Data Engineer - Python, PySpark, Airflow

Job Description

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.