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Fractal

GCP Engineer

Reposted 23 Days Ago
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In-Office
5 Locations
Senior level
In-Office
5 Locations
Senior level
The GCP Engineer focuses on developing large scale data engineering solutions using GCP, including data pipelines and ETL processes for Fortune clients.
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It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Location - Open

Position: Data Engineer (GCP) – Technology

If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.

Responsibilities:

  • Be an integral part of large scale client business development and delivery engagements
  • Develop the software and systems needed for end-to-end execution on large projects
  • Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
  • Build the knowledge base required to deliver increasingly complex technology projects

​Qualifications & Experience:
A bachelor’s degree in Computer Science or related field with 5 to 10 years of technology experience

Desired Technical Skills:

  • Data Engineering and Analytics on Google Cloud Platform:
    • Basic Cloud Computing Concepts
    • Bigquery, Google Cloud Storage, Cloud SQL,
    • PubSub, Dataflow, Cloud Composer, GCP Data Transfer,
    • gcloud CLI
  • Python, Google Cloud Python SDK, SQL
  • Experience in working with Any NoSQL/Columnar / MPP Database
  • Experience in working with Any ETL Tool (Informatica/DataStage/Talend/Pentaho etc.)
  • Strong Knowledge of database concepts, Data Modeling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP Architecture

Other Desired Skills:

  • Excellent communication and co-ordination skills
  • Problem understanding, articulation and solutioning
  • Quick learner & adaptable with regards to new technologies
  • Ability to research & solve technical issues

Responsibilities:

  • Developing Data Pipelines (Batch/Streaming)
  • Developing Complex data transformations
  • ETL Orchestration
  • Data Migration
  • Develop and Maintain Datawarehouse / Data Lakes

Good to have:

  • Experience in working with Apache Spark / Kafka
  • Machine Learning concepts
  • Google Cloud Professional Data Engineer Certification

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Top Skills

BigQuery
Cloud Composer
Cloud Sql
Dataflow
Etl Tools
Gcp Data Transfer
Google Cloud Platform
Google Cloud Python Sdk
Google Cloud Storage
NoSQL
Pubsub
Python
SQL

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