Google Cloud Platform Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

Data Engineering
GCP Tools
SQL
Python
DataFlow
Data Stream
Cloud Functions
BiqQuery
Cloud Storage
PubSub
CDC

Job Details

Job Title: Google Cloud Platform Data Engineer

Job description

We are seeking a skilled Google Cloud Platform Data Engineer based in Houston (onsite), with 8+ years of overall data engineering experience and at least 4 years of hands-on expertise in Google Cloud Platform (Google Cloud Platform).

Responsibilities

  • Develop, construct, test, and maintain data acquisition pipelines for large volumes of structured and unstructured data. This includes batch and real-time processing (in Google Cloud).
  • Build large and complex datasets based on business requirements.
  • Construct ‘big data’ pipeline architecture.
  • Identify opportunities for data acquisition via working with stakeholders and business clients.
  • Translate business needs to technical requirements.
  • Leverage a variety of tools in the Google Cloud Ecosystem such as Python, Dataflow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub/Sub, BigQuery, Cloud Storage to integrate systems and data pipelines.
  • Use logs & alerts to effectively monitor pipelines.
  • Use SAP SLT to replicate SAP tables to Google Cloud using SLT.
  • Develop JSON messaging structure for integrating with various applications.
  • Leverage DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines.
  • Partition/Cluster and retrieve content in BigQuery and use IAM roles & Policy Tags to secure the data.
  • Use roles to secure access to datasets, authorized views to share data between projects.
  • Design and build an ingestion pipeline using REST API.
  • Recommend ways to improve data quality, reliability, and efficiency.

Required

·       8+ years of experience in a data engineering role.

·       At least 3 years of hands on experience in Google Cloud Platform tools highlighted (Python, SQL, Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage)

·       Great communication, work independently and manage small projects.

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.