Specialist - Data Engineer
INR 1500K-2500K (estimate) Mid-level Full Time
Tasks
- Apply CI/CD and DevSecOps practices
- Build Snowflake data products
- Create data visualizations
- Deploy and automate data platform solutions
- Develop data acquisition ingestion and transformation
- Implement DataOps and Data quality observability
- Implement data quality and reconciliation controls
- Improve legacy orchestration and scheduling
- Model governed reusable datasets
- Modernize legacy ETL pipelines
- Monitor pipelines and troubleshoot production issues
- Optimize Snowflake workloads
- Orchestrate data pipelines
- Own end-to-end data lifecycle
- Support AI use case data foundations
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Automated Deployment | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Big Data | Containers | Continuous Delivery | Continuous integration | Control-M | Data Factory | Data Lake | Data Lake Storage | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Vault | Data Warehouse | Data orchestration | DataOps | DevSecOps | Dimensional Modeling | ELT | ETL | Embeddings | Grafana | Graph | Massively Parallel Processing | NoSQL | OLAP | OLTP | Object storage | PLSQL | Parallel processing | Power BI | Prompt engineering | Python | R | Retrieval-Augmented Generation | SQL | Scala | Secrets management | Slowly Changing Dimensions | Snowflake | Snowflake data | Snowflake data modeling | Spark | Star Schema | Third Normal Form | Time Series | Vector Stores | Version control
Roles
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