cloud data engineer
1 day ago
The
Cloud Data Engineer
will build scalable, cloud-native data pipelines. The ideal candidate must have a strong foundation in Python and AWS technologies.
The role follows a
hybrid work arrangement
, requiring regular onsite work at
UP Ayala Technohub in Quezon City
. Candidates must be
willing to report onsite
, work on
mid-shift and graveyard schedules
, and
observe U.S. holidays instead of Philippine holidays
.
Key Responsibilities:
- Design, build, and maintain cloud-based data pipelines and workflows that support analytics and operational systems.
- Integrate data from various sources using APIs and cloud services.
- Develop clean, efficient, and test-driven code in Python for data ingestion and processing.
- Optimize data storage and retrieval using big data formats like Apache Parquet and ORC.
- Implement robust data models, including relational, dimensional, and NoSQL models.
- Collaborate with cross-functional teams to gather and refine requirements and deliver high-quality solutions.
- Deploy infrastructure using Infrastructure as Code (IaC) tools such as AWS CloudFormation or CDK.
- Monitor and orchestrate workflows using Apache Airflow or Dagster.
- Follow best practices in data governance, quality, and security.
Core Expertise:
- Experience:
At least
3 years
in a data engineering role working on data integration, processing, and transformation use cases with open-source languages (i.e. Python) and cloud technologies. - Strong programming skills in Python
specifically for API integration and data libraries, with emphasis on quality and test-driven development. - Demonstrated proficiency with big data storage formats
(Apache Parquet, ORC) and practical knowledge of pitfalls and optimization strategies. - Demonstrated proficiency with SQL
- Experience with data modeling:
- Relational modeling
- Dimensional modeling
- NoSQL modeling
- Working knowledge of IaC on AWS
(CloudFormation or CDK) - Working knowledge of AWS Services:
- Required:
Glue, IAM, Lambda, DynamoDb, Step Functions, S3, CloudFormation or CDK - Nice-to-have:
Athena, Kinesis, MSK, MWAA, SQS - Experience with orchestration of data flows/pipelines:
Apache Airflow or Dagster - Nice-to-have:
- Experience with data streaming (Kinesis, Kafka)
- Experience with Apache Spark
- Client-facing experience, multi-cultural team experience, technical leadership, team leadership
Key Competencies & Abilities:
- Ability to work
independently
and collaboratively in a team environment. - High level of
attention to detail
and commitment to delivering
quality
work. - Strong
analytical
and
critical thinking
skills. - Effective
time management
and
organizational
skills. - Strong
customer focus
and the ability to communicate technical concepts clearly to stakeholders. - Excellent
written and verbal communication
skills.
Additional Information:
- Must be
willing to work on a hybrid setup
, with onsite reporting to
UP Ayala Technohub, Quezon City
. - Must be
available to start by November 16, 2025
. - Engagement is
project-based for 6 months
, with a
possibility of extension
. - Work schedule is on a
mid-shift and graveyard
rotation. - The role observes
U.S. holidays instead of Philippine holidays
.
-
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