Data Engineer
2 months ago
Salary : 10 -15LPA
Job Description :
Responsibilities :
- Provide understanding of Snowflake, Data Warehouse, Data Movement, Data Curation, and Data Staging best practices in relation to existing Snowflake implementations
- Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Create and contribute to automation of essential processes related to infrastructure solution deployment creating repeatable and robust deployments
- Provide Snowflake solutions, including hands on keyboard (implementation)
- Overall ownership of the "platform" and supporting essential platform capabilities
- Responsible for day-to-day sustainment and configuration of the platform including System Health and Telemetry
- Performance and performance tuning
- Data Quality, Protection, and Availability
- Responsible for developing and implementing solutions related to Snowflake and preparing data for Business Intelligence
- Fully document all solution work including designs and configurations
- Play an essential role in troubleshooting data system problems and provide viable solution options
Requirements :
- Minimum 5 of years of experience in Snowflake Data Solutions, hands-on Data warehousing methodologies and modelling techniques Data migration methods of on-prem to cloud data solutions including ELT/ETL Tools and concepts
- Working with Batch and Stream data SQL, preferrable Snowflake SQL
- Massively Parallel Processing (MPP) Analytical Datastores
- Experience in Snowflake utilities including SnowSLQ, Snowpipe, Snowlight for handling Streaming data is a plus
- Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
- Experience in in re-clustering Snowflake data with good understanding of Micro-Partition within Snowflake
- Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
- Experience in handling semi-structured data (JSON, XML) in Snowflake
- Minimum of 2 years of hands-on experience in Cloud technologies such as Azure - Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Datawarehouse
- Certified Snowflake cloud data warehouse Architect (Desirable).
- Should be able to troubleshoot problems across infrastructure, platform and application domains.
- Must have experience of Agile development methodologies
- Strong written communication skills. Is effective and persuasive in both written and oral communication
- Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
(ref:hirist.tech)
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