Data Engineer
The scope of work will be typically:
a) Design ETL (Extract, Transform and Load) processes and implement them using GCP services
b) Design database architecture and implement on BigQuery
c) Code SQL queries
d) Use Python to both handle data transformation, automate data pipelines on GCP through API calls
e) Use Python to code mini-scripts to extract data from Marketing Platforms (such as Google Campaign Manager, Google DV360, Google Analytics, Facebook Marketing API, Verizon API, among others) through API calls
f) Support on technical pre-sales efforts, helping to elaborate proposals
g) Participate on online meetings both with colleagues at Predicta and customer representatives. These meetings will be held during working hours at Brazilian time zone (GMT -3, from 9 AM to 6 PM, Monday through Friday)
This professional must bear the following qualifications:
a) Valid Professional Data Engineer Certification from Google (mandatory; please, do not submit a proposal if you do not have this certification)
b) Experience and familiarity with GCP services, including, BigQuery, DataPrep, Dataflow, CloudFunctions, App Engine, Dataflow, Data Fusion, Cloud Composer, and Dataproc
c) Python coding skills are a must. Coding skills in JavaScript, Node.js and React-Native are pluses
d) Advanced language skills in spoken and written English; fluency in Portuguese is a plus
Job Type
Client Payroll
Positions
Backend Developer
Must have Skills
Languages
english -Fluent
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Up to 200 USD/Hour
200 USD
Up to 200 K/Year USD (Annual salary)
Longterm (Duration)
Fully Remote
Hari M