Data Engineer

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.  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 highly skilled Data Engineer with strong expertise in Snowflake, SQL, data pipelines, and cloud data warehousing. The ideal candidate will have hands-on experience in building, optimizing, and maintaining large-scale data solutions using Snowflake along with ETL tools, orchestration frameworks, and programming skills. 
 
Experience: 4-10 Years 

Location: Bangalore/Pune/Mumbai 

Mode of Work: Full Time 

Key Responsibilities: 

• Design, develop, and optimize Snowflake data warehouse solutions for performance, scalability, and reliability. 
  
• Write complex SQL queries, stored procedures, and scripts to support data transformation and reporting needs. 
  
• Implement ETL/ELT processes using tools such as DBT, Airflow, and Python. 
  
• Monitor and troubleshoot data pipelines, ensuring high availability and minimal downtime. 
  
• Apply best practices for data security, compliance, and governance within Snowflake environments 
  

Requirements: 

• 4–10 years of professional experience in data engineering or related fields. 
  
• Strong proficiency in SQL and experience with stored procedures. 
  
• Hands-on expertise with Snowflake architecture, performance tuning, and cost optimization. 
  
• Experience with orchestration tools like Apache Airflow. 
  
• Proficiency in DBT for data transformation and modeling. 
  
• Strong programming skills in Python. 
  
• Solid understanding of ETL processes and data integration techniques. 
  
• Experience in working with large datasets and cloud-based data solutions. 
  

Soft Skills: 

• Strong problem-solving and analytical abilities. 
  
• Excellent communication and collaboration skills. 
  
• Ability to work independently and in a team-oriented environment. 
  

Wissen Sites: