JOB TITLE: Python Data Engineer

EMPLOYER BACKGROUND: An innovative, rapidly growing AI-driven cloud-based SaaS platform specializing in automated software quality engineering and comprehensive testing solutions.

ROLE OVERVIEW: We are seeking a highly proficient Python Data Engineer passionate about building scalable, high-performance data solutions. The chosen candidate will operate in a collaborative environment, focusing heavily on daily code implementation and ensuring seamless compatibility with advanced artificial intelligence and automation testing workflows.

CANDIDATE PREREQUISITES

Professional Tenure: 4 to 6 years of overall and relevant professional experience.

CORE RESPONSIBILITIES

- Build, optimize, and maintain robust data pipelines and storage solutions to guarantee data quality, accessibility, and performance for automation testing and AI applications.
- Develop, implement, and maintain sophisticated Python-based solutions tailored for ETL processes, data transformation, and system integration.
- Integrate data engineering workflows directly with artificial intelligence and machine learning applications, ensuring strict compatibility and massive scalability.
- Design and execute REST APIs and WebSocket connections to facilitate real-time data transfer and integration.
- Collaborate with dedicated AI and R&D; teams to support the rollout of new AI features and ensure flawless integration with core data systems.
- Operate on distributed systems to maintain high scalability and reliability for high-volume, complex data processing tasks.
- Implement and continuously optimize data solutions for both structured and unstructured data, leveraging SQL and NoSQL databases.




- Actively participate in high-level and low-level system design and architecture discussions to construct high-performance, maintainable systems.

MANDATORY SKILLS AND TARGETED PROFICIENCIES

- Python Programming
- Data Engineering and ETL Pipelines
- Generative AI and AIOps Integration
- REST APIs and WebSockets
- SQL and NoSQL Databases
- Distributed Systems
- High-Level and Low-Level System Design
- Data Warehouses and Data Lakes
- Robotic Process Automation (RPA)
- UI and Integration Problem Solving

WHAT WE ARE LOOKING FOR

- Hands-on Python Expertise: Demonstrated ability to write efficient, maintainable, and highly scalable code on a daily basis.
- Implementation-Oriented Approach: Unyielding focus on delivering functional, working code and practical solutions over theoretical designs.
- Team Collaboration: Proactive, communicative team player who thrives in a highly collaborative R&D; environment.
- Data Expertise: Comprehensive, authoritative knowledge of data transformation, storage, and real-time data integration techniques.

LOGISTICS AND SELECTION PROCESS

- Work Mode: Hybrid environment requiring a minimum of 2 days per week and 10 days per month operating directly from the office.
- Commute: Employees assume full responsibility for managing their own daily commuting arrangements.
- Working Hours: Adaptable general work timings designed strictly to promote optimal productivity.
- Joining Timeline: Immediate availability is highly prioritized, carrying a strict maximum onboarding window of 45 days.
- Selection Process: The evaluation comprises 3 to 4 comprehensive discussion rounds, heavily featuring a mandatory L1 technical assessment, 1 to 2 subsequent technical interviews, and a final human resources discussion.

📌 Python Data Engineer (Karnataka)
🏢 Manav Sansadhan Vikas Salaahkar
📍 Karnataka