Sr. Data Engineer

Pointwest Squad Inc; Taguig; On-site; PHP 800,000 - 1,800,000; Full time

Job summary

Pointwest Squad Inc is seeking a Senior Data Engineer to design, build, and optimize large-scale data pipelines and cloud data solutions. The role focuses on ETL/ELT processes, data models, and data warehouses to ingest, process, and store vast data assets across modern cloud environments such as Databricks and Snowflake.

The position requires leadership, strong communication, and collaboration with analytics and product teams to ensure governance, security, and reliable operations.

Qualifications

• At least 8 years of total Data Engineering experience with large-scale pipelines and cloud data platforms.
• Proven experience designing, building, and optimizing scalable data solutions.
• Hands-on Python for data transformation, automation, and pipeline development.

Responsibilities

• Design, build, and optimize automated data pipelines, ETL/ELT processes, and data models for cloud platforms.
• Support large-scale data migrations with data accuracy and minimal business disruption.
• Collaborate with analytics, product, and business teams to translate data needs into solutions.

Skills

Python

SQL

Data pipelines

Data modeling

Cloud platforms

Leadership

Communication

Problem solving

Time management

ETL/ELT

Tools

Databricks

Snowflake

Job description

• Design, build, and optimize automated data pipelines, ETL/ELT processes, and data models to ingest, process, and store large volumes of data within cloud-based platforms.
• Support large-scale data migration initiatives, ensuring data accuracy, performance efficiency, and minimal business disruption.
• Develop and maintain ETL/ELT workflows to ingest, transform, and load data from multiple internal and external sources with a focus on scalability and reliability.
• Partner with business, analytics, and product teams to translate data requirements into effective technical solutions that support strategic initiatives.
• Design and deliver data marts and customized data extractions aligned with business and reporting needs.
• Ensure compliance with enterprise data governance, security, and regulatory standards.
• Monitor data pipeline health and performance, troubleshoot data incidents, and implement preventive and corrective measures.
• Document data workflows, schemas, technical specifications, and operational runbooks to support operational stability and knowledge transfer.
• Collaborate closely with product owners, data architects, and data scientists to maintain a reliable and efficient data infrastructure.
• Drive continuous improvement of data engineering practices, tools, and automation frameworks.
• Provide technical guidance and mentorship to junior engineers through code reviews, best-practice sharing, and troubleshooting support.
• Manage and deliver multiple data engineering initiatives concurrently while meeting quality, scope, and timeline expectations.

Requirements

• At least 8 years of total Data Engineering experience, with strong exposure to large-scale data pipelines, ETL/ELT development, and enterprise or cloud-based data platforms.
• Proven experience designing, building, and optimizing scalable data solutions in modern data environments.
• Python – At least 4 out of 5 proficiency level, with strong hands-on experience in data transformation, automation, and pipeline development.
• SQL – At least 3 out of 5 proficiency level, with demonstrated capability in complex queries, data modeling, and performance tuning.
• Experience working with modern data cloud platforms, such as Databricks and/or Snowflake.
• Platform and Cloud Exposure - Currently working with or has recent hands-on experience in enterprise-grade cloud data ecosystems. With a strong understanding of cloud-native data architecture and best practices.
• Strong verbal and written communication skills
• Demonstrated leadership and technical influence
• Strong analytical, critical thinking, and problem-solving abilities
• Process orientation with the ability to enforce standards and best practices
• Strong organizational, multitasking, and time-management skills
• Stakeholder and cross-functional collaboration skills