Cloud Data Engineer

2 weeks ago

Makati, Philippines Dempsey Resource Management Full time

Engagement is project-based for 6 months, with a possibility of extension. Hybrid setup with onsite reporting to UP Ayala Technohub, Quezon City. Work schedule is on a mid-shift and graveyard rotation. The role observes U.S. holidays instead of Philippine holidays. 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 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. #J-18808-Ljbffr

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