Description

You will design, prototype, and implement data products to support real-time and batch data processing, data science, and analytics needs.

Responsibilities

• Design and operate scalable solutions to flow data from production systems into analytical platforms and end-user applications.
• Build and integrate robust data processing pipelines for enterprise-level business analytics using agile techniques.
• Execute data modeling projects across big data, MPP, and OLAP tech stacks.
• Translate business requirements into technical specifications, including facts, dimensions, filters, and aggregations.
• Develop automated monitoring, alerting, and self-healing features within consumption pipelines.

Required Skills

• 5+ years of professional experience.
• Proficiency in Java, Scala, or Python.
• Hands-on experience with Kafka and Spark Streaming.
• Experience with Hadoop and Hive.
• Strong skills in relational and multi-dimensional database modeling and optimization.
• Experience working with large-scale datasets and data architecture.
• Ability to perform high-level design, functional modeling, and module breakdown.
• Any Graduate degree in Computer Science, Engineering, Technology, or a related field.

Key Skills

Education

Any Graduate