Data Engineer

Wissen Technology is hiring forData 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 and detail-oriented Data Engineer (4–6 years) to design, build, and optimize scalable data pipelines using modern data stack technologies. The role focuses on working with DBT, Snowflake, SQL, and Python to deliver high-quality, reliable data solutions that support business analytics and decision-making. The ideal candidate will have strong expertise in data modeling, ETL/ELT processes, and cloud-based data warehousing.

Experience: 4- 6 Years

Location:Bangalore/Mumbai

Mode of Work:Hybrid

Key Responsibilities:

• Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB.
  
• Collaborate with data analysts, QA and business teams to build scalable data models.
  
• Implement data transformations, testing, and documentation within the DBT framework.
  
• Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
  
• Use Python (preferred) for automation, scripting, and additional data processing as needed.
  
  

Required Skills and Qualification

• 4+ years of experience in data engineering or related roles.
  
  
• Strong hands-on experience with DBT (Data Build Tool) and advanced SQL.
  
• Experience working with Snowflake or similar modern cloud data warehouses.
  
• Good understanding of data modeling concepts (dimensional modeling, normalization).
  
• Strong knowledge of ETL/ELT processes and data pipeline design.
  
• Experience with Python for data processing and automation (preferred but important).
  
• Ability to work with cross-functional teams and deliver scalable data solutions.
  
• Strong analytical and problem-solving skills.
  
  

Good to have Skills

• Experience with other cloud platforms (AWS, Azure, GCP).
  
• Familiarity with data orchestration tools (Airflow or similar).
  
• Knowledge of data governance, testing frameworks, and data quality tools.
  
• Exposure to BI/reporting tools (Power BI, Tableau).
  
• Experience working in Agile/Scrum environments.
  
  

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