Description

Design and manage end-to-end data engineering lifecycles and analytics solutions for scalable infrastructure.

Responsibilities

• Design end-to-end solutions, including prototyping and usability testing.
• Manage the full data engineering lifecycle, addressing non-functional requirements and operational stability.
• Develop and maintain robust data pipelines using Spark and Kafka.
• Build and maintain data visualizations and analytics workflows.

Required Skills

• 10+ years of experience in Business Intelligence and Analytics.
• 2+ years of hands-on experience with Google Cloud Data Products: BigQuery, Dataflow, and Dataproc.
• Proficiency in Apache Spark using Scala, Python, or Java.
• Strong expertise in Apache Kafka for stream processing.
• Experience with Apache Airflow for workflow orchestration.
• Advanced SQL skills.
• Experience with modern NoSQL data stores.
• Ability to handle end-to-end solution design and data visualization.

Preferred Skills

• Any Graduate degree in a technical field.

Key Skills

Education

Any Graduate