
Senior Software Engineer
3 weeks ago
Responsibilities :
- Design, develop, and maintain robust and scalable data pipelines and ETL/ELT processes within the Snowflake data warehouse.
- Utilize DBT (Data Build Tool) extensively for data transformations, data modeling, testing, and documentation within the Snowflake environment.
- Write and optimize complex SQL queries within Snowflake to extract, transform, and load data.
- Implement and maintain data quality checks and validation processes within Snowflake and DBT.
- Collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide efficient data solutions.
- Monitor and troubleshoot data pipeline performance and resolve any data-related issues within the Snowflake environment.
- Implement and enforce data governance policies and best practices within the Snowflake platform.
- Optimize Snowflake performance for cost-effectiveness and efficiency.
- Create and maintain comprehensive technical documentation for data pipelines, transformations, and data models within Snowflake and DBT.
- Adhere to best practices for Snowflake and DBT development, including version control and code management.
- Participate in code reviews and ensure code quality and adherence to standards.
Required Skillset :
Snowflake : Extensive hands-on experience (7+ years) in designing, developing, and managing data solutions on the Snowflake Data Cloud platform. This includes :
- Data loading and unloading techniques (Snowpipe, COPY INTO).
- Writing and optimizing complex SQL queries within Snowflake.
- Performance tuning and optimization of Snowflake queries and workloads.
- Understanding of Snowflake architecture, security features, and data sharing capabilities.
- Experience with Snowflake scripting and stored procedures.
DBT (Data Build Tool) : Strong proficiency (3+ years) in using DBT for :
- Building and managing data transformations within Snowflake.
- Implementing data modeling using Jinja templating.
- Writing and executing data quality tests.
- Generating documentation for data models and transformations.
- Managing DBT projects and deployments.
- SQL : Excellent proficiency in writing complex and efficient SQL queries for data manipulation, transformation, and analysis.
- Data Warehousing Concepts : Deep understanding of data warehousing principles, dimensional modeling (Star Schema, Snowflake Schema), and ETL/ELT methodologies.
- Data Quality and Governance : Experience in implementing data quality checks, validation rules, and data governance policies.
- Problem-Solving : Strong analytical and problem-solving skills with the ability to troubleshoot data-related issues effectively.
- Communication : Good verbal and written communication skills to collaborate effectively with team members and to Have Skills :
- Familiarity with Python for scripting and automation tasks related to data pipelines and Snowflake.
- Experience with cloud platforms such as AWS, Azure, or GCP and their data integration services.
- Experience with other data integration and ETL tools.
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Experience with version control systems (e.g., Git).
- Snowflake certifications.
- Experience working in an Agile development :
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Minimum of 6 years of experience as a Data Engineer with a strong focus on Snowflake and DBT.
- Proven experience in designing and implementing data solutions on the Snowflake platform.
- Significant hands-on experience with DBT for data transformations and modeling.
- Ability to work independently and as part of a collaborative team.
- Must be available to work on a 6-month contract.
(ref:hirist.tech)
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