Data and Analytics Engineer
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. The position involves guiding customers through their data journey on Google Cloud Platform, from ingestion to visualization, while working with cutting-edge technology.
The ideal candidate will have strong foundations in data processing algorithms and software development, with expertise in Python, Java, Scala, and various cloud technologies. You'll be working with GCP's suite of tools and helping customers leverage these technologies for their business transformation.
This role offers the unique opportunity to work with Google's cutting-edge technology while directly impacting customer success. You'll be part of a team that's shaping the future of cloud computing and data analytics, working with customers across various industries and scales. The position combines technical depth with customer interaction, making it ideal for those who enjoy both technical challenges and collaborative problem-solving.
As part of Google Cloud, you'll be working with a platform that serves customers in more than 200 countries, providing enterprise-grade solutions that leverage Google's innovative technology. The role involves travel to customer sites, conducting workshops, and working closely with Product Management and Engineering teams to drive product excellence.
The position offers the chance to work on large-scale data processing systems, develop optimized data pipelines, and solve complex technical challenges while being part of Google's inclusive and innovative culture. If you're passionate about data engineering and want to help organizations transform their businesses through technology, this role offers the perfect blend of technical depth and business impact.
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
- 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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