Overview
On Site
$58
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Regulatory Compliance
Analytics
Apache Airflow
Apache HTTP Server
Cloud Computing
Cloud Storage
Data Flow
Data Processing
Data Security
Data Storage
ELT
Extract
Transform
Load
Fusion
Good Clinical Practice
Google Cloud
Google Cloud Platform
Management
Orchestration
PySpark
Python
SAFE
SQL
Scripting
Scrum
Stackdriver
Storage
Terraform
User Stories
Workflow
Job Details
Title: Google Cloud Platform Data Engineer with Python and SQL
Location: Dallas, TX
Pay Rate - $ 58 /hr on C2C
Experience : 6 to10 years
Required Skills : ,Python, PySpark, SQL, Cloud Composer, Cloud Dataflow, Cloud Dataproc, Google Big Query
Job summary :
Google Cloud Platform Data Engineer will create, deliver, and support custom data products, as well as enhance/expand team capabilities. They will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and analytics. Google Cloud Data Engineers will be responsible for designing the transformation and modernization on Google Cloud Platform using Google Cloud Platform Services
Responsibilities:
- Build data systems and pipelines on Google Cloud Platform Cloud using Data proc, Data Flow, Data Fusion, Big query and Pub/Sub
- Implement schedules/workflows and tasks for Cloud Composer/Apache Airflow.
- Create and manage data storage solutions using Google Cloud Platform services such as BigQuery, Cloud Storage, and Cloud SQL
- Monitor and troubleshoot data pipelines and storage solutions using Google Cloud Platforms Stackdriver and Cloud Monitoring
- Develop efficient ETL/ELT pipelines and orchestration using Data Prep, Google Cloud Composer
- Develop and Maintain Data Ingestion and transformation process using Apache PySpark, Dataflow
- Automate data processing tasks using scripting languages such as Python or Bash
- Ensuring data security and compliance with industry standards by configuring IAM roles, service accounts, and access policies.
- Automating cloud deployments and infrastructure management using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager.
- Participate in Code reviews, contribute to development best practices and usage of Developer Assist tools to create a robust fail-safe data pipelines
- Collaborate with Product Owners, Scrum Masters and Data Analyst to deliver the User Stories and Tasks and ensure deployment of pipelines
- Perform Data Engineer Activities
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