Analytics Engineer
Remote, South Africa Remote, South AfricaJob Description
Key Responsibilities:
- Report to the team lead and be a key contributor to our migration from a legacy SQL Server data stack to a modern cloud data stack consisting of Snowflake, dbt and Tableau
- Design and build data pipelines using Snowpark and/or Snowpipe where native connectors do not exist for Snowflake for various data sources
- Contribute to designing and building a new multi-dimensional data model in Snowflake
- Work closely with our Business Intelligence Analytics team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders
The successful candidate will also be given the opportunity to develop mentoring skills as we look to expand the team’s skillset to match those of our counterpart US team. As we work collaboratively with team members in different time zones, it is important that the candidate has strong interpersonal skills.
Requirements:
3+ years of experience in data engineering, ideally including cloud migration to Snowflake
Strong SQL skills (CTEs and window functions)
Proficiency in Python for building pipelines with Snowpark
Experience designing multi-dimensional data models with star schema and Type 2 SCDs
Experience with dbt for building robust ELT processes
Key Responsibilities:
- Report to the team lead and be a key contributor to our migration from a legacy SQL Server data stack to a modern cloud data stack consisting of Snowflake, dbt and Tableau
- Design and build data pipelines using Snowpark and/or Snowpipe where native connectors do not exist for Snowflake for various data sources
- Contribute to designing and building a new multi-dimensional data model in Snowflake
- Work closely with our Business Intelligence Analytics team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders
The successful candidate will also be given the opportunity to develop mentoring skills as we look to expand the team’s skillset to match those of our counterpart US team. As we work collaboratively with team members in different time zones, it is important that the candidate has strong interpersonal skills.
Requirements:
3+ years of experience in data engineering, ideally including cloud migration to Snowflake
Strong SQL skills (CTEs and window functions)
Proficiency in Python for building pipelines with Snowpark
Experience designing multi-dimensional data models with star schema and Type 2 SCDs
Experience with dbt for building robust ELT processes
Job Description
Key Responsibilities:
- Report to the team lead and be a key contributor to our migration from a legacy SQL Server data stack to a modern cloud data stack consisting of Snowflake, dbt and Tableau
- Design and build data pipelines using Snowpark and/or Snowpipe where native connectors do not exist for Snowflake for various data sources
- Contribute to designing and building a new multi-dimensional data model in Snowflake
- Work closely with our Business Intelligence Analytics team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders
The successful candidate will also be given the opportunity to develop mentoring skills as we look to expand the team’s skillset to match those of our counterpart US team. As we work collaboratively with team members in different time zones, it is important that the candidate has strong interpersonal skills.
Requirements:
3+ years of experience in data engineering, ideally including cloud migration to Snowflake
Strong SQL skills (CTEs and window functions)
Proficiency in Python for building pipelines with Snowpark
Experience designing multi-dimensional data models with star schema and Type 2 SCDs
Experience with dbt for building robust ELT processes
Key Responsibilities:
- Report to the team lead and be a key contributor to our migration from a legacy SQL Server data stack to a modern cloud data stack consisting of Snowflake, dbt and Tableau
- Design and build data pipelines using Snowpark and/or Snowpipe where native connectors do not exist for Snowflake for various data sources
- Contribute to designing and building a new multi-dimensional data model in Snowflake
- Work closely with our Business Intelligence Analytics team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders
The successful candidate will also be given the opportunity to develop mentoring skills as we look to expand the team’s skillset to match those of our counterpart US team. As we work collaboratively with team members in different time zones, it is important that the candidate has strong interpersonal skills.
Requirements:
3+ years of experience in data engineering, ideally including cloud migration to Snowflake
Strong SQL skills (CTEs and window functions)
Proficiency in Python for building pipelines with Snowpark
Experience designing multi-dimensional data models with star schema and Type 2 SCDs
Experience with dbt for building robust ELT processes
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