Senior Data Engineer

At Relatient, we’re on a mission to simplify access to care – intelligently. As the leader in intelligent scheduling and patient engagement, we help healthcare organizations connect with patients more effectively through AI-powered workflows, real-time automation, and flexible access tools.

Requirements

• Architect, design, and implement robust end-to-end data warehouse (DW) solutions using modern technologies (e.g. Postgres or on-prem solutions)
• Define data modeling standards (dimensional and normalized) and build ETL/ELT pipelines for efficient data flow and transformation
• Integrate data from multiple sources (ERP, CRM, APIs, flat files, real-time streams)
• Develop and maintain scalable and reliable data ingestion, transformation, and storage pipelines
• Ensure data quality, consistency, and lineage across all data systems
• Analyst and tune SQL queries, schemas, indexes, and ETL process to maximize database and warehouse performance
• Monitor data systems and optimize storage costs and query response times
• Implement high availability, backup, disaster recovery, and data security strategies
• Collaborate with DevOps and Infrastructure teams to ensure optimal deployment, scaling, and performance of DW environments
• Work closely with Data Scientists, Analysts, and Business Teams to translate business needs into technical data solutions
• Provide strategic recommendations on data architecture, technology adoption, and process improvement
• Identify bottlenecks in current data architecture and propose innovative solutions to improve efficiency, scalability, and maintainability
• Stay up to date with emerging data technologies, cloud solutions, and best practices in data engineering

Benefits

• INR 5,00,000/- of life insurance coverage for all full-time employees and their immediate family
• INR 15,00,000/- of group accident insurance
• Education reimbursement
• 10 national and state holidays, plus 1 floating holiday
• Flexible working hours and a hybrid policy