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Data Engineer - Python, PySpark, Airflow
Innova ESIpune, India1 day ago
Job descriptionMinimum 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.
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
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Data Engineer Python • pune, India
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