Offer summary

Qualifications:

Experience with Snowflake data loading, transformation, and security setup., Proficiency in Python for data engineering and application development., Knowledge of dimensional modeling techniques like star and snowflake schemas., Hands-on experience with Streamlit for building data apps..

Key responsibilities:

Design and optimize scalable data pipelines and ETL processes using Snowflake.

Create dashboards and interactive data apps for internal stakeholders.

Develop Python scripts for data manipulation and automation.

Collaborate with teams to understand requirements and ensure data quality.

Job description

About Billigence:

Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture.

About the role:

•Design, develop, and optimize scalable data pipelines and ETL processes using Snowflake.

Implement dimensional data models to support efficient data warehousing and business intelligence needs.
Create interactive data apps and dashboards using Streamlit for internal stakeholders.
Develop Python scripts and tools for data manipulation, transformation, and automation.
Collaborate with data analysts, architects, and business stakeholders to understand requirements and translate them into technical solutions.
Monitor and improve data quality, reliability, and performance.
Maintain data documentation, version control, and ensure adherence to data governance policies.

Required Skills and Experience:

Strong experience with Snowflake (data loading, transformation, performance tuning, security setup, etc.).
Strong experience in writing stored procedures and tasks in Snowflake.
Proficiency in Python for data engineering and application development.
Hands-on experience with Streamlit to build and deploy data-driven web apps.
Solid understanding and practical application of dimensional modeling techniques (e.g., star/snowflake schema, slowly changing dimensions).
Experience with SQL and performance tuning in large-scale data environments.
Familiarity with CI/CD pipelines, version c Extension possible