Data Engineer

3 weeks ago

Mandaluyong, Philippines ERNI Full time

Overview

ERNI Mandaluyong, National Capital Region, Philippines

Join to apply for the Data Engineer role at ERNI .

Founded in 1994 and headquartered in Switzerland, ERNI is a leading software development company with over 800 employees worldwide. Our first service center in Asia Pacific is located in Metro Manila (Mandaluyong) and supports clients across Europe, APAC, the Philippines, and the USA. We are growing and seeking passionate and motivated individuals to join our team.

Responsibilities
  • Develop Data Engineering requirements using Azure Data Factory, Python, SSIS, and other relevant tools.
  • Deliver Data Lake & Data Warehouse related solutions and provide data support as needed.
  • Build simple dashboards and respond to ad-hoc data requests.
  • Support and maintain existing pipelines, queries, stored procedures, and reports.
  • Collaborate with teams to develop and deliver solutions.
  • Create and update documents such as ERD, Technical Requirements Documentation, Business Requirements Documentation, and Mapping Documentation.
Qualifications
  • Must have at least 4-7 years of relevant experience in data engineering.
  • Development in Azure Data Factory is a priority; experience with Cloud ETL (AWS Glue, GCP Cloud Data Fusion/Flow) is also considered.
  • Python programming skills in data analytics/big data are a must.
  • Cloud data engineering skills in Azure (preferred), AWS, and/or GCP are a must.
  • Experience in enterprise environments with Data Warehouse/Data Lake/Data Lakehouse is required.
  • Modern data architecture and data modeling experience.
  • Worked on at least 2 enterprise-scale projects as a Data Engineer.
  • Power BI or knowledge of BI tools is a must.
  • Good communication and writing skills; ability to manage stakeholders.
  • Independent worker with minimal supervision.
  • Machine Learning/AI understanding is a plus.
Growth and Opportunities
  • Free training to advance technical and non-technical skills.
  • Challenging projects across MedTech, Industry, Finance, and Transportation.
  • Supportive environment and opportunities for recognition and advancement.
  • Open communication and transparent culture.
Flexibility
  • Hybrid work setup combining remote and in-person work.
What you can contribute to the team

The Senior Data Engineer will work with the local D&IT team to deliver and support data analytics requirements, collaborating with stakeholders to provide solutions and architecture as needed. The role reports to the D&IT Business Solutions Manager for Data in the Philippine market.

Key Responsibilities
  • Develop data engineering requirements using Azure Data Factory, Python, SSIS, and related tools.
  • Solution and deliver data lake and data warehouse related solutions.
  • Provide ad-hoc data requirements and build simple dashboards.
  • Support and maintain pipelines, queries, stored procedures, and reports.
  • Collaborate with teams to deliver solutions.
  • Develop reports and simple dashboards in Power BI.
  • Create and update documents such as ERD, technical and business requirements, and mapping documents.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting

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