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Senior Data Engineer

relatient.com Logo

Relatient

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Location:
India, Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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. More than 47,000 providers trust us to manage over150 million appointments annually, reducing delays in care, streamlining contact center operations, and helping patients get the care they need, when they need it. We’ve been recognized by Forbes, Deloitte, and Inc. 5000 for our growth, innovation, and inclusive culture. Your Role at Relatient This role is responsible for architecting, building, and optimizing the data ecosystem across Relatient, partnering closely with Product Management and Engineering teams to ensure high-quality, reliable data. The position leads the design and implementation of modern data warehouse architectures, establishes data modeling standards, and develops scalable ETL/ELT pipelines that integrate data from diverse sources. The engineer will own the end-to-end performance, reliability, and scalability of data systems—optimizing SQL, tuning schemas, overseeing data quality and lineage, and implementing robust security, backup, and disaster-recovery strategies.

Job Responsibility:

  • 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
  • Performs other duties as assigned

Requirements:

  • Bachelor's degree, B.E./ B. Tech, computer engineering, or equivalent work experience in lieu of a degree is required, Master’s degree preferred
  • 7+ years of experience in database engineering, data warehousing, or data architecture
  • Proven expertise with at least one major data warehouse platform (e.g. Postgres, Snowflake, Redshift, BigQuery)
  • Strong SQL and ETL/ELT development skills
  • Deep understanding of data modeling
  • Experience with cloud data ecosystems (AWS)
  • Hands-on experience with orchestration tools and version control (Git)
  • Experience in data governance, security, and compliance best practices
  • Experience building/generating analytical reports using Power BI
What we offer:
  • 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

Additional Information:

Job Posted:
December 11, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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