Data Engineer
PHP 40,000 - 70,000 monthly
MISNet
51-200 employees Makati, Metro Manila
51-200 employees Makati, Metro Manila
The Data Engineer position requires analytical and design skills with the ability to translate user and system requirements into a data model and technical design.
Key Responsibilities:
- Create ETL design documentation, Source-to-Target spreadsheets, and technical design specifications.
- Provides technical expertise, troubleshoots, guides and supports during design, development, testing, production and post-production
- Understand the source system, capture and document business rules
- Analyze and propose changes to maximize code re-usability and maintaining business value
- Develop, implement and maintain highly efficient and scalable ETL processes.
- Provides expert technical knowledge and solutions pertaining to Data Integration.
- Identify opportunities to optimize the ETL environment, implement monitoring, quality and validation processes to ensure data accuracy and integrity.
- Provide inputs into data governance organization to drive the data governance charter.
- Ensure compliance to internal standards and guidelines.
- Conduct unit testing and component integration testing for solutions developed
Hiring Criteria:
- Bachelor’s degree in an information technology field or Computer Science or related fields
- Technically strong in ETL concept, design and development.
- 5- 7 years' experience developing medium to large complex Integration solutions using Informatica ETL
- 4+ years of experience with both hands-on and lead experience in providing data warehousing solutions
- Strong SQL & PL/SQL skills with the ability to solve highly complex challenges
- Basic technical experience and business knowledge in various SDLC methodologies including waterfall, iterative, agile software development life cycle or related disciplines/processes is preferred.
- Good communication and interpersonal skills
- Ability to communicate clearly in writing to document data requirements and translate into technical solutions.
- Strong Spark & Hadoop/Cloudera skills.
- In-depth knowledge of ETL tools is preferred, e.g. Ab Initio, Informatica, and Data Stage.
- Knowledge in DevOps tools such as Bitbucket for building code repository and Oozie and Airflow for batch execution is preferred.
- Advanced technical and business knowledge in software development life cycle, quality assurance, project management and other related disciplines/processes.
- Understanding of ETL design and development best practices.
- Understanding of data governance, master data management best practices.
- Leadership
- Strategic and Business Acumen
- Decision Making and Accountability
- Resourceful Planning and Organizing
- Change management skills
- Functional
- Data Management/Programming
- Presentation Skills/Ability to communicate findings to both business and IT
- Collaborative Teamwork
- Results Orientation
- Inspiring self – must possess intellectual curiosity to enjoy problem solving and ask the right questions to fully understand business rules