Python/ETL Developer

Wissen Technology is hiring for Python/ETL Developer

About Wissen Technology: 

Job Summary: 

We are hiring a Python/ETL Developer to build and maintain high-performance data engineering platforms for enterprise-scale product ecosystems. The role focuses on designing scalable data pipelines, implementing modern ETL frameworks, and delivering reliable data solutions for mission-critical financial services applications.

Must Have Skills:

• Python Development (5+ years of hands-on experience in enterprise-grade applications and data engineering solutions)
  
• PySpark & Apache Spark (4+ years in distributed data processing and large-scale data transformation)
  
• ETL/Data Engineering/Data Pipeline Development (5+ years building batch and real-time data processing pipelines)
  
• System Design & High-Volume Processing (experience designing scalable and fault-tolerant data platforms)
  
• Apache Airflow (3+ years in workflow orchestration, scheduling, and monitoring)
  
• DBT (Data Build Tool) for data transformation, modeling, and analytics engineering
  
• SQL, RDBMS & OLTP Systems (strong expertise in query optimization, database fundamentals, and data modeling)
  
• REST APIs, Shell Scripting, and CI/CD implementation for automated deployment and operational excellence
  
• Query Engines such as Trino, Snowflake, or equivalent distributed data technologies
  
• AI-Powered Developer Assistants such as GitHub Copilot, Claude, Qwen, or equivalent AI code generation tools.
  

Good to Have:

• Autosys job scheduling and enterprise workload automation
  
• AI/ML, Generative AI, and RAG (Retrieval-Augmented Generation) concepts
  
• Big Data ecosystem technologies and distributed computing platforms
  
• Data Modeling for enterprise-scale analytics and operational systems
  
• Messaging Queue technologies (Kafka, RabbitMQ, MQ Series, or equivalent)
  
• DevOps practices with Kubernetes (K8s), Docker, and cloud-native deployments
  
• Unix/Linux administration and scripting experience
  
• Banking domain expertise with AML (Anti-Money Laundering) or Capital Markets project
  
  Professional Attributes & Qualifications:
  
• Education: BE/BTech/ME/MTech in Computer Science, Information Technology, Engineering, or related discipline
  
• Leadership: Experience mentoring junior developers and contributing to technical decision-making
  
• Ownership: Proven ability to drive end-to-end delivery of data engineering solutions from design through production deployment
  
• Problem Solving: Strong analytical mindset with experience troubleshooting complex distributed systems
  
• Quality Focus: Commitment to coding standards, performance optimization, testing, and operational excellence
  
• Communication: Strong oral and written communication skills with the ability to collaborate across global teams
  
• Collaboration: Excellent stakeholder management skills and a strong team-player attitude
  

Key Responsibilities:

• Design, develop, and optimize scalable batch and real-time data pipelines capable of handling high-volume data workloads
  
• Build robust Python and PySpark applications to support enterprise data engineering and analytics use cases
  
• Develop and maintain ETL frameworks using Apache Spark, DBT, and Airflow for efficient data processing
  
• Implement data governance, lineage, security, and compliance standards across multiple data layers
  
• Design scalable system architectures and ensure reliability, availability, and performance of data platforms
  
• Develop and consume RESTful APIs to integrate data platforms with upstream and downstream systems
  
• Build and maintain CI/CD pipelines to automate testing, deployment, and operational workflows
  
• Collaborate closely with architects, product teams, and business stakeholders to deliver high-quality solutions
  
• Leverage AI-assisted development tools to improve engineering productivity and accelerate feature delivery
  
• Troubleshoot production issues, optimize query performance, and ensure operational stability of data system.
  

Wissen Sites: 

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