Developer
Hyderabad, Andhra Pradesh, India
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Build data storage solutions and manage large scale datasets
- Collaborate with cross-functional teams on data requirements
- Conduct code reviews and participate in design discussions
- Design and implement ETL processes
- Develop and maintain scalable data pipelines
- Ensure data integrity and quality
- Integrate with cloud platforms
- Optimize and troubleshoot PySpark applications
- Write clean, well-documented code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Kafka | Apache Spark | Azure | Cloud platform | Data Lakes | Data Warehousing | Distributed Computing | ETL | Google Cloud | Google Cloud Platform | Hadoop | Hive | JSON | Kafka | MLlib | Machine Learning | Parallel processing | PySpark | Python | REST APIs | SQL | XML
Education
N/A
Roles
Data Engineer | Developer | Engineer | Python | Python Developer
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