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 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 an experienced Data Engineer to design, build, and optimize scalable data pipelines and workflows on modern cloud-native platforms. The ideal candidate should have hands-on expertise with Azure Databricks, Apache Spark, and relational databases , along with strong programming skills in Python. This role requires collaboration with cross-functional teams to deliver reliable, high-performance data solutions supporting enterprise analytics and decision - making.  

Experience: 4 6  years  

Location: Bengaluru  

Mode of Work: Full time - hybrid  

Key Responsibilities:  

• Design, build, and maintain scalable data pipelines and workflows.  
  
• Manage and optimize cloud-native data platforms on Azure with Databricks and Apache Spark (1 2 years).  
  
• Implement CI/CD workflows and monitor data pipelines for performance, reliability, and accuracy.  
  
• Work with relational databases (Sybase, DB2, Snowflake, PostgreSQL, SQL Server) and ensure efficient SQL query performance.  
  
• Apply data warehousing concepts including dimensional modelling, star schema, data vault modelling, Kimball and Inmon methodologies, and data lake design.  
  
• Develop and maintain ETL/ELT pipelines using open-source frameworks such as Apache Spark and Apache Airflow.  
  
• Integrate and process data streams from message queues and streaming platforms (Kafka, RabbitMQ).  
  
• Collaborate with cross-functional teams in a geographically distributed setup.  
  
• Leverage  Jupyter notebooks for data exploration, analysis, and visualization.  
  
  

Requirements:  

• 4+ years of experience in data engineering or a related field.  
  
• Strong programming skills in Python with experience in Pandas, NumPy, Flask.  
  
• Hands-on experience with pipeline monitoring and CI/CD workflows.  
  
• Proficiency in SQL and relational databases.  
  
• Familiarity with Git for version control.  
  
• Strong communication and collaboration skills with ability to work independently.  
  

Good to have skills:  

• Knowledge of Snowflake.  
  
• Understanding of cloud-based application development and DevOps practices.  
  
• Experience with BI tools such as Tableau or Power BI.  
  
• Exposure to financial markets and trade lifecycle processes.  
  

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