About Techversant:
Techversant is a global technology services and solution’s company providing high-quality end-to-end IT Solutions and Services to its clients across the globe for more than 17 years. Techversant has been providing Technology services in the key areas of Digital Transformation,Understanding the Evolving Industrial Scenarios, Investment Priorities and Technology Disruption.
We offers expertize and consultation in multiple technology domains like – ColdFusion,Python, Java, .NET, Node JS, Ruby on Rails, Golang, PHP, Artificial intelligence, Blockchain, IOS,Android, Flutter, React Native, Angular, React Vue,etc catering to various industry verticals globally.
Role Summary:
We are seeking a highly skilled Data Engineer with a specialization in databases to design, optimize, and maintain scalable data infrastructure. The ideal candidate will have 4+ years of experience in building robust ETL/ELT pipelines, architecting future-proof database schemas, and ensuring data accuracy across large-scale environments. The candidate will collaborate with cross-functional teams including data analysts, data scientists, and software engineers to design and maintain robust data infrastructure that supports analytics, AI/ML workflows, and enterprise reporting systems.
Key Responsibilities
Database Architecture & Optimization
- Design normalized, denormalized, and dimensional schemas (Star/Snowflake) tailored for analytics and AI workloads.
- Implement indexing, partitioning, and query optimization strategies for high-performance databases.
- Ensure data accuracy, consistency, and reliability through validation and monitoring.
Data Engineering & ETL/ELT
- Build and maintain end-to-end ETL/ELT pipelines across on-premise and cloud environments.
- Develop ingestion and transformation workflows using Airflow, AWS Glue, or Azure Data Factory.
- Apply best practices for incremental loading, CDC, and error handling.
- Provide guidance on data segregation, feature engineering, and performance optimization.
- Deliver clean, reliable, and well-structured datasets for AI pipelines.
Cloud & Infrastructure
- Architect and operate data storage and streaming solutions on AWS, Azure, or GCP.
- Automate infrastructure provisioning.
- Integrate CI/CD pipelines for data infrastructure deployment.
Governance & Compliance
- Implement data lineage, metadata management, and governance frameworks.
- Enforce data security policies and compliance with GDPR, HIPAA, and other standards.