Job highlights

- The ideal candidate will have experience working with large datasets and developing scalable data pipelines . As a Data Engineer,you will play a key role in designing,building,and maintaining the data infrastructure that supports our business operations .
- . Robust proficiency in Python programming language with experience in data engineering projects . .

Han Digital Solution (P) is looking for Data Engineer+Python (Aditya POC) to join our dynamic team and embark on a rewarding career journey We are looking for a highly skilled Data Engineer with expertise in Python to join our team at Han Digital Solution (P)

The ideal candidate will have experience working with large datasets and developing scalable data pipelines

As a Data Engineer, you will play a key role in designing, building, and maintaining the data infrastructure that supports our business operations

Roles and Responsibility

- Design and implement data models and architectures to support business intelligence and analytics
- Develop and maintain large-scale data pipelines using Python and other relevant technologies




- Collaborate with cross-functional teams to identify and prioritize project requirements
- Ensure data quality and integrity by implementing data validation and testing procedures
- Optimize data storage and retrieval processes for improved performance and efficiency
- Participate in code reviews to ensure adherence to coding standards and best practices

Job Requirements
- Strong proficiency in Python programming language with experience in data engineering projects
- Experience with big data technologies such as Hadoop, Spark, or NoSQL databases
- Knowledge of data modeling concepts and database design principles
- Familiarity with cloud-based platforms such as AWS or Azure
- Excellent problem-solving skills and attention to detail
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders

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📌 Data Engineer+Python (Aditya POC) (Hyderabad)
🏢 Han Digital Solution
📍 Hyderabad