Senior Specialist, ESE ML Engineer
INR 2500K-4271K (estimate) Senior-level Full Time
Tasks
- Automate data flows and pipeline monitoring
- Build platforms for data ingestion transformation and orchestration
- Create standard stakeholder reports
- Design and execute experiments to validate data quality
- Design, develop, and maintain data pipelines
- Implement data orchestration, logging, and monitoring
- Ingest data into cloud data warehouses
- Integrate machine learning models into production systems
- Maintain documentation for pipelines configurations and code
- Monitor troubleshoot and resolve data integration issues
- Process enrich and extract data for analytics and AI
- Run monitoring logging and data quality checks
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS IAM | AWS Lambda | Airflow | Amazon Redshift | Amazon S3 | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | B testing | CI/CD | Cloud Data | Cloud Data Warehouse | Data Factory | Data Modeling | Data Quality | Data Transformation | Data Warehouse | Data orchestration | Deep learning | Delta Lake | ELT | ETL | Experiment design | GitHub Actions | Jenkins | Logging | Machine Learning | Monitoring | Observability | Prefect | PySpark | Python | SQL | Snowflake | Statistical validation
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
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