Data Engineer

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Design, develop, maintain, and enhance data pipelines that facilitate data integration, transformation, and analytical initiatives.

• Create and uphold data models, data warehouses, and data structures that underpin reporting, business intelligence, and enterprise analytics.

• Extract, transform, validate, and load data from various source systems while ensuring data quality, integrity, consistency, and adherence to business requirements.

• Assist in the design, implementation, maintenance, and optimization of the organization's data architecture and technology platforms.

• Develop, maintain, and refine SQL queries, database objects, and data transformation processes to enhance performance and scalability.

• Collaborate with Business Intelligence, Analytics, Technology, and business stakeholders to gather requirements and deliver data solutions that align with business objectives.

• Support data quality initiatives by identifying, diagnosing, and resolving data inconsistencies, duplicate records, and integration challenges.

• Prepare and maintain technical documentation, data dictionaries, process documentation, and knowledge base resources to support ongoing operations and knowledge transfer.

• Effectively communicate technical concepts, project updates, and data insights to both technical and non-technical stakeholders.

• Conduct research and evaluate emerging technologies, tools, and best practices to enhance data engineering capabilities and operational efficiency.

• Comply with company policies and procedures.

• Achieve or surpass performance targets for relevant KPIs.

• Continuously enhance knowledge of products, services, and processes by participating in training programs and ongoing learning modules.

• Collaborate with other departments as required.

• Maintain a positive, empathetic, and professional demeanor toward customers and colleagues at all times.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Business Analytics, Data Science, or a related field is preferred.

• A minimum of one (1) year of experience in data engineering, business intelligence, data analytics, data integration, or a related field is preferred.

• Experience in designing, developing, and supporting data pipelines, ETL/ELT processes, and data integration solutions.

• Strong proficiency in SQL and relational database management systems.

• Familiarity with Python or other scripting languages utilized in data engineering and automation is preferred.

• Experience with cloud-based data platforms, data warehouses, and contemporary data architecture concepts is preferred.

• Knowledge of data transformation, data modeling, data validation, and data quality management practices.

• Experience with business intelligence and data visualization platforms such as Looker, Looker Studio, Tableau, Power BI, or similar tools is preferred.

• Strong analytical, problem-solving, and critical-thinking abilities with the capacity to interpret complex datasets and develop scalable data solutions.

• Excellent written and verbal communication skills, capable of conveying technical concepts effectively to both technical and non-technical stakeholders.

• Strong organizational and time management skills, able to manage multiple priorities and deadlines in a fast-paced environment.

• Ability to work independently as well as collaboratively within a cross-functional team environment.

• Commitment to data quality, continuous improvement, operational excellence, and data-driven decision-making.

🏝️ Benefits

• Competitive compensation structured to acknowledge your experience, contributions, and impact.

• Retirement Savings Program with Company Matching to assist in achieving your long-term financial goals.

• Life insurance coverage.

• HMO coverage beginning on Day 1.

• Complimentary dependent coverage, with one (1) dependent covered upon regularization and an additional (2) dependent added after one year of service.

• Paid time off along with birthday leave to allow you to rest, recharge, and celebrate your special day.

• Opportunities for skills training and personal and professional development to facilitate your ongoing growth.

• Employee Referral Program with rewards for successful referrals.