Job Description
Wissen Technology is hiring for Data Engineer - DB2 About Wissen Technology: 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. Job Summary: We are looking for a skilled and detail-oriented Data Engineer with 3–5 years of experience in building and managing scalable data solutions in data-intensive environments. The ideal candidate will have strong expertise in Python, Java, Spark/PySpark, SQL/NoSQL, and Kafka for developing high-performance batches and real-time data pipelines. The role involves designing ETL/ELT workflows, implementing data models, ensuring data quality and reliability, and working with cloud platforms such as AWS, GCP, or Azure. Candidates with experience in data warehousing, big data technologies, and ETL orchestration tools like Airflow and dbt will be preferred. Strong collaboration and problem-solving skills are essential to support business and analytics requirements effectively.
