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Snowflake Data engineer @ Agilisium

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 Snowflake Data engineer

Job Description

Led Snowflake data migration projects, ensuring successful and efficient data transfer from legacy systems to Snowflake.
Developed ETL/ELT pipelines using Snowflake's features like Snowpipe, Task, Stored Procedures, and Streams for real-time data processing.
Optimized query performance through query tuning, indexing, partitioning, and optimizing virtual warehouses for optimal resource allocation.
Collaborated with the data engineering team to design and implement scalable data models and schema structures.
Provided Snowflake administration support, managing user access, roles, and security policies to maintain data integrity and compliance.
Conducted data profiling and analysis to identify data quality issues and implemented necessary data cleansing and validation processes.
Worked closely with business users to understand their requirements and translate them into scalable data solutions.
Mentored junior developers and conducted knowledge sharing sessions on Snowflake best practices and advanced SQL techniques.


Job Classification

Industry: Analytics / KPO / Research
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Agilisium
Location(s): Chennai

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Keyskills:   ETL Task SQL techniques Stored Procedures ELT pipelines Snowpipe data solutions

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Agilisium

Agilisium is a Los Angeles based AWS Advanced Consulting Partner with Big Data, EMR and Redshift competency. Agilisium exists to help organizations accelerate their Data-to-Insights-Leap. To this end, Agilisium has invested in all stages of data journey: Data Architecture Consulting, Data Integratio...