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Cloud Data Engineer

2 months ago

Santa Clara, California, United States Infoblox Full time
About the Role

We are seeking a highly skilled Staff Data Engineer to join our Cloud Engineering team at Infoblox. As a key member of our team, you will be responsible for designing, developing, and maintaining large-scale data platforms and products that deliver next-level networking solutions for our customers.

Key Responsibilities
  • Curate large-scale data from various sources into appropriate sets for research and development, 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, 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 the software engineering team.
  • 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
  • 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.
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.
  • Complete rotations on support/duty where you will gain experience with the different systems, tools, and processes in the Data Lake by resolving reported issues.
  • Contribute to the team's velocity by participating in Scrum and driving stories to completion.
What We Offer

We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. We have a strong culture and live our values of transparency, curiosity, respect, and above all, having fun while delighting our customers.

We believe in paying for performance and take many factors into consideration when making employment offers, including location, internal equity, applicable past experience, individual skill set, education, and professional certifications.