Senior Data Engineer | SQL, ETL, Python | AWS (Cloud Data Platforms) | Onsite

TerraBarn Inc; Mandaluyong; On-site; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

13th Month Pay

Performance Bonus

HMO Coverage

10 Sick Leave Days

21 Days PTO

Milestone Service Rewards

Job summary

OpsWerks is seeking a Senior Data Analyst to manage and optimize data pipelines, analyze large datasets, and support cloud-based data platforms in a global IT solutions setting.

You will work with data and engineering teams to ensure data accuracy, performance, and reliability across Spark, Airflow, Flink, and Jupyter environments.

Qualifications

• Bachelor’s degree in IT, Computer Science, Data Analytics, or related field.
• 3+ years experience in Data Analytics/Data Engineering.
• Strong SQL and data pipeline experience (ETL/ELT).
• Experience with Spark, Airflow, Flink, or Jupyter.
• 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 Analytics

Python/Java/Scala

AWS/GCP

Analytical skills

Education

Bachelor's degree in IT/CS/Data Analytics

Tools

Spark

Airflow

Flink

Jupyter

Kubernetes

Docker

CI/CD

Terraform

Grafana

Datadog

Job description

About the Company:
OpsWerks is a global IT solutions company focused on DevOps, cloud operations, and digital infrastructure services. Trusted by enterprise clients for over a decade, OpsWerks helps businesses modernize systems, improve reliability, and scale efficiently. With offices in the Philippines and the U.S., the company offers strong career growth, technical training, and a people-first culture
We are looking for a Senior Data Analyst to manage and optimize data pipelines, analyze large datasets, and support cloud-based data platforms. This role involves working closely with data and engineering teams to ensure data accuracy, performance, and reliability.

Key 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

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)

• Experience with at least one: Spark, Airflow, Flink, or Jupyter

• Proficient in Python, Java, or Scala

• Experience in AWS or GCP environments

• Strong analytical and problem-solving skills

Nice to Have:

• Kubernetes or Docker experience

• Knowledge of data visualization tools

Familiarity with CI/CD, Terraform, or monitoring tools (Grafana, Datadog)
Benefits:

• Mandatory Government Benefits

• 13th Month Pay

• Performance Bonus (based on company revenue & performance)

• 10 Days Sick Leave

• 21 Days PTO

• 5 Days Bereavement Leave

• HMO Coverage (Intellicare) – Day 1 (Min. ₱250K, with dependent coverage based on level)

• Milestone Service Rewards (Cash) or Additional PTO Credits