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Wissen Technology

Verified Job Source

Delivering 2X Impact with Superior Strategy, Design, & Engineering

Bangalore, Karnataka

IT Services and IT Consulting
1,001–5,000 people

About

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Whether it’s AI/ML for unstructured data processing, cloud enablement, or data engineering, Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our proprietary InterviewNinja platform ensures we hire the best, building high-performing teams that deliver unmatched results. Today, Wissen Technology has a global footprint with 2,000+ employees across offices in the US, UK, UAE, India, and Australia. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Open positions

Data Engineer

Hybrid · Montréal

Design, build, and optimize scalable Apache Spark data pipelines and backend services for data ingestion, transformation, and storage. Collaborate across data and platform teams to improve reliability, performance, data quality, governance, and maintainability.

Data Engineer

Hybrid · Montréal

Design, build, and optimize scalable Apache Spark data pipelines and backend services for data ingestion, transformation, and storage. Collaborate with data and platform teams to improve performance, reliability, data quality, governance, and maintainability across distributed systems.