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Data Engineering Senior Analyst

Salary undisclosed

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The Work:

The Data Engineer helps manage data sources and environments, utilizing large data sets and maintaining their integrity to create models and apps that deliver insights to the organization.

You will:

  • Build and manage data models that bring together data from different sources.
  • Help consolidate and cleanse data for use by the modeling and development teams.
  • Structure data for use in analytics applications.
  • Understand SQL Server scripts/stored procedures and translate them to GCP Big Query, taking advantage of this cloud technology.

Skills and Qualifications:

  • A bachelor’s degree or equivalent
  • 3 or more years of experience Data Engineering.
  • A minimum of 1 year familiarity and hands-on experience with various SQL objects like stored procedures, functions, views, etc.
  • A minimum of 1 year experience building data flow components and processing systems to extract, transform, load, and integrate data from various sources
  • A minimum 1 yr experience with Azure Dev Ops and Git

Good to have:

  • Experience with data warehousing environments, including understanding of FACT and DIM tables, star and snowflake schemas.
  • Experience in Cloud platform Cloud Platform (e.g., GCP, AWS or Azure)
  • A minimum of 1-year hands-on experience in advanced Excel topics such as cube functions, VBA Automation, Power Pivot, etc.

Work set-up

  • Permanent role
  • Hybrid set-up
  • Location: Mandaluyong, Cubao, Eastwood
  • Shifting depends on the client
  • Competitive salary and benefits

The Work:

The Data Engineer helps manage data sources and environments, utilizing large data sets and maintaining their integrity to create models and apps that deliver insights to the organization.

You will:

  • Build and manage data models that bring together data from different sources.
  • Help consolidate and cleanse data for use by the modeling and development teams.
  • Structure data for use in analytics applications.
  • Understand SQL Server scripts/stored procedures and translate them to GCP Big Query, taking advantage of this cloud technology.

Skills and Qualifications:

  • A bachelor’s degree or equivalent
  • 3 or more years of experience Data Engineering.
  • A minimum of 1 year familiarity and hands-on experience with various SQL objects like stored procedures, functions, views, etc.
  • A minimum of 1 year experience building data flow components and processing systems to extract, transform, load, and integrate data from various sources
  • A minimum 1 yr experience with Azure Dev Ops and Git

Good to have:

  • Experience with data warehousing environments, including understanding of FACT and DIM tables, star and snowflake schemas.
  • Experience in Cloud platform Cloud Platform (e.g., GCP, AWS or Azure)
  • A minimum of 1-year hands-on experience in advanced Excel topics such as cube functions, VBA Automation, Power Pivot, etc.

Work set-up

  • Permanent role
  • Hybrid set-up
  • Location: Mandaluyong, Cubao, Eastwood
  • Shifting depends on the client
  • Competitive salary and benefits