Data Services Engineering - Assistant Manager
Tasks
- Build data ingestion frameworks for batch and real time processing
- Conduct data validation reconciliation and quality checks
- Create and optimize Snowflake databases schemas tables views tasks streams and stored procedures
- Design dimensional and data vault models
- Design scalable data warehouse solutions using Snowflake
- Develop and maintain ELT/ETL pipelines
- Develop complex SQL queries stored procedures and transformation logic
- Implement Snowflake performance security and cost optimization best practices
- Implement clustering partitioning materialized views and caching strategies
- Implement data pipelines with ETL tools
- Ingest data using cloud storage services
- Integrate Snowflake with cloud platforms
- Monitor and optimize warehouse utilization and query performance
- Perform data migration to Snowflake
- Perform root cause analysis for production issues
- Support API and file based data integrations
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
API Integration | AWS | Amazon S3 | Apache Airflow | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Blob Storage | DBT | Data Factory | Data Lake Storage | Data Modeling | Data Vault | Data Warehousing | Dimensional Modeling | ELT | ETL | GCP | Informatica | Matillion | Performance Tuning | Python | Query Optimization | SQL | Shell | Shell Scripting | Snowflake | Talend
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Developer | ETL Developer | Engineer | Snowflake Developer
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