Data Engineeroutsourced
Workplace: MetroManila, Quezon, Manila
Salary: Agreement
Work form: Full time
Posting Date: 07/01/2026
Deadline: 21/11/2022
Company Description
Outsourced is a leading Business Process Outsourcing (BPO) in the Philippines that provides dedicated full time remote staff and offshore staffing services to international companies of all sizes. We specialize in providing offshore staff of the highest quality who will continue to exceed your expectations ongoing. We provide both remote home-based and state-of-the-art office-based offshore staffing options. We have spared no expense to ensure your offshore staff are comfortable and able to perform their work effectively and efficiently
Job Description
Position Outline:
The role will focus on collaborating with the business to develop data models,
process flows, datasets and views that are efficient and meaningful representations
of data, optimizing the data integration platform and ensuring performance, data
availability, accessibility and integrity. You will also be heavily involved in data
integration, data consolidation mechanisms and other artefacts necessary to
implement best practice ETL type integrations into a data warehouse and data lakes.
The role will also develop SQL stored procedures and functions for various in-house
applications.
As the Data Engineer, you will provide technical expertise across data platforms to
support initiative delivery and new technology implementations. You will oversee the
management, optimizing, and monitoring of data retrieval, storage and distribution.
You will play a key role in supporting the data infrastructure & warehousing.
Main Duties/ Responsibilities
Data Engineer responsibilities include:
Assist in providing feedback as to how data should be captured in systems to
ensure the best reporting outcomes are possible
Responsible for advanced SQL queries to display provide access to data as
needed
Combine raw information from different sources and data preparation in SQL
or tools like QuickSight
Design and implement efficient data flow solutions between different systems
Create a data catalogue to help organize and expose data to analysts
Collaborate with Data Analysts on data requirements
Producing advanced data visualization using data storytelling skills
Qualifications
The candidate for this position must also have had at least five years of working
experience in a data-focused engineering role; they will also have had experience
extracting data and creating queries, reports, and dashboards for decision-makers.
Skills & Experiences:
Tertiary qualifications in Computer or Data Science or equivalent
Proficient in SQL (developing complex SQL outputs taking performance into
account)
Data Warehousing experience, including multi-dimensional and tabular
models that integrate with a range of systems
Knowledge of AWS environment (including QuickSight)
Strong ETL experience
Good understanding of agile methodologies.
Excellent communication (written and oral) and team-work skills.
Domain expertise in education or educational software is desirable.
Additional Information
outsourced
Outsourced is a leading Business Process Outsourcing (BPO) in the Philippines that provides dedicated full time remote staff and offshore staffing services to international companies of all sizes. We specialize in providing offshore staff of the highest quality who will continue to exceed your expectations ongoing. We provide both remote home-based and state-of-the-art office-based offshore staffing options. We have spared no expense to ensure your offshore staff are comfortable and able to perform their work effectively and efficiently
Job Description
Position Outline:
The role will focus on collaborating with the business to develop data models,
process flows, datasets and views that are efficient and meaningful representations
of data, optimizing the data integration platform and ensuring performance, data
availability, accessibility and integrity. You will also be heavily involved in data
integration, data consolidation mechanisms and other artefacts necessary to
implement best practice ETL type integrations into a data warehouse and data lakes.
The role will also develop SQL stored procedures and functions for various in-house
applications.
As the Data Engineer, you will provide technical expertise across data platforms to
support initiative delivery and new technology implementations. You will oversee the
management, optimizing, and monitoring of data retrieval, storage and distribution.
You will play a key role in supporting the data infrastructure & warehousing.
Main Duties/ Responsibilities
Data Engineer responsibilities include:
Assist in providing feedback as to how data should be captured in systems to
ensure the best reporting outcomes are possible
Responsible for advanced SQL queries to display provide access to data as
needed
Combine raw information from different sources and data preparation in SQL
or tools like QuickSight
Design and implement efficient data flow solutions between different systems
Create a data catalogue to help organize and expose data to analysts
Collaborate with Data Analysts on data requirements
Producing advanced data visualization using data storytelling skills
Qualifications
The candidate for this position must also have had at least five years of working
experience in a data-focused engineering role; they will also have had experience
extracting data and creating queries, reports, and dashboards for decision-makers.
Skills & Experiences:
Tertiary qualifications in Computer or Data Science or equivalent
Proficient in SQL (developing complex SQL outputs taking performance into
account)
Data Warehousing experience, including multi-dimensional and tabular
models that integrate with a range of systems
Knowledge of AWS environment (including QuickSight)
Strong ETL experience
Good understanding of agile methodologies.
Excellent communication (written and oral) and team-work skills.
Domain expertise in education or educational software is desirable.
Additional Information
outsourced
Other Info
Quezon City, Metro Manila
Permanent
Full-time
Permanent
Full-time
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