Data Engineer Techno-Functional

Job Summary

We are looking for a Techno-Functional Data Engineer who is passionate about solving realworld problems through data-driven systems. While prior e-commerce experience is a plus, it is not mandatory we welcome engineers, tinkerers, and builders who are eager to challenge themselves, build scalable systems, and work closely with product and business teams. In this role, you will be at the intersection of data engineering, automation, and product strategy, contributing to a modern SaaS platform that supports diverse and dynamic customer needs. Key

Responsibilities

Data Engineering & Automation

-

- Integrate structured and semi-structured data from APIs, external sources, and internal systems using Python and SQL.

- Work on core platform modules like data connectors, product catalogs, inventory sync, and channel integrations.

- Implement data quality, logging, and alerting mechanisms to ensure pipeline reliability.

- Build internal APIs and microservices using Flask or Django to expose enriched datasets.

Functional & Analytical Contribution

- Collaborate with Product and Engineering teams to understand use cases and translate

them into data-backed features.

- Analyze data using Pandas, NumPy, and SQL to support roadmap decisions and customer

insights.

- Build bots, automation scripts, or scraping tools to handle repetitive data operations or

integrate with third-party systems.

- Participate in designing reporting frameworks, dashboards, and analytics services for

internal and client use.

Mindset & Growth

- Be open to learning the dynamics of e-commerce, catalog structures, order flows, and

marketplace ecosystems.

- Take ownership of problems beyond your immediate knowledge area and drive them to

closure.

- Engage with a product-first engineering culture where outcomes > tech stack, and impact

matters most.

Required Skills & Qualifications

- 2+ years of experience in data engineering, backend development, or technical product

analytics.

- Strong Python skills, with experience in:

- Data libraries: Pandas, NumPy

- Web frameworks: Flask, Django

- Automation: Requests, BeautifulSoup, Scrapy, bot frameworks

- Image processing: Pillow, OpenCV (a plus)

- Proficient in SQL and hands-on with MySQL, PostgreSQL, or MongoDB.

- Experience building or consuming REST APIs.

- Familiarity with version control tools like Git and collaborative workflows (CI/CD, Agile).

- Strong problem-solving mindset and willingness to learn domain-specific complexities.

Nice to Have (But Not Required)

- Exposure to cloud data platforms like AWS, GCP, or Azure.

- Experience with workflow orchestration tools like Airflow, DBT, or Luigi.

- Basic knowledge of BI tools (Power BI, Tableau, Looker).

- Prior work on data-centric products or SaaS tools.