Data Engineer - Mid Senior

November 11, 2024

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Umpisa Inc

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Umpisa Inc. is a company that specializes in building companies and applications by leveraging expertise in business, technology, and data. Their mission is to position the Philippines as a global tech hub. They offer tailor-made software solutions with a focus on modern software development, UI/UX design, quality assurance, and business analysis. Umpisa Inc. is skilled in technologies like React, React-Native, Flutter, and Node. js, adhering to DevSecOps practices. They also engage in venture building, providing expertise in business and digital strategy, product management, and offering CTO-as-a-Service. Operating across industries such as fintech, real estate, and education, they aim to create authentic connections through their diverse tech professionals and strong engineering culture.

11 - 50 employees

📋 Description

• Umpisa Inc. aims to establish the Philippines as a global tech hub. • Umpisa Inc. is a progressive technology services company focused on digital transformation and software development. • The Data Engineer will design, build, and maintain data architecture, pipelines, and systems for efficient data management.

🎯 Requirements

• Data Pipeline Development: Design, build, and maintain scalable data pipelines for collecting, processing, and storing data from various internal and external sources. • Data Integration: Work with various data sources, including APIs, databases, and cloud services, to integrate and centralize data into a unified data warehouse or data lake. • ETL/ELT Processes: Develop and optimize ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes to ensure efficient and accurate data ingestion and transformation. • Data Warehousing & Architecture: Design and implement data architecture solutions to ensure data is structured, stored, and accessible for analysis. This includes the maintenance of relational and non-relational databases (e.g., SQL, NoSQL, data lakes). • Data Quality & Governance: Monitor and enforce data quality standards, data governance policies, and best practices for data security, privacy, and compliance. • Automation: Automate repetitive data processing tasks to ensure efficiency, scalability, and reliability in data workflows. • Collaboration: Work closely with data scientists, data analysts, and business intelligence teams to understand their data needs and ensure that data infrastructure supports their requirements. • Performance Optimization: Identify and implement optimizations to improve the performance of data systems, pipelines, and queries, ensuring timely and reliable access to data. • Documentation & Support: Maintain detailed documentation of data architecture, pipeline processes, and best practices to ensure knowledge sharing and system sustainability. • Monitoring & Troubleshooting: Monitor data systems and pipelines to proactively identify issues, perform debugging, and implement solutions to ensure system reliability. • Trustworthy, self-motivated, responsive and sharp • Strong listening, verbal, written and presentation communication skills are essential • Excellent attention to detail • Strong communication skills, organization skills, time management skills