This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Wissen Technology is hiring for Data Engineer 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 passionate Data Engineer to join our growing data team. The ideal candidate will have strong experience in building scalable data pipelines and modern cloud-based data platforms using Databricks, Azure, Snowflake, and Python. The role involves working closely with cross-functional teams to design, develop, and optimize data solutions that support analytics and business intelligence initiatives. Experience: 5 to 10 Years Location: Bangalore Mode of Work: Full Time
Job Responsibility
Design, build, and maintain scalable ETL/ELT pipelines using Databricks and Python
Develop and optimize data workflows on Azure cloud platform
Work extensively with Snowflake for data warehousing, performance tuning, and data transformations
Write efficient and reusable Python code with strong understanding of string manipulation and data processing techniques
Integrate data from multiple structured and unstructured data sources
Monitor and troubleshoot data pipelines to ensure reliability and performance
Collaborate with data architects, analysts, and business stakeholders to understand data requirements
Implement best practices around data quality, governance, and security
Participate in code reviews, deployment processes, and production support activities
Requirements
5+ years of experience in Data Engineering
Strong hands-on experience with Databricks
Good experience working on Azure Cloud services
Strong knowledge of Snowflake
Strong programming skills in Python
Good understanding of string handling/manipulation in Python
Experience with SQL and data transformation techniques
Knowledge of ETL/ELT frameworks and orchestration tools
Experience working with large-scale datasets and distributed data processing