Job Title: Senior Data Engineer
Location: Pampanga (Hybrid)
Job Overview
We are looking for an experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms that support analytics, reporting, and business intelligence initiatives. The ideal candidate has strong experience in Databricks and modern data engineering tools, with the ability to work with large-scale datasets in a cloud-based environment.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support data analytics and reporting requirements.
- Build and optimize data solutions using Databricks and modern big data technologies.
- Develop and maintain data models, data lakes, and data warehouses to support business intelligence initiatives.
- Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver reliable data solutions.
- Implement data quality, governance, and security standards across data platforms.
- Optimize data workflows and processing performance for large-scale data environments.
- Monitor, troubleshoot, and resolve issues related to data pipelines and data infrastructure.
- Participate in architecture discussions and contribute to the continuous improvement of the data platform.
Required Qualifications
- 5+ years of experience in Data Engineering or related roles.
- Hands-on experience with Databricks (non-negotiable).
- Strong experience with SQL and Python for data processing and transformation.
- Experience building data pipelines, ETL/ELT processes, and large-scale data workflows.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with data lake, data warehouse, and big data architectures.
- Strong understanding of data modeling and data architecture best practices.
- Experience working with large datasets and distributed data processing frameworks.
Preferred Qualifications
- Experience with Spark, Delta Lake, or other big data technologies.
- Exposure to data orchestration tools such as Airflow or similar platforms.
- Experience supporting analytics, machine learning, or business intelligence teams.
Key Competencies
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced and collaborative environment
- Strong communication and stakeholder management skills
