Data Engineer

Essential Job Functions Data Pipeline Development: Design, build, and maintain robust data pipelines for collecting, processing, and storing large volumes of data using the dbt framework. ETL/ELT Processes: Develop efficient processes to integrate data from diverse sources into our Snowflake data warehouse. Cloud Infrastructure Operations: Operate and optimize cloud infrastructure, including AWS , Databricks , and Snowflake , to support data pipelines and processing tasks. Data Modeling: Develop and maintain optimized data models and schemas for performance, scalability, and reliability using Kimball methodology. Code and Documentation: Participate in code reviews, maintain clear documentation, and engage in knowledge-sharing initiatives. Data Quality Assurance: Implement robust data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency. Collaboration: Collaborate with product management and software engineers to integrate data solutions into applications and services. Tool Evaluation: Evaluate and implement new tools and technologies to improve data infrastructure and workflows. Qualifications 7+ years of related experience with a bachelor’s degree; Proficiency in Snowflake , SQL , and ETL pipelines. Hands-on experience with dbt , Databricks , and handling large datasets with DataFrames. Ability to transform complex data into easily understood, actionable information Mastery with a core language and framework and experienced in another. Preferred programming languages are Java, Kotlin, Python. Experience with Agile methodologies and Software Development Life Cycle (SDLC ) Experience implementing best practices on big data platforms

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