Data and Analytics Engineer

Google Cloud Platform helps businesses transform and build solutions using cloud technology, focusing on security, reliability, and scalability.
Data
Mid-Level Software Engineer
Contact Company
5,000+ Employees
4+ years of experience
Enterprise SaaS · AI

Description For Data and Analytics Engineer

Google Cloud Platform is seeking a Strategic Cloud Data Engineer to join their team in Bengaluru. This role combines technical expertise in data engineering with customer-facing responsibilities, making it an exciting opportunity for experienced professionals. You'll be working with Google Cloud Platform's cutting-edge technology to help customers transform their businesses through cloud solutions.

The position requires strong technical skills in data processing, analytics, and cloud technologies, particularly with GCP products. You'll be responsible for guiding customers through data migrations, designing large-scale processing systems, and developing optimized data pipelines. The role involves both hands-on technical work and strategic consulting, requiring excellent communication skills to work with stakeholders at all levels.

As part of Google Cloud, you'll be working with a team that serves customers in over 200 countries, helping them leverage Google's innovative technology to solve critical business challenges. The role offers exposure to various industries and the chance to work with cutting-edge cloud technologies. You'll also collaborate with Product Management and Engineering teams, contributing to product excellence and innovation.

The ideal candidate should have a strong background in data engineering, with experience in Python, Java, Scala, and various big data technologies. Knowledge of GCP products, particularly in analytics and data storage, is essential. This role offers the opportunity to work with a global leader in cloud technology while helping shape the future of how businesses use data and cloud solutions.

Working at Google means joining a company committed to diversity, equality, and inclusion, with a strong focus on work-life balance and professional development. The role offers the chance to work on meaningful projects that impact businesses worldwide while being part of a supportive and innovative team environment.

Last updated 3 months ago

Responsibilities For Data and Analytics Engineer

  • Interact with stakeholders to translate 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 GCP
  • Design, Migrate/Build and Operationalize 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

Requirements For Data and Analytics Engineer

Python
Java
Scala
  • Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience
  • 4 years of experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks
  • Experience in distributed data processing frameworks and modern age GCP analytical and transactional data stores like BigQuery, CloudSQL, AlloyDB etc
  • Experience in GCP

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