Junior Data Engineer

Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team. 

Why ERNI is the Perfect Place for You: 🏡 

• International Exposure: Work with global clients on cutting-edge projects.
• Inclusive Culture: Thrive in a collaborative and diverse work environment.
• Career Development: Enjoy continuous learning and professional growth opportunities.


🤩Perks and Benefits: 
• Career Stability: Enjoy a stable career path with ample project opportunities.
• Immediate Coverage: Private HMO and insurance benefits from day one.
• Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites.
• Comprehensive Benefits: Government-mandated benefits including 13th-month pay.
• Skill Enhancement: Access free training and certifications.
• Wedding Gift: To celebrate your special day.
• Baby Basket: To welcome your newborn to the ERNI family.
• Fruit Basket: Boost of vitamins during hospitalization.
• Office Perks: Enjoy free snacks and coffee.

🔐Growth and Opportunities: 
• Free Training: Advance your skills through technical and non-technical training.
• Challenging Projects: Engage in complex software projects across MedTech, Industry,
Finance, and Transportation.
• Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
• Recognition and Advancement: Receive acknowledgment for your efforts and
opportunities for promotion.
• Open Communication: Experience transparency and value your input in our culture.

⏱Flexibility: 
• Hybrid Work Setup: Balance remote and in-person work for better work-life integration.

🎉Events: 
• Connect and Celebrate: Participate in a variety of events including leisure, summer,
family, social, and year-end gatherings.


👋What are our wishes: 

• Education: Graduate in Bachelor of Science in Computer Science, Information Technology or equivalent disciplines.
• Experience(s): Fresh graduate or 1 year of experience as a data engineer. Knowledge using analytics tools is a plus.
• Specific Knowledge: 
• Skills in developing system integration and data integration. Building SQL languages and developing reporting packages. Use of RDBMS tool/s is a plus.
• Skills in developing data pipelines to the data warehouse, developing a staging area, developing batch processes and developing scripting language/s. Using ETL/ELT tool/s is a plus.
• Knowledge in managing data warehouse and data pipelines. Working in database server/s is a plus.
• Knowledge in creating data pipelines and data marts for user’s report/dashboard. Using business intelligence tool/s is a plus.
• Practices statistical programming or analytics. Specifically unsupervised learning or machine learning. Using statistical tools is a plus.
• Nice to have skills in Office365, SQL, PHP, JS, Power BI, Python, R and Hadoop.

• Business Understanding:
  • Communicates and understands business processes and interprets business data into data models or data architecture.
  • Problem-solving skills by providing effective solution/s based on business needs and identify future improvements as analytical solution.

💼How can you contribute to the team?

The position is primarily responsible for

• Working with the business intelligence or data operations team. Building and rebuilding a strong data pipeline to ensure security, quality and integrity use of information internally and externally. While maintaining scalability use of the data warehouse and monitoring accuracy of incoming and outgoing data from the date warehouse/s.

Duties & Responsibilities

• Integrates single to multiple sources of new and existing data in the data pipelines. Building API’s is a plus.
• Ability to transform and manage data models to the data warehouse.
• Monitor the scalability of data structure’s performance.
• Secure and track a quality-controlled use of data across the company.
• Collaborate with the data team to improve data structure.
• Ensure an optimized data consumption use by the business users and the business intelligence team.
• Strongly communicates with the team and contributes insights to projects.
• Resilient problem-solving skills working with data and projects.