Description

You will lead data engagements on GCP focusing on data lakes, migration, and warehouse solutions.

Responsibilities

• Lead multiple data engagements on GCP Cloud covering data lakes, engineering, and business intelligence.
• Design and develop distributed, high-volume multi-thread batch, real-time, and event processing systems.
• Interface with IT and business stakeholders to translate requirements into functional and non-functional specifications.
• Implement systems to validate data and monitor quality to ensure accuracy and availability.
• Mentor junior talent and contribute to the development of internal assets and accelerators.

Required Skills

• 15+ years of experience in technical, solutioning, and analytical roles.
• 5+ years of experience building and managing Data Lakes, Data Warehouses, and Data Integration solutions in GCP, AWS, or Azure.
• Expertise in Spark, PySpark, and Scala.
• Hands-on experience with Dataflow and DynamoDB.
• Proficiency with Oracle and other Cloud/On-Premise databases.
• Experience architecting end-to-end data pipelines for structured and unstructured data.
• Deep understanding of distributed computing environments like Hadoop and Cloud platforms.
• Ability to define non-functional boundaries including scalability, performance, security, and resilience.
• Experience managing business transformation projects for migrating on-premise data to the cloud.

Preferred Skills

• Experience with Machine Learning frameworks such as TensorFlow or PyTorch.

Key Skills

Education

Any Graduate