AVP, Data Engineer (L10)
Hyderabad IN, India
R
INR 3000K-4000K (estimate) Executive-level Full Time
Tasks
- Build data pipelines using Spark
- Collaborate in agile scaled framework
- Comply with data management standards
- Coordinate cross-functional planning
- Design scalable data applications
- Develop and test data applications
- Develop in Python
- Develop in Scala
- Implement APIs
- Implement data quality and performance tuning
- Implement fault-tolerant data pipelines
- Integrate AI services
- Manage fraud data needs
- Oversee production implementation
- Partner on solution requirements
- Process terabytes of data
- Query data in Redshift
- Resolve enterprise and system process issues
- Store data in S3
- Support AWS EMR processing
- Use AWS Glue for ETL
- Use Hive tables and SQL queries
- Use Kafka for streaming
Perks/Benefits
- Career advancement
- Flexible working hours
- Remote work
- Upskilling opportunities
- Work-life flexibility
Skills/Tech-stack
API | AWS | AWS Glue | Amazon EMR | Amazon Redshift | Amazon S3 | Apache Hive | Apache Kafka | Apache Spark | Hadoop | Python | SQL | Scala
Education
Roles
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