Snowflake Data EngineerInfoCentric • Melbourne, Florida, USA
Snowflake Data Engineer
InfoCentric • Melbourne, Florida, USA
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job_description.job_card.job_description4 years of experience as a Data Engineer or similar role. Strong hands-on experience with Snowflake (warehousing performance tuning SQL tasks streams etc.). Proficiency with Azure (Azure Data Factory Azure Data Lake Azure Functions Key Vault etc.). Experience with Azure Data Factory or dbt (at least one is required). Solid understanding of ETL / ELT principles and data modeling. Experience with Salesforce APIs data extraction or related integration tools (preferred). Strong SQL skills and experience working with large datasets. Familiarity with CI / CD workflows for data pipelines is a plus. Excellent communication and problem-solving skills. Well cover the cost of your training and certifications in the latest tools and technologies including AWS Azure Snowflake and AI Youll work with industry leaders and gain experience in complex Data Platforms and AI projects from the start. Youll gain mentorship and collaboration from industry leaders Receive genuine recognition for work and valued behaviour. Regular social events to connect. Previous events include private cinema screenings bubble soccer minigolf bowling and social drinks. Be part of embracing and celebrating team diversity Work alongside and collaborate with experienced technical professionals in Data Platforms AI and GenAI Work flexibly to balance family life and career Create impact and positive change for the team and business Drive process improvement
About the Role
We are looking for a highly skilled Mid to Senior Data Engineer to join our team and support a key project involving the migration of data from Salesforce to a Snowflake Data Warehouse . The ideal candidate has deep experience with Snowflake strong proficiency in Azure services and hands-on expertise with Azure Data Factory (ADF) or dbt .
This role will play a critical part in designing building and optimising data pipelines ensuring data quality and enabling scalable and efficient data integration across our platforms.
Key Responsibilities
- Design and build scalable data pipelines to support the migration from Salesforce to Snowflake .
- Develop maintain and optimise ETL / ELT processes using Azure Data Factory or dbt .
- Work closely with cross-functional teams to understand data requirements and implement robust data models.
- Manage and optimise data storage transformations and processing using Snowflake best practices .
- Implement monitoring alerting and validation processes to ensure data quality and reliability.
- Troubleshoot pipeline and environment issues ensuring high availability and performance.
- Contribute to improving data engineering standards documentation and development workflows.
Required Qualifications
About Us
At InfoCentric our employees are the heart of our business. We have had many employees start their careers with us and grow into positions of responsibility. We are at the forefront of Data Platforms Analytics and AI driving innovation and delivering smart solutions for our clients.
Our Core Values Reflect Whats Important To Us
Realise Opportunity
Thrive Together & Embrace Diversity
Think Big Picture
To find out more check out our LinkedIn Life Page or .
Applications
Due to the high volume of applications we receive you will be contacted if you are successful. We thank you for your interest in InfoCentric and working with us. If youre unsuccessful for this role we will keep your details and reach out to you with any suitable roles in the future.
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full-Time
Experience : years
Vacancy : 1
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