Community

Home >

Jobs >

Cloud Engineer, Data and Analytics

Cloud Engineer, Data and Analytics

1 Month ago • 3 Years + • Data Analyst

About the job

15 skills required for this role

Test your skills to join the top 1% applicants for this job

google-cloud-platform

java

tensorflow

jenkins

algorithms

scala

ci-cd

mongodb

spark

nosql

data-structures

python

sql

terraform

hadoop

Job Description

This role involves guiding customers on data storage, processing, analysis, and visualization on Google Cloud Platform (GCP). Responsibilities include data migration and modernization projects, designing large-scale data processing systems, developing scalable data pipelines, and troubleshooting platform challenges. The ideal candidate will possess expertise in data governance, security controls, and will travel to customer sites for deployments and workshops. Collaboration with Product Management and Engineering teams is also crucial for product excellence. Strong skills in Python, Java, Scala, Spark, Hadoop, SQL, and cloud technologies are essential.

Must have:

3+ years experience in data processing algorithms and software using Python, Java, Scala, Spark and Hadoop
Experience with distributed data processing frameworks and data stores
Experience with SQL coding across databases (e.g., Teradata, MySQL)
Data migration and modernization projects
Designing large-scale data processing systems
Developing scalable data pipelines

Good to have:

Big Data, information retrieval, data mining, or Machine Learning experience
Experience with NoSQL, MongoDB, SparkML, and TensorFlow
Experience architecting and developing internet scale Big Data solutions
Experience with data warehouses, ETL/ELT, and reporting/analytic tools
Experience with IaC and CI/CD tools like Terraform, Ansible, Jenkins
Knowledge of data security techniques (symmetric, asymmetric, HSMs, key management)

Not hearing back from companies?

Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.

Minimum qualifications:

Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
3 years of experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks.
Experience with distributed data processing frameworks and data stores.
Experience with SQL coding across databases (e.g., Teradata, MySQL).

Preferred qualifications:

Experience in Big Data, information retrieval, data mining, or Machine Learning with building applications with NoSQL, MongoDB, SparkML, and TensorFlow.
Experience architecting, developing software, internet scale production-grade Big Data solutions in environments.
Experience with data warehouses, including technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
Experience with techniques like symmetric, asymmetric, Hardware Security Modules, envelopes, and implement secure key storage using Key Management System.
Experience with IaC and CI/CD tools like Terraform, Ansible, Jenkins etc.
Knowledge in data processing frameworks and data stores with ability to write SQLs.

About the job

In this role, you will guide customers on how to store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering teams to build and deliver excellence in our products.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services.
Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP).
Design, migrate/build and operationalise data storage and processing infrastructure using Cloud native products.
Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
Organize various project requirements into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

View Full Job Description

Upload your resume, increase your shortlisting chances by 80%

About The Company

Google

2066 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.