Skills Required

• Data Management Tools, Data Engineering, Analytics and Cloud Solutions (Mainly AWS & Azure)
• Should have experience in all phases of a project from discovery and planning through implementation and delivery
• Should have Good experience in Data Management tools (Fivetran, Talend, MySQL)
• Should have Good experience in Databricks, Snowflake, Python, Spark, Cloud, Data Lake, and Data warehouse Solutions.
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, data management, integration, consumption, Scheduling, Automation, Quality control, Migration, Deployment) using various cloud technologies in AWS/Azure/GCP
• Should have excellent communication and presentation skills.
• Should have experience in leading and managing teams for customer implementations

Responsibilities :

• Should be able to work closely with the client to understand the business use case, recommend the solutions/product usage into the client architecture, build the data pipeline, by using scalable, highly available and fault tolerant services in big data.
• Should be able to work with Customer teams, understand the architecture and propose Solutions to fix the problems.
• Should be able to handle Customer Demos
• Identify and manage risks / issues related to deliverables and arrive at mitigation plans to resolve the issues and risks
• To analyse latest Data Engineering, Analytics & big data technologies and its innovative applications; and bring these insights and best practices to Customer and platform teams