Lead Assistant Manager

1 week ago

Gurgaon, Haryana, India HuQuo Full time

Job Summary :

  • Snowflake data engineers/developers will be responsible for architecting and implementing very largescale data intelligence solutions around Snowflake Data Warehouse.
  • A solid experience and understanding of architecting, designing and operationalization of largescale 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 lakehouse 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 cloudbased 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 semistructured 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.
)

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