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.
- Solid analytical, communication, and problem-solving skills.