for curation and warehousing to production.
- After about a year, you will be an expert on the Data Lake target state architecture and drive engineering design and grooming sessions for new feature development.
We've created a culture that embraces and rewards innovation, curiosity, and creativity. We achieve remarkable results by working together in a supportive environment that focuses on continuous learning and embraces change.
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