Data Engineer

What makes Techjays an inspiring place to work
At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.
We operate as part of the 1% of companies globally that can truly leverage AI the right way — not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.
Our strength lies in combining deep engineering with AI system design, building AI-native platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready.
Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced technology and AI systems for global clients.
We are looking for a strong Data Engineer who can build scalable, reliable, and production-grade data systems that support analytics, AI, and business-critical applications.
You will work on modern data platforms, data pipelines, cloud infrastructure, and data solutions that form the foundation for AI-native applications and intelligent systems.
Years of Experience -4+ years
Location - Coimbatore / Hybrid
Key Skills
Programming (Advanced): Python, SQL
Data Engineering (Expert): ETL/ELT, data pipelines, data transformation, data modelling
Databases (Advanced): PostgreSQL, MySQL, MongoDB or similar
Cloud Technologies (Proficient): AWS / GCP / Azure
Data Processing (Proficient): Apache Spark, Databricks or similar technologies
Workflow & Orchestration: Airflow, Prefect or similar
Tools: Git, Docker, Linux
AI/ML (Familiar): Understanding of data requirements for ML/AI systems, RAG pipelines, embeddings, or GenAI use cases
Roles and Responsibilities
Design, develop, and maintain scalable and reliable data pipelines.
Build and optimize ETL/ELT workflows across multiple data sources.
Design data models and data architectures to support analytics, AI, and business applications.
Develop data solutions using Python, SQL, and modern data engineering technologies.
Work with cloud-based data platforms and ensure scalability, reliability, and cost efficiency.
Process and manage large volumes of structured and unstructured data.
Ensure data quality, consistency, security, and availability across pipelines.
Collaborate with AI engineers, software engineers, data scientists, and product teams to support AI and data-driven solutions.
Troubleshoot pipeline and data-related issues and take ownership through resolution.
Contribute to improving data engineering practices, automation, monitoring, and observability.
Evaluate and adopt new technologies that improve the way we build and manage data systems.
What We’re Looking For Beyond Skills
Builder mindset — you think in systems, not just pipelines or tickets.
Ownership — you take data solutions from requirements to production.
Structured thinking — you can work through ambiguous data and business problems.
Problem-solving mindset — you investigate issues rather than working around them.
Learning mindset — you stay curious about evolving data and AI technologies.
Clear communication — you can work effectively with technical and business teams.
Ability to adapt — you are comfortable working in a fast-paced, evolving startup environment.
What We Offer
Competitive compensation
Flexible work environment
Paid holidays & flexible time off
Medical insurance (Self & Family up to ₹4 Lakhs per person)
Opportunity to work on production-grade AI and data systems
Exposure to global clients and high-impact projects
A culture that values clarity, integrity, and continuous growth
If you want to build data systems that power real-world products and AI applications, not just move data from one system to another, Techjays is the place to do it.

Work arrangement
No