Cloud Data Engineer

Wissen Technology is Hiring for Cloud 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 seeking a skilled Cloud Data Engineer with strong expertise in Azure and Snowflake to join our team. The ideal candidate will have hands-on experience in building and optimizing scalable data solutions, with proficiency in programming and strong problem-solving skills.

Experience: 3- 7 years

Location: Bangalore

Mode of Work: Full time -hybrid

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and solutions using Azure and Snowflake.
  
• Implement data ingestion, transformation, and integration processes to support business requirements.
  
• Write efficient, reusable, and maintainable code in Python or Java for data processing and automation.
  
• Collaborate with cross-functional teams (data architects, analysts, and business stakeholders) to deliver end-to-end data solutions.
  
• Ensure data quality, reliability, and security in alignment with organizational standards.
  
• Participate in performance optimization, troubleshooting, and continuous improvement of data systems.
  
  

Requirements:

• 3–7 years of hands-on experience as a Data Engineer.
  
• Strong expertise in Azure Cloud and Snowflake.
  
• Proficiency in Python or Java programming.
  
• Solid understanding of data engineering concepts, including ETL/ELT pipelines, data warehousing, and data modeling.
  
• Excellent communication and interpersonal skills.
  
  

Good to have skills:

• Experience with Azure Databricks and Azure Data Lake Storage (ADLS).
  
• Familiarity with RDBMS/SQL and database optimization.
  
• Exposure to big data frameworks and distributed data processing.
  
• Knowledge of CI/CD pipelines, DevOps practices, and version control systems (Git, Azure DevOps).
  
• Experience with data governance, security, and compliance practices.
  
  

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