Additional Information:

• Must be willing to work on a hybrid setup, with onsite reporting to UP Ayala Technohub, Quezon City.
• 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.

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:

o Relational modeling

o Dimensional modeling

o NoSQL modeling

Working knowledge of IaC on AWS (CloudFormation or CDK)

Working knowledge of AWS Services:

o Required: Glue, IAM, Lambda, DynamoDb, Step Functions, S3,

CloudFormation or CDK

o Nice-to-have: Athena, Kinesis, MSK, MWAA, SQS

Experience with orchestration of data flows/pipelines: Apache Airflow or Dagster

Nice-to-have:

o Experience with data streaming (Kinesis, Kafka)

o Experience with Apache Spark

o 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.