M
Marktine Technology Solutions Pvt LtdListed on Himalayas
Snowflake Developer
Remote · United States
Source: Himalayas. This job was published on Himalayas; you apply there.
RemoteFull-timeMid levelData Science
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Estimated pay
Estimate$137K–$240K/yr
Estimate — the employer hasn't published pay.
Based on 912 similar mid-level Software Engineering jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
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At a glance
- Education
- Master's
Skills mentioned
snowflakepythonsqlawsazurepower bitableau
About the role
Category: IT Services
Location:
Details
Location:
Responsibilities:
- Snowflake SQL Writing SQL queries against Snowflake Developing scripts Unix, Python, etc. to do Extract, Load, and Transform data
- Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
- In-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure principles
- Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
- Experience gathering and analyzing system requirements
- Good working knowledge of any ETL tool (Informatics or SSIS)
- Good to have familiarity with data visualization tools (Tableau/Power BI)
- Ability to effectively function in a cross-team’s environment
- Good to have exposure to AWS / Azure Data ecosystem
Requirements
Skills Required:
- Well versed in Snowflake architecture concepts - Cloud Services, Virtual Warehouse, Storage etc.
- Good exposure to performance tuning, cost optimization on snowflake.
- Exposure to snowflake system hierarchy and schemas/Tables/Views/Stages
- Good knowledge of data modelling concepts like dimensional modelling and DWH concepts like change data capture (CDC)
- Must have ETL E2E experience in documentation, development, testing & deployment to Production
- Ability to provide production support for Data Warehouse issues such data load problems, transformation/translation problems etc.
- Worked in Offshore / Onsite Engagements and collaborated across time zones
Details
Originally posted on Himalayas