ETL Developer

Enternet Business Systems - Trenton, NJ

Full-time

Trenton, NJ

Personal and Laundry Services

About the position

The ETL Developer is responsible for leveraging dbt (data build tool) to transform, model, and manage data within an organization's data analytics stack. This role plays a crucial part in streamlining data workflows, ensuring data accuracy, and providing a structured foundation for data analysis and reporting. The position requires strong SQL skills and experience with ETL processes, with a focus on collaboration and data quality assurance.

Responsibilities

• Design and implement data transformations and models using dbt to create structured, cleaned, and aggregated datasets.
• Develop and maintain dbt models that accurately represent business logic and data requirements.
• Write and optimize SQL queries within dbt to extract, manipulate, and join data from various sources.
• Ensure SQL code follows best practices for readability, performance, and maintainability.
• Use version control systems (e.g., Git) to manage dbt codebase, enabling collaborative development and tracking changes over time.
• Collaborate with data engineers and analysts to coordinate code changes.
• Implement unit tests within dbt to verify the accuracy and reliability of data transformations.
• Document dbt models, data lineage, and transformations to facilitate understanding and collaboration.
• Schedule and automate dbt runs to keep data models up-to-date and synchronized with source systems.
• Develop and enforce data quality checks and validations within dbt to identify and rectify data issues.
• Monitor data quality and integrity, responding to anomalies or discrepancies.
• Optimize dbt models and queries for performance, identifying and addressing bottlenecks.
• Analyze and fine-tune data processing pipelines to meet performance requirements.
• Collaborate closely with data engineers, data analysts, and business stakeholders to understand data requirements and deliver data solutions.
• Participate in cross-functional teams and contribute to data-related projects.
• Ensure data security and compliance with relevant data protection regulations through appropriate data handling practices.
• Share knowledge of dbt best practices and data modeling techniques with team members.
• Provide training and support to data analysts and other users of dbt.

Requirements

• Bachelor's or master's degree in computer science, data science, or a related field.
• Strong proficiency in SQL and experience working with relational databases.
• 3+ years of experience using dbt for data transformation and modeling in a data warehouse environment.
• 7+ years of experience building business rules using a business rules engine similar to dbt.
• Familiarity with version control systems (e.g., Git) and code collaboration workflows.
• Excellent data analysis and problem-solving skills.
• Strong attention to detail and a commitment to data quality.
• Understanding of data warehousing concepts and best practices.
• Knowledge of data governance and data security principles.
• Effective communication and collaboration skills to work with diverse teams.

Nice-to-haves

• Experience with other data tools and languages (e.g., Python, R, Looker) is a plus.