Snowflake Data Engineer
4 weeks ago
Urgent / within 30 daysDuration:
Long TermWorking Hours : 2pm to 11pm ISTBand : U3 or U4Working Location : Remote - PAN INDIA (preferably near to Tech M office)Experience : 6-12 Years
Key words to search for the candidate.Mandatory –
Snowflake, SQL, Python – Pandas, Data ModellingGood to have but not mandatory
– Healthcare Domain experience, AWS S3 & BlobCertifications (Good to have) –
None
Job Description
Required Skills and Qualificationsin Snowflake , with extensive experience in
data warehouse
architecture, management
and
Snowpipe.of
User Defined Function vs Stored Procedure, Multi Clusters DWH, Views vs Secure Views & Materialized views
in Snowflake.tuning
and how to improve performance in Snowflake.in SQL
and
database development , with the ability to write complex queries and optimize database performance.programming skills in Python , including experience with data libraries and frameworks, like
Pandas .understanding of data modeling principles
and best practices.communication
and collaboration skills, with the ability to work in a team environment.or Master’s degree in computer science, Information Technology, or a related field.
Key Responsibilitiesand implement robust, scalable data pipelines and architectures in Snowflake, optimizing data flow and collection for cross functional teams.complex SQL queries and scripts to support data transformation, aggregation, and analysis.Python for automating data processes, integrating data systems, and building advanced analytics models.data modeling initiatives, ensuring the integrity and efficiency of data structures.with cross functional teams to understand data needs, gather requirements, and deliver data driven solutions that align with business goals.data security and compliance measures, adhering to industry standards and regulations.data analysis and provide insights to support decision making and strategy development.abreast of emerging technologies and trends in data engineering, recommending, and implementing improvements to our data systems and processes.
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