Senior Data Engineer

1 month ago

Burnaby, British Columbia, Canada Infoblox Full time
About the Role

At Infoblox, we're seeking a highly skilled Senior Data Engineer to join our Cloud Engineering team in Burnaby, BC. As a key member of our team, you'll play a crucial 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 for 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, ensuring these APIs are scalable, secure, and efficient to support high-volume data interactions.
  • 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 have become an expert on the Data Lake target state architecture and drive engineering design and grooming sessions for new feature development.

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