Senior Data Engineer

Lewis Personnel Management; Philippines; Hybrid; PHP 900,000 - 1,700,000; Full time

Job summary

Lewis Personnel Management in the Philippines is seeking a Senior Data Engineer to design, build, and maintain scalable data solutions that support BI and advanced analytics. The role collaborates with business and IT stakeholders on data pipelines, warehousing, migration, and quality initiatives.

The ideal candidate has 3–6 years in data engineering, works with Snowflake, PostgreSQL, MS SQL, AWS services, and Python/Java, and applies ETL, data modeling and agile practices in a hybrid setup.

Qualifications

• 3 to 6 years of data engineering experience and related roles.
• Degree in Computer Science, IT, Engineering or related quantitative field.
• AWS Data Engineer Specialty or AWS Solutions Architect Associate certification.
• Snowflake SnowPro Core Certification.
• Strong experience with Snowflake, PostgreSQL, MS SQL, AWS Glue, AWS RDS, and AWS Fargate.
• Advanced programming skills in Python and/or Java.
• Strong knowledge of ETL, data warehousing, BI, data modeling, and advanced analytics.
• Experience with Scrum, Kanban, or SAFe.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Responsibilities

• Design and maintain scalable data pipelines, data marts, and data warehouse solutions.
• Analyze and transform internal and external data for BI and advanced analytics.
• Develop and maintain data platforms using AWS and Snowflake.
• Execute data migration from existing databases to the enterprise data warehouse.
• Build analytical tools and prototypes to support business requirements.
• Improve data quality, reliability, and accessibility.
• Perform data platform housekeeping and maintenance.
• Promote data engineering standards, best practices, and Agile methodologies.

Skills

Data pipelines

Python

Java

SQL

Snowflake

PostgreSQL

MS SQL

AWS

ETL

Data warehousing

BI

Agile methodologies

Education

Bachelor’s/Master’s degree in Computer Science, IT, Engineering, or related quantitative field

Tools

Snowflake

PostgreSQL

MS SQL

AWS Glue

AWS RDS

AWS Fargate

Job description

Location: BGC, Taguig | Work Setup: Hybrid (3 days onsite) | Shift: Morning | Employment: Full-time

Role Overview

We are looking for a Senior Data Engineer to design, build, and maintain scalable data solutions supporting BI and advanced analytics. The role will work closely with business and IT stakeholders on data pipelines, data warehousing, data migration, and data quality initiatives.

Key Responsibilities

• Design and maintain scalable data pipelines, data marts, and data warehouse solutions.

• Analyze and transform internal and external data for BI and advanced analytics.

• Develop and maintain data platforms using AWS and Snowflake.

• Execute data migration from existing databases to the enterprise data warehouse.

• Build analytical tools and prototypes to support business requirements.

• Improve data quality, reliability, and accessibility.

• Perform data platform housekeeping and maintenance.

• Promote data engineering standards, best practices, and Agile methodologies.

Qualifications

• 3 - 6 years of experience in data engineering or a related role; financial industry experience preferred.

• Bachelor’s/Master’s degree in Computer Science, IT, Engineering, or related quantitative field.

• AWS Data Engineer Specialty or AWS Solutions Architect Associate certification.

• Snowflake SnowPro Core Certification.

• Strong experience with Snowflake, PostgreSQL, MS SQL, AWS Glue, AWS RDS, and AWS Fargate.

• Advanced programming skills in Python and/or Java.

• Strong knowledge of ETL, data warehousing, BI, data modeling, and advanced analytics.

• Experience with Scrum, Kanban, or SAFe.

• Excellent analytical, problem-solving, communication, and stakeholder management skills.