
Senior Data System Developer
1 week ago
Job Overview
This is a high-level data engineer role that involves creating and maintaining large-scale data systems.
Main Responsibilities:
- Designing and building efficient data pipelines to collect, process, and store large volumes of data in Snowflake.
- Developing ETL/ELT processes to integrate data from various sources into the data warehouse.
- Operating and optimizing cloud infrastructure to support data pipelines and processing tasks.
- Crafting optimized data models and schemas for improved performance, scalability, and reliability.
- Maintaining clear documentation and participating in code reviews to enhance the overall quality of the codebase.
- Implementing robust data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.
- Collaborating with product management and software engineers to integrate data solutions into applications and services.
Requirements
- At least 7 years of experience in a related field with a bachelor's degree;
- Proficiency in SQL, ETL pipelines, and Snowflake;
- Hands-on experience with dbt, Databricks, and handling large datasets with DataFrames;
- Ability to transform complex data into easily understood, actionable information;
- Experience working with Agile methodologies and Software Development Life Cycle (SDLC);
- Mastery of big data platforms and ability to implement best practices.
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