Snowflake Engineer

Job Description

This is a remote position.

About Us

DataTeams help Technology Companies find the most skill specific AI enabled Data Professionals.

What You Will Help Us With as a Snowflake Engineer :

We are looking for a talented Snowflake Engineer to architect and implement large-scale data intelligence solutions using the Snowflake Data Warehouse.

The ideal candidate will have extensive experience in designing, operationalizing, and managing robust data and analytics solutions within the Snowflake environment.

A deep understanding of data engineering best practices, coupled with a proactive problem-solving approach in a cloud-based setting, is essential.

Join us in leveraging data to drive insights and support impactful business decisions!

Requirements

Experience & Skills We’re Looking For :

• Extensive experience in designing and implementing modern cloud-based strategies with Snowflake Data Cloud, for automating data ingestion pipelines.
• Strong proficiency in SQL, Python, Scala, or Java for data processing and analysis in context to Snowflake.
• Deep understanding of cloud services (AWS, Azure, or GCP) and their data offerings.
• Develop and optimise ETL pipelines for seamless data extraction, loading, and transformation using a combination of Python and Snowflake's SnowSQL
• Thoroughly document implementations to ensure clarity for future reference, including requirements, processes, and testing conditions.
• Experience working with diverse external datasets, including data cleaning, joining, and transformation.
• Experience with dbt and orchestration tools is highly valued.
• Familiarity with advanced analytics techniques and data modelling concepts.

Requirements :

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience designing and implementing a full-scale data warehouse solution based on Snowflake.
• Leverage professional knowledge of AWS Redshift for comparative analysis and data warehousing solutions.
• Exceptional leadership and communication skills, with the ability to convey information clearly and provide constructive feedback, including addressing mistakes.

Preferred Qualifications :

• Additional certifications in data engineering or related fields.
• Experience with machine learning and AI workflows.
• Experience with Cloudera Impala or Apache Kudu, demonstrating proficiency in managing and optimising distributed data storage and querying systems.
• Knowledge of Apache workflows, such as Apache Airflow or Apache NiFi, showcasing the ability to design, implement, and manage complex data pipelines.
• Familiarity with data visualisation and reporting tools (e.g., Power BI, Tableau).

Requirements

Experience & Skills We’re Looking For : - Extensive experience in designing and implementing modern cloud-based strategies with Snowflake Data Cloud, for automating data ingestion pipelines.

• Strong proficiency in SQL, Python, Scala, or Java for data processing and analysis in context to Snowflake. - Deep understanding of cloud services (AWS, Azure, or GCP) and their data offerings.
• Develop and optimise ETL pipelines for seamless data extraction, loading, and transformation using a combination of Python and Snowflake's SnowSQL - Thoroughly document implementations to ensure clarity for future reference, including requirements, processes, and testing conditions.
• Experience working with diverse external datasets, including data cleaning, joining, and transformation. - Experience with dbt and orchestration tools is highly valued.
• Familiarity with advanced analytics techniques and data modelling concepts. Requirements : - Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience designing and implementing a full-scale data warehouse solution based on Snowflake. - Leverage professional knowledge of AWS Redshift for comparative analysis and data warehousing solutions.
• Exceptional leadership and communication skills, with the ability to convey information clearly and provide constructive feedback, including addressing mistakes.

Preferred Qualifications : - Additional certifications in data engineering or related fields. - Experience with machine learning and AI workflows.

• Experience with Cloudera Impala or Apache Kudu, demonstrating proficiency in managing and optimising distributed data storage and querying systems.
• Knowledge of Apache workflows, such as Apache Airflow or Apache NiFi, showcasing the ability to design, implement, and manage complex data pipelines.
• Familiarity with data visualisation and reporting tools (e.g., Power BI, Tableau).
21 days ago