Description

You will build and scale real-time streaming and graph-based analytics platforms.

Responsibilities

• Design and implement data pipelines using Kafka and Spark.
• Develop solutions leveraging TigerGraph or Neo4j for graph analytics.
• Own the engineering lifecycle for end-to-end analytics platforms.
• Ensure architectural consistency across large-scale data systems.

Required Skills

• 12+ years of professional experience in data engineering.
• Expertise in TigerGraph or Neo4j.
• Strong proficiency in Java, Scala, or Python.
• Experience implementing batch and streaming pipelines with Kafka and Spark.
• Proven experience building end-to-end analytics platforms.

Preferred Skills

• Experience scaling graph analytics for business problems.
• Experience collaborating with product teams, analysts, and data scientists.

Key Skills

Education

Any Graduate