cloud data engineer

Job Overview:

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 an 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 October 1, 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.

Job Type: Fixed term

Contract length: 6 months

Pay: Php60, Php70,000.00 per month

Benefits:

• Company Christmas gift
• Company events
• Promotion to permanent employee

Application Question(s):

• Are you willing to accept a 6-month project contract?
• Are you willing to observe U.S. holidays instead of Philippine holidays?
• We must fill this position urgently. Can you start immediately?
• Are you willing to work on a hybrid setup, with onsite reporting to UP Ayala Technohub, Quezon City, 3-4x a week?

*

Are you willing to work on a graveyard shift and mid-shift rotation?

• How many years of work experience do you have with Python (Programming Language)?

Experience:

• data engineering: 3 years (Preferred)

Work Location: In person