Senior Data Analyst: SQL, ETL/Pipeline Expert | AWS/GCP

TerraBarn Inc.; Mandaluyong; On-site; PHP 600,000 - 900,000; Full time

Benefits offered by this job

HMO Coverage (Intellicare) – Day 1 (₱̂

13th Month Pay

Performance Bonus

21 Days PTO

Milestone Service Rewards or Extra PTO

Job summary

TerraBarn Inc. in Mandaluyong is seeking a Senior Data Analyst to manage and optimize data pipelines, analyze large datasets, and support cloud-based data platforms. You will work closely with data and engineering teams to ensure data accuracy and reliable performance.

The role requires 3+ years in data analytics or data engineering, strong SQL, and Python/Java/Scala proficiency, with AWS/GCP experience. On-site work, with a competitive benefits package.

Qualifications

• Bachelor’s degree in IT, Computer Science, Data Analytics, or related field
• At least 3+ years experience in Data Analytics/Data Engineering
• Strong SQL and data pipeline experience (ETL/ELT)
• Proficient in Python, Java, or Scala
• Experience in AWS or GCP environments
• Strong analytical and problem-solving skills

Responsibilities

• Analyze and interpret large datasets to generate actionable insights
• Manage and optimize ETL/ELT pipelines and workflows
• Monitor data platforms (e.g., Spark, Airflow, Flink, Jupyter) for performance and reliability
• Support incident analysis and data issue resolution
• Develop reports, dashboards, and data quality checks
• Collaborate with teams on AWS/GCP data environments
• Ensure data accuracy, governance, and cost efficiency

Skills

SQL

Data pipelines (ETL/ELT)

Programming (Python/Java/Scala)

Analytical thinking

Education

Bachelor’s degree in IT/CS/Data Analytics

Tools

Spark

Airflow

Flink

Jupyter

Job description

TerraBarn Inc. in Mandaluyong is seeking a Senior Data Analyst to manage and optimize data pipelines, analyze large datasets, and support cloud-based data platforms. You will work closely with data and engineering teams to ensure data accuracy and reliable performance.

The role requires 3+ years in data analytics or data engineering, strong SQL, and Python/Java/Scala proficiency, with AWS/GCP experience. On-site work, with a competitive benefits package.