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

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Onsite

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

TerraBarn Inc

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

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonData VisualizationJavaDatadogGrafanaData AnalysisScalaAWSKubernetesApache AirflowTerraform

25 days ago

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Important information


Contract type:

Permanent

Salary:

₱1,200,000 – ₱1,560,000 / year

Location:

Mandaluyong City, Metro Manila, Philippines

Work mode:

Onsite

Published on:

24 September 2026

What they need


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

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