Data Engineer

About the company:

GRUPO DISBYTE is more than a company; we're an agile powerhouse of creative minds and professionals, united by our shared love and ion for creating unique quality products and solutions from the ground up. Our purpose is straightforward yet very challenging, to democratize access to high quality products, levering for this technological innovation. Our origins trace back to the online marketplace where our entrepreneurial journey began. This foundation not only shaped our approach but also enabled us to incubate and launch a diverse range of products and services.

Today, these products stand as a testament to our commitment, sold exclusively within the marketplace. We take pride in our deep-rooted integration - from ideation to production. By collaborating closely with factories, we can present our offerings under our distinct brands, fostering a direct and authentic connection with our ers making sure quality is always there.

As 2025 unfolds, we're on a quest to grow further, expanding our horizons, connecting with more people and continue making a meaningful impact.

We are looking for highly motivated, curious, experienced and talented individuals who can think outside the box to achieve company objectives regarding value and partnerships with our suppliers. Our organization moves quickly, and you must too.

Job Summary:

We are looking for an experienced Data Engineer with strong e-commerce background to design and implement a robust data architecture that meets the organization's analytical and reporting needs. This role will focus on ensuring data is accurately modeled, well-documented, and optimized for use by the Business Intelligence (BI) team, ensuring consistent and high-quality information delivery. The ideal candidate will bring strong technical expertise in data modeling, ETL processes, and cloud technologies, paired with effective experience working with e-commerce data and platforms. You should have a deep understanding of e-commerce data structures, customer journey analytics, and marketplace data patterns.

Key Responsibilities:

• Design, build, and maintain optimized data models to analysis and reporting.
• Develop and implement ETL/ELT workflows to integrate data from diverse sources, including APIs, web scraping, and file systems.
• Create and manage database objects such as views, stored procedures, and triggers to streamline data processing.
• Establish and enforce data quality controls and validation frameworks.
• Develop and maintain technical documentation, including data dictionaries, to BI team operations.
• Optimize SQL queries and stored procedures to improve performance and efficiency.
• Collaborate with data analysts to gather requirements and deliver effective solutions.
• Monitor, troubleshoot, and enhance the performance and reliability of data pipelines.
• Adhere to best practices for data governance, security, and compliance.
• Provide technical mentorship and to analytics team .

Requirements:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Strong understanding of e-commerce data ecosystems, including online marketplaces, product catalogs, customer journey, and transaction systems.
• Proven expertise in SQL and query optimization (e.g., PostgreSQL, Redshift).
• Advanced Python programming skills for ETL development and data manipulation.
• Strong proficiency in data modeling techniques (star/snowflake schemas, data vault).
• Demonstrated experience translating complex business requirements into efficient data structures and schemas.
• Proficiency in using Apache Airflow for process orchestration.
• Strong familiarity with AWS services (RDS, Redshift, Lambda, S3, etc.).
• Experience with API integrations and managing external data sources.
• Solid understanding of Git for version control.
• Demonstrated ability to develop automated and monitored workflows.
• Excellent problem-solving skills and a detail-oriented mindset.
• Strong communication and teamwork abilities.
• 3-5 years of relevant experience in a similar role.

Nice to have:

• Experience with data visualization tools and BI platforms (e.g., Tableau, Power BI).
• Knowledge of machine learning frameworks.
• Familiarity with real-time data processing solutions.
• Understanding of data privacy regulations and compliance standards.
• Experience with NoSQL databases (e.g., MongoDB, DynamoDB).
• Expertise in advanced data modeling methodologies beyond dimensional modeling.