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Lead Assistant Manager
5 months ago
Job Summary :
- Snowflake data engineers/developers will be responsible for architecting and implementing very large-scale data intelligence solutions around Snowflake Data Warehouse.
- A solid experience and understanding of architecting, designing and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must.
Basic understanding of :
- Batch and Real time data processing
- Agile Process (Scrum cadences, Roles, deliverables) & working experience in either Azure DevOps, JIRA or Similar
Strong In/should have :
- Designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.
- Hands on experience with building productionized data ingestion and processing pipelines using Java (or Spark, Scala, Python etc).
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies.
- Experience in writing stored procedure/function using Snowflake Scripting or Javascript.
- Deploying Snowflake features such as data sharing, events, and lake-house patterns
- Leveraging Snowflake utilities, SnowSQL, SnowPipe, and Big Data modeling techniques using Python
- Data Migration from RDBMS to Snowflake cloud data warehouse
- NoSQL data stores, methods, and approaches (star and snowflake, dimensional modeling)
- Developing ETL workflows/pipelines in and out of data warehouse using combination of Python or Snow pipe.
- Understanding data pipelines and modern ways of automating data pipeline using cloud-based implementations
- Basic understanding of Snowflake architecture (Storages and Warehouses)
- Good understanding of RBAC (Role Based access Controls) for user and access management.
- Good understanding of Structured and semi-structured data formats (xml, ORC, json, Parquet, Avro).
- Good experience in creating the file formats, external and internal stages to connect to Cloud storages (AWS S3, Azure BLOB etc), zero copy clone.
- Good understanding of concepts around Time Travel and Failsafe features in Snowflake.
- Translate requirements for BI and Reporting to Database design and reporting design.
- Understanding data transformation and translation requirements and which tools to leverage to get the job done
- Good to have basic knowledge on Snowflake Billing, setting up Resource Monitors etc.
- Good to have knowledge on other cloud Data warehousing solutions like AWS Redshift, Google big query.
