Senior Data Engineer - INDIA

Vytwo

Dallas, TX
30+ days ago

Full-time

Want to know if you’re a fit?
Upload your resume and let our AI show you.

Skills

Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apacheunmatched
Application Integrationunmatched
Architectural Analysisunmatched
Best Practicesunmatched
Cataloguingunmatched
Cloud Computingunmatched
Code Reviewsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Lakeunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Design Patterns Programming Methodologiesunmatched
DevOpsunmatched
Distributed Computingunmatched
Dockerunmatched
Ecosystemsunmatched
Environmental Managementunmatched
GCP (Good Clinical Practices)unmatched
HL7 (Health Level 7)unmatched
Healthcareunmatched
Identify Issuesunmatched
Machine Learningunmatched
Metadataunmatched
Microsoft Product Familyunmatched
Microsoft Windows Azureunmatched
OLAP (OnLine Analytical Processing)unmatched
Performance Tuning/Optimizationunmatched
Problem Solving Skillsunmatched
Production Controlunmatched
Programming Languagesunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
Source Code/Configuration Management (SCM)unmatched
Stored Proceduresunmatched
Technical Leadershipunmatched
Technical/Engineering Designunmatched
Test Automationunmatched
Transaction Processing/Managementunmatched
Work From Homeunmatched

Description

Role: Senior Data Engineer
Remote Work: INDIA
Location: Hyderabad / Noida, INDIA
*Only Consultants local to INDIA are eligible.
*No visa Sponsorship

Primary Responsibilities:

Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads
Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency

Required Qualifications:

5+ years of experience in data engineering, software engineering, or similar disciplines
Hands-on experience with Databricks or Snowflake
Experience with orchestration tools such as Apache Airflow
Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
Advanced SQL skills and experience with OLTP and OLAP data modeling
Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
Familiarity with data governance tools, especially Microsoft Purview
Solid programming expertise in Python, PySpark, or similar languages

Preferred Qualifications:

Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
Experience with containerization (Docker, Kubernetes) for data workloads
Experience supporting machine learning workflows or analytical data science pipelines
Knowledge of distributed computing concepts and performance tuning

Numbers & Facts

Location	Dallas, TX
Job Type	Full-time

Resume Resources

Free Resume Templates Free Resume Builder