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Cloud Engineer - Data Reliability

Cloud Engineer - Data Reliability
NY, New York

Job Description

JOB TITLE: Cloud Engineer - Data Reliability

LOCATION: New York, NY (Remote)

TERM: Contract to Hire


JOB DESCRIPTION:

MUST-HAVES

• 5+ years of experience consulting in Data Engineering or Data Warehousing

• Google Cloud Data Engineer or Architect certification and hands-on experience deploying data sets for production application usage

• Experience with consumer data management / consumer-facing applications


Job Summary

As a Cloud Engineer focused on Data Reliability, you will be responsible for creating and maintaining the data sets on Google Cloud Platform to achieve best-in-class data reliability. This includes efficient and reliable creation of data sets, automate data validation and setup ongoing monitoring for reliable data usage on a global scale.

 

Responsibilities

· Ensure pipelines for structured and unstructured data have full data reliability checks including automation, monitoring and alerting and provide troubleshooting for issues

· Provide hands-on expertise to assist other engineers with queries, schema design, application architecture, and traffic pattern planning

· Design and develop for greater scale and optimize data delivery for performance and cost

· Optimize and maintain data integrity of our global data semantic layer of our business KPIs

· Act as an escalation point for engineers when production issues related to data reliability occur

· Work with stakeholders including product, engineering and business teams and assist them with data reliability issues

· Write and review code, create and maintain documentation

 

Requirements

· Ability to build and optimize reliable data sets, 'big data' data pipelines and architectures

· Excellent ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions

· Hands on experience with structured and unstructured data sets

· Ability to build reliable processes that support data transformation, workload management, data structures, dependency and metadata

· Familiar with deployment, automation, configuration management and monitoring tools, concepts, and principles

· Effective, thoughtful communicator in a fast-paced environment cross functional team members

· Ability to deliver quickly in a collaborative environment with understanding of business needs

· Experience with Striim, FiveTran or other ingestion software is a plus

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