Data Engineer at ERNI Philippines

Mandaluyong, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, Spark, Scala, SQL, Shell Scripting, Databricks, Snowflake, Hadoop, Oracle, Azure, AWS, GIT, CI/CD Pipelines, Data Integration, Data Governance, Documentation

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: Technical Skills: · Programming: Python, PySpark, Spark, Scala, SQL and Shell scripting · Data Platforms: Databricks, Snowflake, Hadoop, Oracle · Cloud Platforms: Azure (preferred), AWS (nice-to-have) · Version Control & Automation: GIT, CI/CD pipelines · Architecture & Design: Lakehouse / Medallion patterns, ELT/ETL workflows, data integration and orchestration · Optimization: SQL performance tuning and cloud cost management · Documentation: ER modeling, data flow documentation, development standards and best practices 💼How can you contribute to the team? Key Responsibilities: · Design, build, and optimize automated data pipelines, ETL/ELT processes and data models within the new cloud platform to ingest, process, and store large volumes of data. · Support the big data migration effort, ensuring data accuracy, performance efficiency, and minimal business disruption. · Creates ETL/ELT workflows to ingest, transform, and load data from various sources, ensuring performance and scalability. · Collaborate with business and analytics teams to deliver data requirements for new strategic business imperatives. · Designs, develops and generates datamarts and customized data extraction in line with business needs. · Ensure adherence to data governance, security, and compliance standards. · Monitor pipeline health and performance, troubleshoot data incidents and implement preventive measures. · Document data workflows, schemas, technical specifications, and operational runbooks to support team knowledge transfer. · Work closely with product owners, data architects and data scientists to ensure our data infrastructure is reliable and efficient. · Contribute to continuous improvement of data engineering practices, tools, and automation. · Provide technical guidance and mentorship to junior engineers through code reviews, best-practice sharing, and troubleshooting support · Manage and deliver multiple projects or initiatives concurrently, ensuring timely and high- quality outcomes.

Responsibilities

The Data Engineer will design, build, and optimize automated data pipelines and ETL/ELT processes to manage large volumes of data. They will also support big data migration efforts and ensure data accuracy and performance efficiency.