AI and A-Data Engineering-VG-W3-CDAO0005
INR 1500K-2400K (estimate) Senior-level Full Time
Tasks
- Align data engineering initiatives with business and IT goals
- Automate data ingestion transformation and validation
- Build cloud based data solutions for large scale processing
- Collaborate with data scientists analysts and business intelligence teams to deliver analytics solutions
- Design and manage relational and NoSQL databases
- Implement preventive measures for system reliability
- Lead data engineering team to design develop and optimize scalable data pipelines and infrastructure
- Manage scalable fault tolerant data architectures
- Monitor troubleshoot and resolve data pipeline failures
- Oversee ETL pipeline development and maintenance
- Tune performance of data pipelines and systems
Perks/Benefits
- Career development
- Coaching and feedback
- Discounts and offers
- Flexible working
- Health and well-being support
- Insurance
- Savings plans
Skills/Tech-stack
AWS | Airflow | Azure | BigQuery | CI/CD | Data Processing | Data Quality | Data Validation | Data Warehousing | Data orchestration | DataOps | Databricks | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | ELT | ETL | Google Cloud | Hadoop | Infrastructure as Code | Kafka | Medallion Architecture | MongoDB | MySQL | PostgreSQL | PySpark | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Snowflake | Spark | Star Schema | Terraform | Unity Catalog | “as-code”
Education
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