Data Engineer

Wissen Technology is Hirin g 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 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 seeking a skilled and motivated Data Engineer to join our dynamic team in Bangalore. In this role, you will be responsible for designing and developing scalable data pipelines, working with large-scale distributed systems, and enabling efficient data access for analytics and business intelligence. This is an excellent opportunity to work with cutting-edge big data technologies and make a meaningful impact on our data-driven initiatives. 

Experience: 2 - 4 Years  

Location:  Bangalore 

Mode of Work: Hybrid  

Key Responsibilities:  

• Design, develop, and maintain scalable and reliable data pipelines using Scala and Apache Spark 
  
• Build and manage distributed data processing systems to handle large-scale data workloads efficiently 
  
• Develop and optimize Hive queries and data models to support analytical and reporting use cases 
  
• Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver robust data solutions 
  
• Ensure data quality, integrity, and consistency across various data sources and platforms 
  
• Monitor, troubleshoot, and improve the performance and reliability of data pipelines 
  
• Contribute to architectural decisions and participate in the evaluation of new tools and technologies 
  
• Maintain comprehensive technical documentation and uphold best practices in data engineering 
  

Required Skills and Qualification:  

• 2 4 years of hands-on experience in data engineering 
  
• Proficiency in Scala and Java programming languages 
  
• Strong experience with Apache Spark for distributed data processing 
  
• Expertise in Hive and SQL for data querying, transformation, and modeling 
  
• Familiarity with the Hadoop ecosystem and data lake architectures  
  
• Understanding of ETL processes, data warehousing concepts, and performance tuning 
  
• Experience with version control systems such as Git 
  
• Strong problem-solving skills and the ability to write clean, efficient, and maintainable code 
  
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field  
  

Good to Have Skills: 

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