Remote Snowflake Tech Lead - Data Pipelines & Analytics

Sabenza IT & Recruitment; Remote; ZAR 600 000 - 800 000; Full time

Job summary

A leading IT recruitment company is seeking a skilled data engineer for a remote position focused on Snowflake development. The ideal candidate will have a degree in IT and strong SQL and Python skills, coupled with experience in ETL/ELT tools and a solid understanding of data warehousing concepts. The role includes performance tuning, data quality assurance, and collaboration with BI teams. Excellent problem-solving and communication skills are essential for success in this dynamic role.

Qualifications

• Strong SQL skills, including complex queries and performance tuning.
• Proficient in Python for data processing.
• Solid understanding of data warehousing concepts like Kimball and Data Vault.
• Familiarity with cloud platforms, preferably Azure.
• Knowledge of data governance and compliance with GDPR.
• Excellent problem-solving skills and communication.

Responsibilities

• Build and optimise Snowflake objects including databases and tables.
• Develop and maintain robust ETL/ELT data pipelines.
• Implement dimensional models and efficient structures for analytics.
• Optimise queries and manage warehouse sizing.
• Ensure data quality and accuracy through testing frameworks.
• Apply security measures and comply with data governance standards.
• Collaborate with BI teams for semantic alignment.
• Maintain clear documentation for models and processes.

Skills

Snowpark

UDFs

dynamic tables

external tables

streaming/CDC

Kafka

Fivetran

Debezium

Power BI

Tableau

Looker

Education

Degree in IT

Matric

Tools

dbt

Airflow

Azure Data Factory

Informatica

Matillion

Job description

A leading IT recruitment company is seeking a skilled data engineer for a remote position focused on Snowflake development. The ideal candidate will have a degree in IT and strong SQL and Python skills, coupled with experience in ETL/ELT tools and a solid understanding of data warehousing concepts. The role includes performance tuning, data quality assurance, and collaboration with BI teams. Excellent problem-solving and communication skills are essential for success in this dynamic role.