Description

Design and architect large-scale data products using the Hadoop ecosystem. Own the full SDLC from design to delivery.

Responsibilities

• Architect data models and software solutions following full SDLC methodology.
• Design and develop distributed computing algorithms and data analytics processes.
• Configure single-node and multi-mode Hadoop clusters.
• Implement data processing workflows using MapReduce and HDFS.
• Deliver high-quality products through structured application design.

Required Skills

• 3+ years of experience working with the Hadoop ecosystem.
• Expert-level knowledge of Hadoop, HDFS, Hive, and MapReduce.
• Proficiency in core Java and Java development.
• Experience with Spark and the broader Hadoop stack.
• Strong background in relational database design, SQL, stored procedures, and triggers.
• Experience with CCDA and FHIR standards.
• Proven ability in algorithm design and software architecture.
• Solid understanding of the full SDLC.

Preferred Skills

• Experience in distributed computing and large-scale data analytics.

Key Skills

Education

Any graduate