GCP Lead/Architect

Requirements:
Client is seeking a Senior Big Data Engineer to become part of the team implementing and supporting edge analytical solutions on a Google Cloud Ecosystem.
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.
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 Github.
Responsibilities:
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, CI/CD, infrastructure-as-code, etc.)
Participate in a tight-knit engineering team employing agile software development practices