Data Engineer - Python, PySpark, Airflow

Role: Data Engineer - Python, PySpark, Airflow

Experience: 3+ Years

Location: Bangalore | Hyderabad

Immediate Joiners Only

Key Responsibilities

• Develop and enhance new product features with a strong focus on scalability and performance.
• Modernize existing system components by redesigning them to align with new architecture paradigms.
• Deeply understand the business domain, customer needs, and core use cases.
• Own and deliver complex engineering tasks end-to-end.
• Ensure adherence to non-functional requirements (stability, scalability, performance).
• Mentor junior engineers and influence technical decision-making.
• Work within a Scrum team and collaborate with cross-functional groups to solve challenging technical problems.

Requirements

• Minimum

  5 - 7 years of hands-on experience

  with

  Python/Spark/Airflow

  .
• Strong SQL skills with experience working on relational and NoSQL databases (Snowflake is a plus).
• Strong understanding of

  data models

  ,

  ETL/ELT pipelines

  , and

  batch/real-time processing

  .
• Practical experience in

  Scala or Java

  .
• Experience with

  Docker, Kubernetes

  , and containerized environments.
• Solid experience building solutions on

  cloud platforms

  .
• Strong understanding of

  DevOps methodologies

  .
• Experience working in an

  Agile/Scrum

  environment.
• Passion for modern data engineering technologies and continuous learning.
• Ability to quickly dive into development activities and deliver high-quality code.

• English proficiency: B2 or above.