Data Engineer Python Airflow Snowflake

🌟 Were Hiring: Data Engineer (Python + Airflow + Snowflake)! 🌟

We are seeking an experienced Data Engineer to design, build, and maintain robust data pipelines and infrastructure. The ideal candidate will have expertise in Python, Apache Airflow, and Snowflake to support our data-driven initiatives and ensure seamless data flow across the organization.

📍 Location: Pune, India

⏰ Work Mode: Work From Office

💼 Role: Data Engineer

Summary

What Youll Do:

Python + Airflow + Snowflake Data Engineer

We are seeking a highly skilled Python / Airflow Data Engineer with 7 to 8 years of experience,

specifically with a strong background in AWS technologies. The ideal candidate will have a

deep understanding of Apache Airflow and its integration within AWS ecosystem, enabling

efficient data pipeline orchestration and management.

Responsibilities

• Design, develop, and maintain complex data pipelines using Python for efficient data
  
  

• Collaborate with cross-functional teams to understand data requirements and
  
  

• Implement data integration and transformation processes to ensure optimal
  
  

• Optimize and fine-tune existing data pipelines / Airflow to improve efficiency,
  
  

• Troubleshoot and resolve issues related to data pipelines, ensuring smooth
  
  

• Work closely with AWS services like S3, Glue, EMR, Redshift, and other related
  
  

• Develop and maintain documentation for data pipelines, processes, and system
  
  

• Stay updated with the latest industry trends and best practices related to data
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proficiency in Python, PySpark and SQL for data processing and manipulation.
• Min 5 years of experience in data engineering, specifically working with Apache
  
  

• Strong knowledge of AWS services, particularly S3, Glue, EMR, Redshift, and AWS
  
  

• Understanding of Snowflake Data Lake is preferred.
• Experience with optimizing and scaling data pipelines for performance and
  
  

• Good understanding of data modeling, ETL processes, and data warehousing
  
  

• Excellent problem-solving skills and ability to work in a fast-paced, collaborative
  
  

• Effective communication skills and the ability to articulate technical concepts to
  
  

• AWS certification(s) related to data engineering or big data.
• Experience working with big data technologies like Snowflake, Spark, Hadoop, or
  
  

• Familiarity with other data orchestration tools in addition to Apache Airflow.
• Knowledge of version control systems like Bitbucket, Git.