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

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Summary

Senior data engineer/analyst at an IT services firm who builds and optimizes ETL/ELT pipelines, monitors cloud data platforms (Spark, Airflow, Flink, Jupyter), and develops reports, dashboards, and data quality checks in AWS/GCP environments. Core stack: SQL, Python (or Java/Scala), and cloud data tooling.

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

See also

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