Data Engineer
5 days ago
Things to know before applying:
- you must have your own work equipment
- you are able to work remotely
- you can work full-time for this role
- experience working with clients/companies outside PH is an advantage
- only candidates who meet the requirements will be contacted
Role Summary
The
Data Engineer
will be part of the
Data Analytics team
, responsible for designing, building, and maintaining scalable data pipelines and infrastructure within a
Microsoft Azure environment
. The role involves integrating data from multiple sources, ensuring data integrity, and supporting the organization's end-to-end data integration and analytics initiatives.
Key Responsibilities
- Design, build, and maintain
data pipelines
to ingest, transform, and integrate structured and unstructured data from multiple systems.
- Develop and optimize
ETL/ELT processes
using Azure tools such as
Data Factory
,
Synapse
, or
Microsoft Fabric (Data Warehouse, Dataflows, Lakehouse)
.
- Implement and maintain
data integrity
,
quality controls
, and
governance frameworks
to ensure reliable data delivery.
- Collaborate with
cross-functional teams
to gather requirements, translate them into technical solutions, and deliver actionable insights.
- Develop and maintain
Power BI reports and dashboards
, including
data modelling
and
DAX calculations
.
- Ensure timely project delivery through
agile sprint planning
, effective communication, and proactive issue resolution.
- Continuously evaluate and implement new data technologies to improve system performance and scalability.
Qualifications
- Bachelor's degree in
Computer Science
,
Information Technology
, or a related field.
- Strong experience with
Microsoft Azure cloud
ecosystem — particularly
Azure Data Factory
,
Azure Synapse
, or
Microsoft Fabric
.
- Solid
SQL
skills and experience with database design, optimization, and management.
- Hands-on experience with
ETL tools
(e.g., Talend, Informatica, or Mulesoft).
- Proficiency in at least one scripting or programming language (
Python
,
R
,
Java
, or
Unix scripting
).
- Proven experience with
Power BI
, including
data modelling
and
DAX
.
- Experience delivering
end-to-end data integration and analytics solutions
.
- Data warehousing and
data lake
experience is highly desirable.
- Big Data
or
RPA
experience is a plus.
Expectations:
- Demonstrate business acumen and the ability to work independently with minimal supervision.
- Own project responsibilities and deliverables, ensuring transparency in progress and blockers.
- Adapt quickly to feedback and implement improvements effectively.
Hiring Process:
- Phone screening
- Behavioral interview
- Client interview
About Adaca:
Adaca is at the forefront of bridging software development solutions by connecting Australian mid-tier companies with top-tier talents in the Philippines. Our unique approach is rooted in creating an employee-centric experience that fosters a simple, low-pressure environment for our developers. This philosophy not only enhances productivity but also delivers unparalleled value to our clients, fostering a cycle of growth and talent attraction.
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