Google Cloud Platform Engineer

Overview

On Site
$50 - $55
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Sales
SQL
Google Cloud Platform
Automotive Manufacturing

Job Details

Are you a passionate IT trailblazer a growth-focused, problem-solver who takes full ownership of your work, wants to collaborate & co-create with fellow IT experts, innovate, learn new skills, create new solutions & drive your career to the pinnacle of your potential? If so, you will love working with our Sales Team we are constantly innovating to create breakthrough solutions for our client s growth through a vibrant, fun team culture.

Featured in CNBC, Digital Journal, Fox News & CIO Review, GBSI has been successfully serving the world s top Fortune 500 organizations for the last 20+ years. GBSI IT teams and consultants have delivered more than 568 projects successfully within the automotive, manufacturing, retail & pharmaceutical domains across the world. Headquartered in Moline, IL, GBSI s clients and consultants are spread across the US, Canada, Europe & India. Join us to be a part of an ever-growing, elite IT team & start building your dream career today!

To be a successful Google Cloud Platform Engineer you will embody GBSI's core employee characteristics of being passionate about IT, taking full ownership of your work & having a growth mindset. Additionally, you will exhibit strategic vision, thoughtful engagement, strong analytical/process skills, a bias for action, and the ability to partner with senior operational leaders.

Description:

o 7+ Years of Experience preferred

o Experience in creating ETL pipeline using dataflow & Bigquery, Experience to create best performing tables with partitioning/clustering etc enabled keeping best practices in mind

o Write Complex SQL queries keeping execution cost in mind.

o Hands-on with DAG using YAML or Airflow (Python)

o Knowledge of Cloud Composer

o Load data into BigQuery using files or by streaming one record at a time .

o Create, load, and query partitioned tables for daily batch processing data.

o Implement fine-grained access control using roles and authorized views.

o Should have in-depth understanding of Bigquery architecture, table partitioning, clustering, best practices.

o Should know how to reduce BigQuery costs by reducing the amount of data processed by your queries.

o Should be able to speed up queries by using denormalized data structures, with or without nested repeated fields.

o Exploring and Preparing data using BigQuery.

o Implementing ETL jobs using Bigquery.

o Knowledge of Python

Equal Employment Opportunity Statement

GeniusBSI is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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