Snowflake Data Engineer
Apply NowCompany: Technogen International Company
Location: Atlanta, GA 30349
Description:
Position: Snowflake Data Engineer
Location: Remote
Exp: 12+ Years
Must Have: *Snowflake Exp*
Description:
Seeking an experienced Snowflake Data Engineer to assist in the building of a Snowflake Data Warehouse and help develop data analytics solutions and algorithms to analyze raw data. Responsibilities will include, but not be limited to the following:
Assist with Data architecture
Assist with building and validating data architecture
Data collection
Designing, building, and fine-tuning data pipelines to load data into Snowflake from sources like databases, cloud storage, or streaming platforms
Designing and developing scalable data models and warehouses
Implementing data security policies
Conducting research and finding trends in raw data sets
Identifying patterns and creating models
Automating tasks
Basic Qualifications
Proficiency in SQL, JavaScript and Data Vault or Dimensional Data Model
Should have a strong grasp of SQL, as Snowflake uses this language for queries
Write complex queries and optimize for performance
Data modeling expertise - understanding data structures and being able to design efficient data models tailored to Snowflake architecture
Snowflake-specific knowledge - Engineer should be well versed in Snowflakes unique features, like handling semi-structured data and its approach to data sharing and security
ETL process knowledge - Engineer needs to manage data migrations to Snowflake
Includes extracting data from various data sourcing, transforming the data into usable formats and loading into the Snowflake platform
Snowflake is a cloud-native platform, so familiarity with cloud services, particularly Azure or AWS is required
Developer should be adept at tuning Snowflake settings to balance performance and costs
Skills in integrating Snowflake with various data sources, including APIs, databases, and cloud storage
Practiced at implementing data validation and cleansing processes to ensure data accuracy and consistency
Knowledge of Snowflakes security and compliance features, including role-based access control and secure data sharing
Analytical thinking - Engineer must be able to analyze complex data patterns and optimize data storage and retrieval
Need to be able to troubleshoot issues that arise within the Snowflake platform efficiently Ensures data accuracy and quality is paramount to this role
Engineer must keep up with new Snowflake features and best practices
Work with cross-functional team - good teamwork skills essential
Ability to clearly explain technical concepts to non-technical stakeholders
Location: Remote
Exp: 12+ Years
Must Have: *Snowflake Exp*
Description:
Seeking an experienced Snowflake Data Engineer to assist in the building of a Snowflake Data Warehouse and help develop data analytics solutions and algorithms to analyze raw data. Responsibilities will include, but not be limited to the following:
Assist with Data architecture
Assist with building and validating data architecture
Data collection
Designing, building, and fine-tuning data pipelines to load data into Snowflake from sources like databases, cloud storage, or streaming platforms
Designing and developing scalable data models and warehouses
Implementing data security policies
Conducting research and finding trends in raw data sets
Identifying patterns and creating models
Automating tasks
Basic Qualifications
Proficiency in SQL, JavaScript and Data Vault or Dimensional Data Model
Should have a strong grasp of SQL, as Snowflake uses this language for queries
Write complex queries and optimize for performance
Data modeling expertise - understanding data structures and being able to design efficient data models tailored to Snowflake architecture
Snowflake-specific knowledge - Engineer should be well versed in Snowflakes unique features, like handling semi-structured data and its approach to data sharing and security
ETL process knowledge - Engineer needs to manage data migrations to Snowflake
Includes extracting data from various data sourcing, transforming the data into usable formats and loading into the Snowflake platform
Snowflake is a cloud-native platform, so familiarity with cloud services, particularly Azure or AWS is required
Developer should be adept at tuning Snowflake settings to balance performance and costs
Skills in integrating Snowflake with various data sources, including APIs, databases, and cloud storage
Practiced at implementing data validation and cleansing processes to ensure data accuracy and consistency
Knowledge of Snowflakes security and compliance features, including role-based access control and secure data sharing
Analytical thinking - Engineer must be able to analyze complex data patterns and optimize data storage and retrieval
Need to be able to troubleshoot issues that arise within the Snowflake platform efficiently Ensures data accuracy and quality is paramount to this role
Engineer must keep up with new Snowflake features and best practices
Work with cross-functional team - good teamwork skills essential
Ability to clearly explain technical concepts to non-technical stakeholders