Data Engineer
Summary
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Overview
We\'re Hiring: Cloud Data Engineer
Location: Metro Manila-based applicants only (Hybrid setup – 2x/week onsite at UP Technohub, QC)
Shift:
- 3:00 PM – 12:00 MN (Onsite)
- 4:00 PM – 1:00 AM (WFH)
- 1st month: full night shift to sync with US client
- Follows US holiday schedule
Are you a seasoned Data Engineer with a passion for solving cloud-based data challenges? Want to work on global projects with a collaborative and tech-savvy team?
If you\'re based in Metro Manila and ready to level up your career—we want to hear from you.
You\'ll help design and build scalable, cloud-native data solutions using Python and AWS. You\'ll also get to work closely with a multicultural team and a US-based client.
Must-Have Skills
- 5+ years of data engineering experience (integration, transformation, processing)
- Strong in Python, especially for APIs and data libraries
- Proficient in SQL and big data formats (Apache Parquet, ORC)
- Solid data modeling: Relational & NoSQL (bonus: dimensional)
- Hands-on with AWS services: Glue, IAM, Lambda, DynamoDB, Step Functions, S3
- Knowledge of IaC: CloudFormation or CDK
- Experience orchestrating pipelines (Lambda, EventBridge, Step Functions)
Nice to Haves
- Tools: Athena, Kinesis, Kafka, Spark, MWAA, Airflow
- Client-facing or team leadership experience
What We Look For
- Independent but team-oriented
- Detail-focused and quality-driven
- Strong analytical and problem-solving mindset
- Excellent communication skills
- Organized and proactive