Senior Data Engineer (R Expert) at ERNI Philippines

Mandaluyong, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Azure Data Factory, Azure Databricks, Python, Cloud Data Engineering, Data Warehouse, Data Lake, Data Lakehouse, Modern Data Architecture, Data Modeling, PowerBI, Data Migration, R Language, Analytics, SSIS, Business Intelligence

Industry

IT Services and IT Consulting

Description

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. • 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: Must have at least 4-7 years Relevant experience in Data Engineering Development in Azure Data Factory and Azure Databricks Python programming skills in Data Analytics/Big Data is a must Cloud Data Engineering skills in Azure (preferred), AWS, and/or GCP is a must Must have experience working in enterprise environment with Data Warehouse/Data Lake/Data Lakehouse environment Modern Data Architecture and Data Modeling experience Worked on at least 1 enterprise scale projects as a Data Engineer PowerBI or knowledge on BI tools is a must Independent can work on his/her own with minimal to zero supervision Experience in data engineering migration, specifically converting scripts from R Language to Python. 💼How can you contribute to the team? Develop Data Engineering Requirements using Azure Data Factory, Azure Databricks, Python, SSIS and other relevant tools. Support migration of existing R-based data engineering or analytics scripts into Python for improved scalability and maintainability. Solutioning and delivery of Data Lake & Data Warehouse related solutions. Provide business of ad-hoc data requirements and be able to build simple dashboards. Support and maintenance of existing pipelines, queries, stored procedures, and reports. Collaborate with teams to develop and deliver solutions. Be able to develop reports and simple dashboards in PowerBI. Create and update required documents such as ERD, Technical Requirements Documentation, Business Requirements Documentation, Mapping Documentations etc…

Responsibilities

Develop data engineering requirements using various tools and support the migration of existing R-based scripts into Python. Collaborate with teams to deliver data lake and data warehouse solutions while maintaining existing pipelines and reports.