Snowflake Data Engineer

Job description

Hi All, Greetings!!! We're hiring for LTIMINDTREE for the role Snowflake Data Engineer with Matillion for more quires kindly reach out - mail23@dayspring-consultants.com ROLE: Snowflake Data Engineer with Matillion EXP: 7 to 11 Yrs LOC: Pan India NP: 0 to 30 Days Mandatory: Snowflake, Matillion, Atlan JD for your reference 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 Must have ATLAN 2 Solid understanding of data warehousing concepts dimensional modeling and schema design 3 Excellent problemsolving and analytical skills with a keen attention to detail 4 Strong communication and collaboration skills with the ability to work effectively in a team environment 5 Optimize and tune data pipelines for performance reliability and costeffectiveness 6 Develop ETL processes to transform and cleanse data as per business requirements 7 Monitor and troubleshoot data pipelines to ensure data quality and integrity 8 Work closely with Data Analysts and Data Scientists to provide them with clean and reliable datasets 9 Document data pipelines processes and workflows for knowledge sharing and future reference 10 Stay updated with industry trends and best practices in data engineering and cloud technologies 11 Design develop and maintain scalable data pipelines using Snowflake and Matillion 12 Collaborate with stakeholders to gather requirements and understand business needs 13 Architect data models and schemas for optimal performance and efficiency within Snowflake 14 Implement data integration solutions to ingest data from various sources into Snowflake Regards Divya