Description

You will design and implement enterprise-grade, large-scale data processing systems and big data solutions.

Responsibilities

• Translate business requirements into technical architectures, including platform selection and interface design.
• Lead client assessments to prepare current and future state architectures with actionable recommendations.
• Propose best practices for data movement, manipulation, and storage, covering ingestion, query techniques, and volume/velocity management.
• Collaborate with project teams through the full lifecycle from inception to production deployment.
• Develop statements of work, implementation plans, and resource estimates in coordination with practice leads.

Required Skills

• 5+ years of experience in data architecture or enterprise data management.
• Deep expertise in Data Warehousing, Dimensional Modelling, and Star/Snowflake schema design.
• Proven experience with ETL processes, data conversion, and data warehouse optimization.
• Hands-on experience with Java, Scala, and Shell scripting.
• Proficiency with Postgres, MongoDB, and Cassandra.
• Experience managing disparate datasets in formats such as XML and JSON.
• Strong knowledge of cluster and parallel architecture, distributed RDBMS, and NoSQL platforms.
• Ability to design systems for high-scale data variety, volume, and velocity.
• Master's degree in a relevant field.

Key Skills

Education

Master's degree