Data Engineer - Senior
Pune, Maharashtra, India
INR 3000K-3500K (estimate) Senior-level Full Time
Tasks
- Build data quality profiling and validation pipelines
- Design and automate data ingestion and transformation pipelines
- Design scalable distributed data storage and processing solutions
- Develop RESTful APIs for data quality metrics and ML models
- Develop data quality and observability solutions
- Develop responsive user interfaces for data quality monitoring
- Document data quality frameworks and ML workflows
- Host and manage applications using cloud services
- Implement data governance metadata access and retention
- Implement data quality monitoring and troubleshooting
- Integrate AI and ML for data validation and anomaly detection
- Integrate cloud data sources and APIs for data pipelines
- Lead data and analytics platform design and development
- Optimize database performance using indexing and table relationships
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Application Insights | Azure | Azure Application Insights | Azure SQL | Azure SQL Database | Azure Storage | Azure Web | Azure Web Apps | Cassandra | Clustering | Data Lake | Databricks | Dataverse | Deep learning | DynamoDB | ELT | ETL | FastAPI | Flask | HBase | Hadoop | Hive | Java | Kafka | LLM | Machine Learning | MapReduce | MongoDB | NLP | Node.js | OpenAI API | PySpark | Python | REST API | React | SQL | SQL Database | Scala | Snowflake | Spark | Web Apps
Education
Roles
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