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