Python + Data Engineer

Wissen Technology is Hiring forPython + 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 mindsetensuring 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 expectationswe 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 impactthe first time, every time.

JobSummary:We are seeking an experienced Python + Data Engineer who can design, develop, and deliver scalable data solutions within the banking and financial services domain. The ideal candidate should be a handson developer with strong expertise in Python-based data workflows, cloud technologies, and distributed data processing frameworks. This role requires deep technical skills, strong analytical capabilities, and the ability to work end-to-end on complex data engineering projects.

Experience: 3- 5 Years

Location: Pune / Mumbai

Mode of Work: Full time

KeyResponsibilities:

• Develop and maintain scalable data workflows and automation using Python
  
• Build and optimize largescale data processing pipelines using PySpark
  
• Perform detailed data analysis and validation using Pandas
  
• Work with Delta Lake for handling structured and semistructured datasets
  
• Write efficient SQL queries and perform operations on Delta tables
  
• Leverage Azure Cloud compute and storage services for data engineering workloads
  
• Use ADF or Airflow to orchestrate data pipelines and workflows
  
• Collaborate with cross-functional teams to design endtoend data solutions
  
• Ensure data quality, performance, and reliability across all pipelines
  
• Troubleshoot, optimize, and enhance existing data workflows
  
  

Requirements:

• Python (35 years): Strong experience in data workflows, automation, data manipulation
  
  
• PySpark: Hands-on experience in distributed large-scale data processing
  
• Pandas: Strong capabilities in data analysis and validation
  
• Delta Lake: Experience managing large structured and semi-structured datasets
  
• SQL: Strong querying skills and experience working with Delta tables
  
• Azure Cloud: Compute, storage, and basic cloud data services
  
• Orchestration Tools: Experience with Azure Data Factory (ADF) or Apache Airflow
  
  

Good To Have Skills:

• Experience with Azure Databricks
  
• Knowledge of data modeling and warehouse concepts (dimensional modeling, star schema)
  
• Understanding of data governance and data quality frameworks
  
• Experience with Git and CI/CD for data pipeline deployment
  
• Exposure to streaming technologies like Kafka or Event Hub
  
• Understanding of DevOps practices for data engineering
  
• Experience in BFSI domain data processes (optional but beneficial)
  
  

Wissen Sites:

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology

Wissen Leadership: https://www.wissen.com/company/leadership-team/

Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
Wissen Thought Leadership: https://www.wissen.com/articles/