Description

Design and deliver end-to-end data and analytics solutions, translating business requirements into technical architecture.

This role is on-site.

Responsibilities

• Develop and optimize data processing workflows using Apache Spark and Databricks.
• Build scalable, reliable cloud-based data solutions and ETL pipelines.
• Gather business requirements and conduct gap analysis to define solution scope.
• Troubleshoot technical issues and provide timely resolutions during implementation.
• Collaborate with business and technical teams throughout the SDLC.

Required Skills

• 7+ years of experience in Solution Engineering or Data Platform delivery.
• Strong expertise in Solution Architecture and Solution Design.
• Hands-on proficiency with Apache Spark and Databricks.
• Experience with Cloud Data Platforms and ETL processes.
• Knowledge of Azure Data Lake is preferred.
• Familiarity with SDLC and requirement gathering methodologies.
• Strong analytical and problem-solving skills.

Key Skills

Education

Any Graduate