Description

You will build and maintain data-driven applications using Python and AWS cloud services.

Responsibilities

• Develop backend logic and data processing scripts using Python, Pandas, and NumPy.
• Build and manage scalable data pipelines with PySpark.
• Deploy and manage cloud infrastructure using AWS services including S3, EC2, Lambda, SQS, and SNS.
• Write and optimize queries for RDS, Redshift, and Oracle or Postgres databases.

Required Skills

• 5+ years of professional experience in Python development.
• Proficiency with Pandas and NumPy for data manipulation.
• Experience with PySpark for distributed computing.
• Hands-on experience with AWS services: S3, RDS, EC2, Lambda, SQS, SNS, and Redshift.
• Strong knowledge of DBMS, specifically Oracle and Postgres.
• Working knowledge of Java.

Key Skills

Education

Any Graduate