Description

You will design and implement scalable data solutions within the Google Cloud Platform ecosystem.

Responsibilities

• Design and develop modern data architectures using Google Cloud Platform technologies.
• Implement end-to-end data engineering lifecycles, including non-functional requirements and operations.
• Build prototypes and conduct usability testing for data solutions.
• Develop data visualization components and ensure data literacy across solutions.

Required Skills

• 10+ years of experience in BI and Analytics.
• Minimum 2 years of hands-on experience with Google Data Products including BigQuery, Dataflow, and Dataproc.
• Proficiency in Spark using Scala, Python, or Java.
• Experience with Kafka and Airflow.
• Strong command of SQL and NoSQL modern data stores.
• Proven skills in end-to-end solution design.
• Experience managing the full data engineering lifecycle.
• Apply Agile and DevOps methodologies to drive delivery.

Preferred Skills

• Experience with data visualization tools beyond standard libraries.

Key Skills

Education

Any Graduate