Data Engineer
First seen by Alion on Sep 25, 2026.
Data Engineer (Supply Chain Analytics)
Location : Gurgaon (Work from Office, 5 Days a Week)
Employment Type : Full-Time
About Us :
We are transforming global logistics and operational visibility through our advanced B2B SaaS supply chain analytics platform. Our software ingests millions of data points daily - from warehouse inventories and transport telemetry to supplier metrics - and turns them into real-time operational intelligence. Our engineering culture values deep data modeling, high-concurrency architecture, and clean, modular code. If you want to solve complex data challenges that keep global supply chains moving, you will thrive here in our Gurgaon office.
The Role :
We are seeking an energetic Data Engineer with 2 years of experience to take ownership of our data pipelines and warehousing infrastructure. You will work closely with our backend and analytics teams to design, build, and optimize scalable systems that ingest, clean, and store large-scale supply chain and inventory datasets efficiently.
Key Responsibilities :
- Pipeline Development : Build and maintain scalable ETL/ELT pipelines using Python and SQL to process high-volume logistics and inventory data.
- Data Warehousing : Support the management and optimization of our data warehouse architecture to ensure high-speed analytical querying.
- Data Quality & Integrity : Implement validation rules and monitoring checks to guarantee 100% data accuracy across our analytics dashboards.
- Collaboration : Partner with backend engineers and product analysts to provision clean datasets and support reporting engines.
- Performance Tuning : Optimize SQL queries and data ingestion processes to handle growing supply chain data volumes.
What We Are Looking For :
- Experience : Exactly or around 2 years of professional experience as a Data Engineer building production-grade data pipelines.
- Technical Stack : Strong command of Python and advanced SQL for data manipulation and pipeline development.
- Domain Exposure : Familiarity with data warehousing concepts, relational databases, and interest in supply chain or logistics analytics.
- Tooling : Experience with workflow orchestrators (Airflow, Prefect) and containerization tools (Docker).
- Work Arrangement : Comfortable working from our Gurgaon office, 5 days a week.
What We Offer :
- Competitive Compensation : Attractive salary package with performance bonuses and growth opportunities.
- In-Office Culture : Vibrant, collaborative office environment in Gurgaon with daily team interactions and modern amenities.
- Learning & Growth : Annual stipend for data certifications and technical courses.
- Wellness : Comprehensive health insurance coverage.
Our Hiring Process :
- Initial Screening : 30-minute background chat with our talent team.
- Technical Assessment : Practical SQL/Python data pipeline challenge.
- In-Person Interview : Technical deep dive at our Gurgaon office.
- Final Chat & Offer : Welcome aboard!
Skills
Python, SQL, ETL, Data Warehousing, Apache Airflow, Data Pipeline, Data Validation