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Job Description

Job Title: Data Engineer

Location: Hyderabad, India

Job Type: Full Time

Experience: 5 – 8 Years

Working Model: On-Site (No remote or work-from-home options available)

Work Schedule: Mountain Time Zone (3:00 PM to 11:00 PM IST)

Role Overview

The Data Engineer will be responsible for designing and implementing scalable backend systems, leveraging Python and PySpark to build high-performance solutions. The role requires a proactive and detail-orientated individual who can solve complex data engineering challenges while collaborating with cross-functional teams to deliver quality results.

Key Responsibilities

• Develop and maintain backend systems using Python and PySpark.
• Optimise and enhance system performance for large-scale data processing.
• Collaborate with cross-functional teams to define requirements and deliver solutions.
• Debug, troubleshoot, and resolve system issues and bottlenecks.
• Follow coding best practices to ensure code quality and maintainability.
• Utilise tools like Palantir Foundry for data management workflows (good to have).

Qualifications

• Strong proficiency in Python backend development.
• Hands-on experience with PySpark for data engineering.
• Excellent problem-solving skills and attention to detail.
• Good communication skills for effective team collaboration.
• Experience with Palantir Foundry or similar platforms is a plus.

Preferred Skills

• Experience with large-scale data processing and pipeline development.
• Familiarity with agile methodologies and development tools.
• Ability to optimise and streamline backend processes effectively.
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Supercharge Your Career as a Technical Lead - Python at Technoidentity!

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At Technoidentity, we’re a Data + AI product engineering company trusted to deliver scalable and modern enterprise solutions. Join us as a Senior Python Developer and Technical Lead, where you'll guide high-performing engineering teams, design complex systems, and deliver

clean, scalable backend solutions using Python and modern data technologies. Your leadership will directly shape the architecture and execution of enterprise projects, with added strength in understanding database logic including PL/SQL and PostgreSQL/AlloyDB.

What’s in it for You?

• Modern Python Stack – Python 3.x, FastAPI, Pandas, NumPy, SQLAlchemy, PostgreSQL/AlloyDB, PL/pgSQL.

• Tech Leadership – Drive technical decision-making, mentor developers, and ensure code quality and scalability.

• Scalable Projects – Architect and optimize data-intensive backend services for highthroughput and distributed systems.

• Engineering Best Practices – Enforce clean architecture, code reviews, testing strategies, and SDLC alignment.

• Cross-Functional Collaboration – Lead conversations across engineering, QA, product, and DevOps to ensure delivery excellence.

What Will You Be Doing?

Technical Leadership

• Lead a team of developers through design, code reviews, and technical mentorship.

• Set architectural direction and ensure scalability, modularity, and code quality.

• Work with stakeholders to translate business goals into robust technical solutions.

Backend Development & Data Engineering

• Design and build clean, high-performance backend services using FastAPI and Python

best practices.

• Handle row- and column-level data transformation using Pandas and NumPy.

• Apply data wrangling, cleansing, and preprocessing techniques across microservices and pipelines.

Database & Performance Optimization

• Write performant queries, procedures, and triggers using PostgreSQL and PL/pgSQL.

• Understand legacy logic in PL/SQL and participate in rewriting or modernizing it for PostgreSQL-based systems.

• Tune both backend and database performance, including memory, indexing, and query optimization.

Parallelism & Communication

• Implement multithreading, multiprocessing, and parallel data flows in Python.

• Integrate Kafka, RabbitMQ, or Pub/Sub systems for real-time and async message

processing.

Engineering Excellence

• Drive adherence to Agile, Git-based workflows, CI/CD, and DevOps pipelines.

• Promote testing (unit/integration), monitoring, and observability for all backend systems.

• Stay current with Python ecosystem evolution and introduce tools that improve productivity and performance.

What Makes You the Perfect Fit?

• 6–10 years of proven experience in Python development, with strong expertise in designing and delivering scalable backend solutions