Vidushi Infotech

Sr. AWS Data Engineer (ARC/HR/SAWSDE/03/0726)

Location unstated

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hirly's read of this role

Role family: Data & ML
Seniority: Senior
Work mode: On-site / unstated
First seen by hirly: 23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Role Overview :

We are seeking a highly skilled Senior Data Engineer with 5+ years of experience to join our team. This role is focused on designing and building robust data assets through high-performance data pipelines. You will be a key player in modernizing our data infrastructure, transitioning legacy codebases into clean, scalable architectures, and ensuring the highest standards of code quality through Test-Driven Development (TDD).

Key Responsibilities:

Data Pipeline Development: Design, develop, and maintain complex ETL/ELT pipelines to build high-value data assets.
Legacy Modernization: Lead the code refactorization of legacy codebases, improving readability, maintainability, and performance.
System Optimization: Perform deep code optimization using Spark SQL and PySpark to handle large-scale datasets efficiently.
Quality Assurance: Implement a Test-Driven Development (TDD) approach, writing comprehensive unit tests to ensure functionality and catch bugs early in the lifecycle.
Complex Problem Solving: Isolate and resolve difficult bugs, including those related to performance bottlenecks, concurrency issues, and complex logic flaws.
Cloud Architecture: Design and deploy solutions utilizing the full AWS stack, explaining the trade-offs and benefits of specific services for various use cases.

Technical Requirements:

Core Programming & Data Engineering

5+ years of experience in hands-on programming with Python and PySpark .
Expertise in Boto3 and various Python frameworks and libraries, adhering strictly to Python best practices (PEP 8).
Strong experience in Spark SQL and PySpark optimization techniques (e.g., partitioning, caching, broadcast joins).

Cloud & Infrastructure (AWS)

Deep architectural knowledge of AWS services , including: S3, EC2, Lambda, Redshift, CloudFormation

DevOps & Tools

Advanced understanding of Git (branching strategies, PR reviews).
Experience with JFrog Artifactory for dependency management and artifact storage.
Proficiency in CI/CD pipelines and automated testing frameworks.

Professional Attributes:

Analytical Mindset: Ability to debug complex, non-obvious issues in distributed systems.
Clean Coder: Passion for writing "clean code" and mentoring junior engineers on maintainability.
Architectural Thinking: Ability to explain the "why" behind choosing specific AWS components over others.

Original posting on Vidushi Infotech's site ↗

Listed on hirly, a job board. hirly is not the employer: Vidushi Infotech is hiring for this role.

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