Executive Monroe Consulting Group is recruiting on behalf of a Philippine multinational food processing company that plays a major role in the country's food and beverage industry.
The ideal candidate will have a strong background in data engineering, with expertise in designing and implementing scalable data solutions. He will play a crucial role in developing, optimizing, and maintaining our data architecture to support the organization's data-driven initiatives.
This job is based in Ortigas, Pasig City, Metro Manila and has a Hybrid work set-up (once a week onsite) with a day shift schedule.
Key Job Responsibilities: Data Architecture Design:
- Design and implement scalable, robust, and maintainable data architectures to support business needs.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
ETL Development:
- Develop and maintain Extract, Transform, Load (ETL) processes for ingesting and processing large volumes of data.
- Optimize and troubleshoot ETL workflows to ensure data accuracy, completeness, and timeliness.
Database Management:
- Manage and optimize relational and non-relational databases for performance and scalability.
- Implement data partitioning, indexing, and other strategies to enhance database performance.
Data Modeling:
- Design and implement data models for efficient storage and retrieval of structured and unstructured data.
- Ensure data models align with business requirements and industry best practices.
Big Data Technologies:
- Utilize big data technologies such as Apache Spark and Hadoop for large-scale data processing and analytics.
- Implement and optimize data pipelines using AWS services like EMR and Glue.
Quality Assurance:
- Implement data quality checks and validation processes to ensure data accuracy and integrity.
- Collaborate with data scientists and analysts to validate and QA analytical results.
Collaboration and Communication:
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver effective solutions.
- Communicate complex technical concepts to non-technical stakeholders.
Documentation:
- Create and maintain comprehensive documentation for data engineering processes, workflows, and systems.
- Ensure documentation is up-to-date and accessible to relevant team members.
Key Job Qualifications:
Education and Experience:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related f ield.
- Minimum of 3 years of experience in data engineering roles.
Technical Skills:
- Proficiency in programming languages such as Python and SQL.
- Extensive experience with cloud platforms, particularly AWS.
- Strong knowledge of big data technologies and ETL tools.
Communication Skills:
- Excellent communication and interpersonal skills.
- Ability to collaborate effectively with cross-functional teams.
Problem-Solving:
- Strong analytical and problem-solving skills.
- Proven ability to troubleshoot and resolve complex data issues.
Adaptability:
- Ability to adapt to changing technologies and evolving business requirements.
- Commitment to continuous learning and professional development.
