Cloud Data Engineer

• Position Title: Cloud Data Engineer
• Work Arrangements: Hybrid (UP Technohub, Quezon City Philippines)
• Work Schedule: Initially on a night shift for the first 1–2 months, transitioning to a 3:00 PM to 12:00 midnight schedule thereafter

Job Summary:

We are seeking a highly skilled Cloud Data Engineer with deep expertise in cloud-based architectures, open-source technologies, and large-scale data engineering. You will be responsible for building, optimizing, and maintaining data pipelines and integrations using AWS services and Python, ensuring high-quality, reliable, and scalable data solutions that support data-driven decision-making.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.
• Implement and manage big data storage formats such as Apache Parquet and ORC.
• Write high-quality Python code for data processing and API integration with a focus on test-driven development.
• Develop and optimize SQL queries for various analytical and operational needs.
• Work with various data modeling techniques: relational, dimensional, and NoSQL.
• Implement infrastructure as code (IaC) using AWS CloudFormation or CDK.
• Leverage AWS services such as Glue, Lambda, IAM, DynamoDB, S3, and Step Functions for building data solutions.
• Use orchestration tools like Apache Airflow or Dagster to manage workflows.
• Collaborate with cross-functional and multicultural teams and, where applicable, engage with clients.

• At least 5 years in a data engineering role, focusing on data integration, processing, and transformation.
• Strong programming skills in Python, with emphasis on API integration and data libraries, following test-driven development.
• Proficiency with big data storage formats (Apache Parquet, ORC) including optimization strategies.
• Proficiency with SQL for analytical and operational queries.
• Experience with data modeling:
  • Relational modeling (required)
  • Dimensional modeling (nice-to-have)
  • NoSQL modeling (required)

• Infrastructure as Code (IaC): Working knowledge of AWS CloudFormation or CDK.
• AWS Services:
  • Required: Glue, IAM, Lambda, DynamoDB, Step Functions, S3, CloudFormation or CDK.
  • Nice-to-have: Athena, Kinesis, MSK, MWAA, SQS.
• Data Orchestration: Hands-on with EventBridge, Step Functions, Lambda; experience with Apache Airflow (nice-to-have).
• Data Streaming: Experience with Kinesis or Kafka (nice-to-have).
• Big Data Processing: Exposure to Apache Spark (nice-to-have).
• Client-facing experience, multicultural collaboration, and technical leadership (nice-to-have).

• Ability to work both independently and collaboratively within a team.
• High attention to detail and quality.
• Strong critical and analytical thinking.
• Effective time management and organizational skills.
• Customer- and end-client–oriented mindset.
• Excellent written and spoken communication skills.

Application Process:
If you meet the qualifications and are passionate about driving impactful cloud solutions, we encourage you to apply. Please note that only qualified candidates will be contacted.
JWay Group is proud to be an Equal Opportunity Employer. We value diversity and are committed to fostering an inclusive and supportive workplace for all.