Data Scientist
INR 1500K-2600K (estimate) Mid-level Full Time
Tasks
- Apply DataOps practices including CI CD version control automated testing release management and production support
- Design build and maintain batch and streaming data pipelines for ingestion transformation validation and publishing
- Develop curated reusable and well documented data products for BI analytics and ML
- Enable AI ML and GenAI teams with governed data access patterns
- Implement data quality checks observability lineage metadata management and monitoring
- Optimize pipeline performance storage compute cost and reliability
- Prepare feature datasets vector ready datasets and document corpora for AI ML and GenAI
- Support data governance privacy access control and compliance for enterprise data
- Translate business analytics and AI use cases into scalable data engineering solutions
- Use cloud data engineering tools to deliver resilient data pipelines
- Write production code in Python and SQL using data engineering frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Airflow | BigQuery | CI/CD | Cloud Composer | Cloud Storage | Clustering | Cost Optimization | DBT | Data Governance | Data Lineage | Data Modeling | Data Quality | DataOps | Dataflow | Dataform | Dataproc | Dimensional Modeling | ELT | ETL | Feature Engineering | Git | Metadata Management | Monitoring | Observability | Partitioning | Performance Tuning | Privacy | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Search | Spark | Streaming Data | Vector Databases
Education
Roles
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