Emerson

Data Engineer

Emerson

full-time

Posted on:

Location Type: Hybrid

Location: Mandaluyong • 🇵🇭 Philippines

Visit company website
AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformRDBMSSQL

About the role

  • Design, build, and maintain Data Pipelines; develop, construct, test, and maintain robust data architectures, data warehouse, including databases and large-scale processing systems that power our analytics and business intelligence initiatives.
  • Implement and manage Extract, Transform, and Load (ETL) or Extract, Load, and Transform (ELT) processes for data ingestion from various data sources.
  • Ensure data quality, security, and compliance by implementing best practices in data governance.
  • Continuously monitor and optimize our data pipelines and infrastructure for performance and efficiency.
  • Use BI services to support strategic and self-service models and reports.
  • Practice internal standards for coding, project tracking, and documentation.
  • Partner with data analysts to understand their data needs and provide them with clean, accessible data.
  • Work closely with product owners, data architects, and software engineers to ensure our data infrastructure is reliable and efficient.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or related courses.
  • Minimum 5 years of relevant experience in Data Engineering, Data Warehousing, Database Management.
  • Solid understanding of data warehousing concepts and experience with data warehouse solutions (e.g., Redshift, BigQuery, Snowflake).
  • Extensive experience connecting to various data sources and structures such as RDBMS, Data Lake, SQL Database, Azure, or any Cloud Infrastructure.
  • Hands-on experience with at least one major cloud platform (e.g., AWS, Azure, GCP).
Benefits
  • Competitive benefits plans
  • A variety of medical insurance plans
  • Employee Assistance Program
  • Employee resource groups
  • Recognition programs
  • Flexible time off plans
  • Paid parental leave (maternal and paternal)
  • Vacation
  • Holiday leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Data PipelinesETLELTData ArchitectureData WarehousingDatabase ManagementSQLData GovernanceData QualityCloud Infrastructure
Soft skills
CollaborationCommunicationProblem SolvingProject TrackingDocumentation
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Information Technology