GCP Data Engineer

2 weeks ago


Dearborn, United States SmartIPlace Full time
Job DescriptionJob Description

Role: GCP Data Engineer

Location: Dearborn, MI (Hybrid)

Visa: No h1B and CPT

Hire Mode: W2

Job Description:

A position is open for a data engineer in the GDI&A Customer 360.

The successful candidate will be responsible for designing, developing the transformation and modernization of big data solutions on GCP cloud integrating native GCP services and 3rd party data technologies also build new data products in GCP.

We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design and develop right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.

Key Responsibilities:

Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successfully deployment of Data Platform Implement methods for automation of all parts of the pipeline to minimize labor in development and production.

Identify, develop, evaluate, and summarize Proof of Concepts to prove out solutions

Test and compare competing solutions and report out a point of view on the best solution

Experience with large scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP

Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: o BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine

Migrate existing Big Data pipelines into Google Cloud Platform . Build new data products in GCP.

Skills Required:

Minimum 3 Years of Experience in Java/python in-depth

Minimum 2 Years of Experience in data engineering pipelines/ building data warehouse systems with ability to understand ETL principles and write complex sql queries.

Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc

Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata

1 Year experience of deploying google cloud services using Terraform

Skills Preferred:

Understands Cloud as being a way to operate and not a place to host systems

Understands data architectures and design independent of the technology

Experience with Python, Shell Script preferred

Exceptional problem solving and communication skills and management of multiple stakeholders

Experience in working with Agile and Lean methodologies

Experience with Test-Driven Development

Education Required:

Bachelors or masters in required field


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