Data and AI Engineer

Responsibilities

You will guide customers through data migration and modernization projects on the Google Cloud Platform by designing large-scale data processing systems. Additionally, you will interact with stakeholders to translate requirements into architectural recommendations and implement data quality and governance procedures.

Requirements

Candidates must have a bachelor's degree in Computer Science or equivalent experience along with proficiency in data processing algorithms and software. Experience in building machine learning solutions and working with cloud-native data infrastructure is required.

Skills

• Python
• Java
• Scala
• Spark
• Hadoop
• Machine Learning
• Data Warehousing
• ETL/ELT
• SQL
• NoSQL
• MongoDB
• SparkML
• TensorFlow
• PyTorch
• Google Cloud Platform
• Data Governance

About this role

MINIMUM QUALIFICATIONS:

* Bachelor's degree in Computer Science or equivalent practical experience.
* Experience in developing and troubleshooting data processing algorithms and
software (e.g., Python, Java, Scala, Spark, Hadoop).

* Experience building machine learning or data science solutions.

PREFERRED QUALIFICATIONS:

* Experience in working with data warehouses, including data warehouse
technical architectures, infrastructure components, ETL/ELT and
reporting/analytic tools, environments, and data structures.
* Experience in Big Data, information retrieval, data mining, or Machine
Learning.
* Experience in building multi-tier, high availability applications with modern
technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
* Understanding of database type, with the ability to write complex SQLs.
* Understanding of distributed data processing frameworks and modern age GCP
analytical and transactional data stores like BigQuery, CloudSQL, AlloyDB
etc.
* Understanding of core AI/ML concepts and frameworks like TensorFlow or
PyTorch.

ABOUT THE JOB:

The Google Cloud Consulting Professional Services team guides customers through
the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of
Google’s global network, web-scale data centers, and software infrastructure. As
part of an innovative team in this rapidly growing business, you will help shape
the future of businesses of all sizes and use technology to connect with
customers, employees, and partners.

As a Strategic Cloud Data Engineer, you will guide customers on how to ingest,
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 in-depth 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 closely
with Product Management and Product Engineering teams to build and constantly
drive 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
modernisation 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.
* Take various project requirements and organize them into clear goals and
objectives, and create a work breakdown structure to manage internal and
external stakeholders.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA