Lean Tech
Lean Tech is a staff augmentation company that specializes in offering businesses the talent and support they need through a proven nearshore and offshore model. The company helps in establishing remote satellite offices in Latin America and the Philippines, building mission-critical teams across various business functions such as operations, technology, marketing, and sales. Lean Tech focuses on workforce optimization, providing tailored solutions to align people, processes, and technology to enhance customer experiences while minimizing costs. The company also emphasizes social impact by engaging in corporate social responsibility initiatives.
Development • Logistics • Automation • Software • Education
Senior Data Engineer
14 hours ago
Lean Tech
Lean Tech is a staff augmentation company that specializes in offering businesses the talent and support they need through a proven nearshore and offshore model. The company helps in establishing remote satellite offices in Latin America and the Philippines, building mission-critical teams across various business functions such as operations, technology, marketing, and sales. Lean Tech focuses on workforce optimization, providing tailored solutions to align people, processes, and technology to enhance customer experiences while minimizing costs. The company also emphasizes social impact by engaging in corporate social responsibility initiatives.
Development • Logistics • Automation • Software • Education
📋 Description
• Support our data infrastructure using AWS (S3, RDS PostgreSQL), Airflow, Snowflake, and Power BI. • Design transactional databases to meet business needs. • Design and develop scalable data pipelines and workflows using Airflow to orchestrate data ingestion, transformation, and delivery. • Leverage AWS services (S3, RDS PostgreSQL, etc.) to build robust, highly available data solutions. • Collaborate with stakeholders to understand data requirements, ensuring data models and solutions align with business objectives. • Develop and maintain transactional databases in PostgreSQL on AWS RDS, ensuring optimal performance and reliability. • Work closely with application teams to design and optimize efficient, normalized transactional data structures. • Design data models that support efficient analytics and align with business requirements. • Ensure data quality and consistency across multiple data pipelines and systems. • Develop and optimize data schemas to support reporting and data science initiatives. • Implement best practices for performance tuning, capacity planning, and cost optimization across AWS, Snowflake, and other data platforms. • Monitor and troubleshoot data pipelines, proactively resolving bottlenecks and ensuring data availability. • Collaborate with cross-functional teams (Data Science, Product, IT, etc.) to ensure seamless data integration and architecture alignment. • Participate in architecture reviews, technical roadmaps, and strategic planning discussions.
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • 5+ years of experience in Data Engineering or a similar role. • AWS: Deep experience with S3, RDS (PostgreSQL), IAM, EC2, Lambda, or other related services. • Databases: Strong proficiency in PostgreSQL; ability to design normalized transactional database structures and optimize complex SQL queries. • Orchestration: Practical experience with Airflow for automating complex data pipelines. • Cloud Data Warehouse: Experience designing, developing, and optimizing data models in Snowflake. • BI Tools: Working knowledge of Power BI or other visualization tools for analytics and reporting. • Programming: Proficiency in Python, SQL, and shell scripting. • Nice to have Data Modeling & Transformation: Familiarity with DBT for building, testing, and maintaining transformation pipelines. • Version Control: Hands-on expertise with Liquibase (or similar) for database version control. • CI/CD & DevOps: Experience with modern software development practices (Git, CI/CD pipelines) is a plus.
🏖️ Benefits
• Professional development opportunities with international customers. • Collaborative work environment. • Career path and mentorship programs that will lead to new levels.
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