What you'll do:

• Experience to design, build, and maintain robust data infrastructure, including data warehouses and pipelines. 
• You will be responsible for implementing ETL processes, working with data warehouses like Redshift and ClickHouse, and managing data pipelines for efficient data flow. 
• Design, develop, and optimize scalable data pipelines and ETL processes.
• Manage and maintain data warehouses such as Redshift or ClickHouse, ensuring data accuracy, consistency, and performance.
• Build and manage data lakes to support large-scale data storage and retrieval.
• Collaborate with data scientists, analysts, and other stakeholders to ensure smooth data accessibility and delivery.
• Monitor and troubleshoot data pipelines to maintain reliability and performance. Work with ETL tools and Python to automate and streamline data integration processes.
• Contribute to data architecture decisions, ensuring the system scales effectively and meets business requirements

What makes you great fit:

• Data Warehousing: 5+ years of experience working with data warehouses like Amazon Redshift, ClickHouse, or similar systems.
• ETL Processes: Strong experience in designing, building, and maintaining ETL pipelines using industry-standard tools.
• Python Expertise: Proficiency in Python for data engineering tasks such as scripting, automation, and working with data frameworks.
• Data Pipeline: Hands-on experience building and optimizing data pipelines for structured and unstructured data.
• Data Lakes: Experience with data lake architectures and managing large-scale data storage is a plus.
• Knowledge Graph DB: Exposure to graph databases like Neo4J is a plus.
• Vector Databases: Familiarity with vector databases for handling large-scale unstructured data is a plus.
• Strong problem-solving skills and the ability to work independently or in a team.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Strong analytical mindset and attention to detail.
• Experience with Data Lakes, Knowledge Graph Databases (Neo4J), and Vector Databases is an added advantage.

Hiring for : R360

R360 powers a data-driven customer engagement ecosystem that enables the world’s leading organizations to earn customer loyalty every day.