Sr. Data Engineer

Wissen Technology is hiring for Sr.

Data Engineer

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.

Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia.

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 with the flexibility to adapt to their evolving business needs.

Wissen leverages its thought leadership and technology prowess to drive superior business outcomes.

Our success is powered by top-tier talent.

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.

We are seeking a skilled Data Engineer with strong expertise in Python, PySpark, Databricks, and SQL to build, optimize, and maintain scalable data pipelines.

The ideal candidate will have hands-on experience with Azure Databricks, Apache Kafka, CI/CD practices, and production-grade data pipeline development, ensuring reliable and high-performance data processing solutions.

• Candidate Should be good with SQL base.
• Python, Pyspark and Databricks come first in order of priority
• Proficiency in PySpark, Pandas, and SQL
• Experience with Azure Databricks
• Strong hands-on experience with Apache Kafka (real-time streaming)
• Experience with workflow orchestration tools
• Exposure to CI/CD tools such as Jenkins
• Experience handling production data pipelines. More implicit is that candidates have deployed data pipelines in production, and it was not a POC.

• Data observability, monitoring, or data quality frameworks
• Streaming analytics or event-driven architecture experience
• DevOps or infrastructure-as-code exposure

• Website: www.wissen.com
• LinkedIn: Wissen Technology | LinkedIn
• Wissen Leadership: Leadership Team | Wissen
• Wissen Live: LinkedInログイン | LinkedIn
• Wissen Thought Leadership: https://www.wissen.com/articles/