Data Engineer (Python + Snowflake)

Overview

Wissen Technology is Hiring for Data Engineer (Python + Snowflake)

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 (Python & Snowflake) to design, develop, and maintain scalable data pipelines and analytical data models. The role involves working extensively with Snowflake as the core data cloud platform and Python for automation and data transformation. The ideal candidate will have strong SQL skills, hands‑on experience with cloud data ecosystems, and the ability to collaborate with business and analytics teams to deliver reliable, high‑quality data solutions.

5- 10 Years
Location: Mumbai, Pune and Bangalore
Mode of Work: Full time

Key Responsibilities:

• Design and develop end-to-end ETL/ELT data pipelines to ingest data from APIs, S3, and relational databases into Snowflake.
  
• Build and optimize data models (Star/Snowflake schemas) for reporting and analytics use cases.
  
• Leverage Python for data transformation, automation, and custom workflow development.
  
• Improve Snowflake performance using clustering, partitioning, query optimization, and warehouse tuning.
  
• Implement data quality, validation rules, and governance controls (including RBAC).
  
• Collaborate with Data Scientists, Analysts, and cross-functional teams to deliver scalable data solutions.
  
• Manage workflow orchestration using tools such as Airflow, Prefect, or Dagster.
  
• Implement modular SQL transformations using dbt (data build tool).
  
• Integrate Snowflake with AWS services such as S3, IAM, Lambda, etc.
  
  

Requirements:

• Strong hands-on experience with Snowflake architecture, including Snowpipe, Tasks, Streams, and storage vs. compute concepts.
  
• High proficiency in SQL/SnowSQL, including complex joins, CTEs, window functions, and query optimization.
  
• Strong experience with Python for data processing, automation, and API integrations.
  
• Experience with orchestration tools such as Airflow, Prefect, or Dagster.
  
• Proficiency with dbt for SQL transformations and data modeling.
  
• Strong understanding of AWS cloud services (S3, IAM, Lambda) and integration with Snowflake.
  
• Experience using Git and CI/CD pipelines.
  
• Strong analytical and problem-solving abilities.
  
  
  

Good To Have Skills:

• Experience with additional cloud platforms (Azure, GCP).
  
• Knowledge of data lake frameworks such as Delta Lake or Iceberg.
  
• Experience with Docker or containerized environments.
  
• Exposure to BI tools such as Tableau, Power BI, or Looker.
  
• Knowledge of Kafka, Kinesis, or other streaming technologies.
  
• Understanding of data security, compliance frameworks, and encryption standards.
  
  

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/