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Sr. Data Engineer

6-8 Years
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  • Posted 23 hours ago
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Job Description

Work Setup:

  • Hybrid (3x onsite per week in Makati)
  • Dayshift
  • Fixed weekends off

Qualifications:

Required Qualifications:

  • 6–8 years of experience in Data Engineering or related roles (3+ years may be considered)
  • Strong hands-on expertise with dbt (Data Build Tool) for data transformation, testing, and modeling
  • Experience orchestrating and managing workflows using Argo Workflows in Kubernetes environments
  • Strong hands-on experience with Kubernetes, including pod execution, resource management, monitoring, and debugging
  • Experience designing, building, and maintaining ELT/ETL data pipelines in cloud-native environments
  • Strong proficiency in Python and/or Shell scripting for automation and data engineering workflows
  • Advanced SQL skills for data transformation, optimization, validation, and data modeling
  • Hands-on experience with cloud platforms and storage technologies including AWS, S3, Redshift, Snowflake, or similar technologies
  • Familiarity with CI/CD pipelines, Git-based version control, and infrastructure-as-code concepts
  • Strong understanding of data warehousing principles, dimensional modeling, and ELT architectures
  • Experience troubleshooting data pipeline failures, performance bottlenecks, workflow issues, and infrastructure-related issues
  • Strong analytical, problem-solving, and communication skills
  • Ability to collaborate effectively with cross-functional stakeholders, including analytics, business, and engineering teams
  • Experience working within established engineering standards, coding guidelines, and data governance practices

Preferred / Nice-to-Have Qualifications:

  • Experience running dbt on Kubernetes using Argo Workflows or similar orchestration platforms
  • Exposure to modern cloud-native observability tools (logging, monitoring, alerting)
  • Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift
  • Knowledge of data governance, metadata management, access control, and compliance practices
  • Familiarity with data visualization/reporting tools such as Power BI, Tableau, or Looker
  • Cloud certifications in AWS, GCP, or Kubernetes
  • Experience supporting analytics, reporting, or downstream data consumer requirements

Job Responsibilities:

  • Design, develop, and maintain scalable ELT/ETL pipelines using dbt for data transformation and modeling
  • Build and operate cloud-native data pipelines running in Kubernetes environments, ensuring reliability, scalability, and observability
  • Orchestrate and manage data workflows using Argo Workflows in Kubernetes-based platforms
  • Collaborate with analytics, business, and engineering teams to translate requirements into well-modeled datasets and scalable solutions
  • Implement data quality checks, testing, monitoring, and validation within dbt and orchestration workflows
  • Optimize performance of data transformations, SQL queries, workflows, and pipeline executions
  • Troubleshoot and resolve pipeline failures, infrastructure issues, performance bottlenecks, and orchestration errors
  • Support CI/CD practices for data pipelines and dbt deployments using Git-based workflows and existing templates
  • Participate in code reviews, technical documentation, and knowledge-sharing activities across the team
  • Ensure adherence to data governance, compliance, security, and engineering best practices
  • Support monitoring, logging, and observability efforts to improve platform stability and reliability
  • Contribute to continuous improvements in data architecture, automation, and engineering standards

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About Company

Job ID: 148287263

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