Data Engineer(Python + Airflow + Snowflake)

🌟 We're 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 You'll Do:

Python + Airflow + Snowflake Data EngineerWe 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 adeep understanding of Apache Airflow and its integration within AWS ecosystem, enablingefficient data pipeline orchestration and management.

Responsibilities

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

processing and orchestration.

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

architect robust solutions within the AWS environment.

• Implement data integration and transformation processes to ensure optimal
  

performance and reliability of data pipelines.

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

scalability, and maintainability.

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

operation and minimal downtime.

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

technologies to design and optimize data infrastructure.

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

architecture.

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

engineering and AWS services.

Requirements

• 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
  

Airflow and AWS technologies.

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

Lambda.

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

efficiency.

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

concepts.

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

environment.

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

non-technical stakeholders.

Preferred Qualifications

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

related frameworks.

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