Senior Applications Developer : Bigdata - Python, Pyspark
INR 2800K-4000K (estimate) Senior-level Full Time
Tasks
- Analyze requirements
- Collaborate with cross-functional teams
- Conduct code reviews
- Design data pipelines
- Develop ETL processes
- Develop KYC data solutions
- Develop data applications
- Enforce coding standards
- Ensure data quality
- Implement scalable solutions
- Integrate AI driven data extraction
- Monitor data pipeline performance
- Optimize database performance
- Process transform manage large datasets
- Propose technical solutions
- Provide technical guidance and mentorship
- Resolve integration issues
- Write SQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
ADF | ADLS | AWS | AWS Step Functions | Anomaly Detection | Apache Airflow | Apache Hadoop | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | CI/CD | Cloud platform | Data Factory | Databricks | Dataframes | Django | Docker | EMR | ETL | FastAPI | Flask | GCP | Git | GitLab CI | Google Cloud | Google Cloud Platform | Hive | Integration Testing | Jenkins | Kafka | Kubernetes | Machine Learning | MongoDB | MySQL | ORC | Oracle | Parquet | Performance Testing | PostgreSQL | PySpark | PyTorch | Pytest | Python | REST API | S3 | SQL | SQL Server | Spark SQL | Spark Streaming | Step Functions | TensorFlow | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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