Description

Key Skills: Solution Architecture, Solution Design, Requirement Gathering, Apache Spark, Databricks, Cloud Data Platforms, ETL, Azure Data Lake, SDLC, Gap Analysis, Data Engineering, Analytics

Roles & Responsibilities

• Design and deliver end-to-end data and analytics solutions.
• Gather business requirements and translate them into technical solutions.
• Develop and optimize data processing workflows using Apache Spark and Databricks.
• Build scalable and reliable cloud-based data solutions.
• Troubleshoot technical issues and provide timely resolutions.
• Collaborate with business and technical teams throughout the project lifecycle.
• Recommend appropriate tools and technologies for solution delivery.
• Support solution implementation and continuous improvement initiatives.

Experience Required

• 7-10 years of experience in Solution Engineering or Data Platform delivery.
• Strong experience in Solution Architecture and Solution Design.
• Hands-on experience with Apache Spark and Databricks.
• Experience in requirement gathering and SDLC.
• Knowledge of ETL processes and Azure Data Lake is preferred.
• Experience in Gap Analysis is an added advantage.
• Strong analytical, communication, and problem-solving skills.

Education: Any Graduation

Key Skills

Education

Any Graduate