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Senior Data Engineer
1 month ago
About the Role
We are seeking a highly skilled Senior Data Engineer to join our Cloud Engineering team in Burnaby, BC. As a key member of our team, you will be responsible for developing platforms and products for Infoblox's SaaS product line, delivering next-level networking for our customers.
In this role, you will work closely with data scientists and product teams to curate and refine data powering our latest cloud products. You will be responsible for designing, testing, and implementing storage solutions for various consumers of the data, including data warehouses like ClickHouse and OpenSearch.
You will also design and implement mechanisms to monitor data sources over time for changes using summarization, monitoring, and statistical methods. Additionally, you will design, develop, and maintain APIs that enable seamless data integration and retrieval processes for internal and external applications.
Key Responsibilities
- Curate large-scale data from a multitude of sources into appropriate sets for research and development for the data scientists, threat analysts, and developers across the company
- Design, test, and implement storage solutions for various consumers of the data, especially 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
- Leverage computer science algorithms and constructs, including probabilistic data structures, 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
Requirements
- 8+ 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
What Success Looks Like
- 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
About Infoblox
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. So, whether you're a software engineer, marketing manager, customer care pro, or product specialist, you belong here, where you will have the opportunity to grow and develop your career.