Job Title & Qualification : Cloud Data Engineer; 3 years of solid experience as a Data Engineer with expertise in cloud technology 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 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. 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 June 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.Salary Range : Php 60, 000 to Php 80, 000 (depending on experience) Nature of Engagement : Project-based for 6 months with a possibility of extension Work Schedule : Hybrid (3 to 4 days a week onsite); 1-2 days work from home; Work Location : UP Ayala Technopark, QC Start-Date : June 2, 2025 Others : US Holidays will be observed instead of PH holidays
Cloud Data Engineer • Quezon City, National Capital Region, PH