GCP Lead or Architect

Client is seeking a Senior Big Data Engineer to become part of the team implementing and supporting edge analytical solutions on a arenaflex Cloud Ecosystem. You will find a great place to work if you are passionate about designing data ingestion jobs, learning new technologies, and proposing and adopting new technologies. What you'll do • Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies. • Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc. • Work across Teams and senior engineers to make Data more accessible to others within the organization. • Modify data extraction pipelines into standardized approaches that can be repeatable and reusable with minimal supervision from senior engineers. • Automation of manual processes, optimize data delivery, re-designing infrastructure for greater scalability, etc. • Work closely with senior engineers to optimize query and data access techniques. • Apply modern software development practices (serverless computing, microservices architecture, arenaflex/CD, infrastructure-as-code, etc.) • Participate in a tight-knit engineering team employing agile software development practices. What experience you need • Bachelor's degree in Computer Science, Systems Engineering or equivalent experience. • 5+ years of work experience as a Big Data Engineer. • 3+ years of experience using Technologies such as Apache Spark, Hive, HDFS, Beam (Optional). • 3+ years of experience in SQL and Scala or Python. • 2+ years experience with software build management tools like Maven or Gradle. • 2+ years of experience working with Cloud Technologies such as GCP, AWS or Azure. • What could set you apart • Data Engineering using GCP Technologies (BigQuery, DataProc, Dataflow, Composer, DataStream, etc) • Experience writing data pipelines. • Self-starter that identifies/responds to priority shifts with minimal supervision • Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. • Agile environments (e.g. Scrum, XP) • Relational databases (e.g. SQL Server, Oracle, MySQL) • Atlassian tooling (e.g. JIRA, Confluence, and GithubApply Now

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