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Futran Tech Solutions Pvt. Ltd.

Snowflake Matillion Lead

Futran Tech Solutions Pvt. Ltd., Portland, Oregon, United States, 97204


Snowflake Matillion Lead

Portland,Oregon Onsite

"Job Description

Design implement and optimize data pipelines and workflows using Snowflake and Matillion to support our data integration transformation and analytics initiatives

Collaborate with crossfunctional teams to gather requirements define data models and develop solutions that meet business needs

Develop and maintain ETL processes to extract transform and load data from various sources into Snowflake data warehouse for analysis and reporting purposes

Monitor pipeline performance troubleshoot issues and implement enhancements to ensure data accuracy reliability and efficiency

Stay updated on emerging technologies and best practices in data engineering Snowflake and Matillion to drive continuous improvement and innovation

1 Solid understanding of data warehousing concepts dimensional modeling and schema design

2 Excellent problemsolving and analytical skills with a keen attention to detail

3 Strong communication and collaboration skills with the ability to work effectively in a team environment

4 Optimize and tune data pipelines for performance reliability and costeffectiveness

5 Develop ETL processes to transform and cleanse data as per business requirements

6 Monitor and troubleshoot data pipelines to ensure data quality and integrity

7 Work closely with Data Analysts and Data Scientists to provide them with clean and reliable datasets

8 Document data pipelines processes and workflows for knowledge sharing and future reference

9 Stay updated with industry trends and best practices in data engineering and cloud technologies

10 Design develop and maintain scalable data pipelines using Snowflake and Matillion

11 Collaborate with stakeholders to gather requirements and understand business needs

12 Architect data models and schemas for optimal performance and efficiency within Snowflake

13 Implement data integration solutions to ingest data from various sources into Snowflake"