Cloud Engineer, Data Analytics

Google Cloud provides enterprise-grade solutions leveraging cutting-edge technology for digital transformation.
Cloud
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Enterprise SaaS · AI

Description For Cloud Engineer, Data Analytics

Google Cloud is seeking a Cloud Engineer, Data Analytics to join their team in either Bengaluru or Mumbai, India. This role combines technical expertise with customer-facing responsibilities, making it ideal for professionals who excel in both technical implementation and client relations.

As a Cloud Engineer, you'll be at the forefront of helping customers leverage Google Cloud Platform's data capabilities. Your responsibilities will span from designing large-scale data processing systems to developing optimized data pipelines, while also serving as a trusted technical advisor to customers facing complex Big Data challenges.

The ideal candidate brings 3+ years of experience with data processing software and algorithms, along with strong programming skills in languages like Java, Python, or C++. You'll need to demonstrate expertise in data warehousing, ETL/ELT processes, and modern web technologies. The role requires a bachelor's degree in Computer Science or related field, though equivalent practical experience is accepted.

What makes this opportunity unique is the chance to work with Google's strategic Cloud customers, implementing cutting-edge solutions that drive digital transformation. You'll be part of Google Cloud's mission to accelerate organizations' ability to transform their businesses across more than 200 countries. The role offers exposure to emerging technologies and the opportunity to contribute to high-impact projects.

The position involves 40% travel and requires excellent communication skills for delivering technical presentations and conducting video conferences. You'll collaborate with cross-functional teams including Engineering, Sales, and Product Management, making this an excellent opportunity for those looking to combine technical expertise with business impact.

Benefits include working with cutting-edge technology, contributing to global-scale solutions, and being part of Google's inclusive culture. The company is committed to diversity and equal opportunity, providing a supportive environment for professional growth. This role offers the perfect blend of technical challenge and business impact, making it an exciting opportunity for experienced cloud professionals looking to advance their careers at one of tech's most innovative companies.

Last updated 3 days ago

Responsibilities For Cloud Engineer, Data Analytics

  • Act as a trusted technical advisor to customers and solve complex Big Data challenges
  • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations
  • Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities
  • Travel 40% of the time as necessary
  • Guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform
  • Work on data migrations and transformational projects
  • Design large-scale data processing systems and develop data pipelines optimized for scaling

Requirements For Cloud Engineer, Data Analytics

Java
Python
MongoDB
  • Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience
  • 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume)
  • Experience coding in one or more languages: Java, C++, Python, Go, JavaScript
  • Experience managing client-facing projects, troubleshooting technical issues, working with Engineering, Sales, Services, and customers
  • Professional Cloud certification (GCP/Databricks) on Data Engineering preferred
  • Experience working with data warehouses, including technical architectures, ETL/ELT preferred
  • Experience in technical consulting preferred
  • Experience working with Big Data, information retrieval, data mining, or machine learning preferred

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