Senior Data Engineer

Med-Metrix

. Collaborate with the Team Lead and cross-functional teams to gather and refine data requirements for Denials AI solutions .

Posted 9/18/2026full-timeChennai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing ETL/ELT pipelines using Python, Dagster, and AWS data services, while ensuring data quality and HIPAA compliance. Proficient in PostgreSQL for data modeling and query optimization, with a strong focus on mentoring and collaboration within cross-functional teams.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentPostgreSQL Data ModelingAWS Data ServicesHIPAA ComplianceMentoring Junior Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingETL/ELTWorkflow OrchestrationData GovernancePerformance TuningInfrastructure-as-CodeVersion ControlCI/CD

Soft Skills

CommunicationCollaborationMentoringProblem-SolvingDocumentation

Tools & Technologies

DagsterDBTAWS CloudWatchGitHubMicrosoft Office Suite

Industry Keywords

Healthcare Data StandardsPHI HandlingInformation Security

Tech Stack

Tools & technologies

AWSETLMS SQL ServerOraclePandasPostgresPySparkPythonSQLSSIS

About the role

Key responsibilities & impact

Collaborate with the Team Lead and cross-functional teams to gather and refine data requirements for Denials AI solutions
Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services
Develop and maintain PostgreSQL data models; write efficient SQL for querying and performance tuning
Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures
Enforce data quality and governance standards, including HIPAA compliance for PHI handling
Conduct code reviews, share best practices, and mentor junior data engineers
Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms
Document data workflows, schemas, and operational runbooks
Respond to on-call data pipeline incidents
Use, protect, and disclose PHI in accordance with HIPAA standards; comply with Information Security and HIPAA policies

Requirements

What you’ll need

Bachelor’s or master’s degree in Computer Science, Data Engineering, or related field
5+ years of hands-on experience building and operating production-grade data pipelines
Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or similar tools such as Microsoft SSIS, AWS Glue, or Air Flow
Strong SQL skills on PostgreSQL for data modeling and query optimization or similar technologies such as Microsoft SQL Server, Oracle, or AWS RDS
Working knowledge of AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch
Basic proficiency in Python and Python data frameworks (Pandas, PySpark)
Experience with version control (GitHub) and CI/CD for data projects
Familiarity with healthcare data standards and HIPAA compliance
Experience mentoring or leading small technical efforts
Proficiency in Microsoft Office Suite
Excellent written and verbal communication skills required
Must possess a smartphone or electronic device capable of downloading applications for multifactor authentication and security purposes