Title: Senior Data Engineer (DBT & Databricks)

Job Type: Full-Time/Permanent

Location: Pune, India (REMOTE)

About the Role

Plumlogix is seeking a skilled Data Engineer with strong DBT and Databricks experience to support a strategic enterprise data modernization initiative. This role will play a critical part in building and expanding a modern analytics platform designed around a Medallion Architecture, semantic data models, and trusted data products that empower business users and agency partners with reliable insights.
The ideal candidate will have hands-on experience developing data models, building scalable data pipelines, implementing data quality frameworks, and supporting healthcare analytics solutions within Databricks and DBT Cloud environments.

Project Overview

The client is building a next-generation analytics platform leveraging Databricks and DBT Cloud. The current MVP phase is expected to conclude by the end of July, after which the selected consultant will help scale the platform over the next 12+ months by migrating and modernizing legacy analytics workloads into the new DBT-led architecture.

The goal is to establish a trusted data ecosystem that enables users to:

Discover and understand enterprise data assets
Trust data through governance and quality controls
Consume curated semantic models for analytics and reporting
Support critical reporting needs for healthcare agency partners

Key Responsibilities

Develop and maintain DBT models, transformations, semantic layers, and analytics-ready datasets
Build and support Databricks pipelines using modern data engineering best practices
Design and implement Medallion Architecture (Bronze, Silver, Gold layers)
Develop scalable ELT workflows leveraging Databricks Auto Loader and Delta Lake capabilities
Support migration efforts from Azure Data Factory (ADF) to Databricks-native solutions
Implement data governance, lineage, documentation, and metadata management processes
Create and maintain data quality testing frameworks within DBT
Collaborate with architects, analysts, and business stakeholders to deliver trusted data products
Optimize SQL and Python-based transformations for performance and scalability
Participate in deployment, monitoring, support, and operational activities

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or a related field from a recognized institution.
4 years of hands-on experience with DBT Cloud
4 years of hands-on experience with Databricks development and support
Strong experience building and maintaining semantic data models
Strong experience with SQL, Python, and PySpark.
Experience building ELT/ETL pipelines in cloud data environments
Hands-on experience with Databricks Auto Loader and Delta Lake
Experience working with Medallion Architecture and modern lakehouse patterns
Strong understanding of data modeling concepts and analytics engineering practices

Ideal Candidate Profile

The ideal candidate is a hands-on Data Engineer/Analytics Engineer who enjoys building modern data platforms from the ground up. They possess strong DBT modeling expertise, understand healthcare data challenges, and can collaborate effectively with architects and business stakeholders to create trusted, scalable, and governed analytics solutions.

Estimated Allocation

50% DBT Modeling, Semantic Layer Development & Analytics Engineering
25% Databricks Pipeline Development & Platform Support
25% Data Governance, Data Quality, Testing & Documentation

Preferred Qualifications

DBT Certification
Databricks Developer Certification
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or a related field from a recognized institution
Experience developing healthcare analytics and reporting solutions
Familiarity with healthcare data models, regulatory considerations, and reporting requirements
Experience delivering trusted datasets for healthcare business users and stakeholders

Senior Data Engineer (DBT & Databricks) - REMOTE