Data Developer - 6 months Fixed Term Contract

*PLEASE READ ON HOW TO APPLY*

Job Title: Data Developer - 6 months Fixed Term Contract
Location: Remote | Philippines based ONLY
Salary Range: Php 190,000 per month
A MUST: Minimum of 5 years of solid experience

Data Engineer – Snowflake / Python / PySpark

About the Role
We're looking for a Data Engineer to join our data team and own the ingestion, pipelines,
and infrastructure that get raw data reliably into our warehouse and ready for use. This role
is primarily focused on building and maintaining the data pipeline layer - ingesting data from
source systems, orchestrating workflows, and ensuring data lands in Snowflake accurately,
on time, and at scale.

What You'll Do
● Design, build, and own end-to-end data pipelines that ingest data from a wide range
of source systems (databases, APIs, event streams, third-party files) into our data
warehouse
● Build and maintain reliable ingestion frameworks that handle batch and/or streaming
data at scale
● Use Python and PySpark to build scalable extraction and processing jobs, including
large-scale/distributed data processing
● Build, schedule, and monitor pipelines using an orchestration tool, including
dependency management, retries, alerting, and SLAs
● Write efficient, production-grade SQL for data transformation, validation, and
troubleshooting across the pipeline
● Maintain dbt models where needed to support standardized, tested transformations
downstream of ingestion
● Implement data quality checks, monitoring, and alerting to catch pipeline failures and
data issues before they hit downstream consumers
● Partner with Product owners, data analysts, and software engineers to understand
upstream source systems and downstream data needs
● Contribute to data infrastructure and architecture decisions (e.g., ingestion patterns,
storage layout, orchestration strategy)
● Maintain clear documentation of pipeline architecture & data lineage

What We're Looking For
● Proven experience building and maintaining production data pipelines end-to-end,
from ingestion through delivery
● 5+ years of hands-on experience working with Snowflake (or a similar cloud data
warehouse) in a production environment
● Strong proficiency in Python for building ingestion jobs, automation, and data
processing
● Experience with PySpark for distributed data processing at scale
● Hands-on experience with a workflow orchestration tool (e.g., Apache Airflow,
Dagster, Prefect, or similar) for scheduling and monitoring pipelines
● Strong SQL skills for data transformation, debugging, and validation
● Working knowledge of dbt for downstream transformation and testing
● Experience integrating with diverse data sources (relational databases, REST APIs,
event/streaming systems, flat files)
● Understanding of data pipeline reliability practices: retries, idempotency, monitoring,
and alerting
● Comfort working in a fast-paced environment with evolving priorities
● Strong communication skills and ability to work cross-functionally with analytics,
engineering, and business stakeholders

Nice to Have
● Experience with streaming/event-based ingestion (Kafka, Kinesis, Pub/Sub, or
similar)
● Experience with CI/CD for data pipelines
● Experience with version control (Git) and code review workflows
● Background in a cloud platform (AWS, GCP, or Azure)
● Experience working in an agile data team environment

*PLEASE READ ON HOW TO APPLY*

How to Apply:
To apply for this role, please submit a link to your resume and a brief Loom video (max 2 minutes) introducing yourself and highlighting your skills relevant to the role. In your video, please address the following:

• A short introduction of yourself and why you're interested in this role.
• Your current and previous experience as a Data Engineer and specific experience with Snowflake / Python / PySpark
• Key skills or qualifications that make you a strong fit for this position.

Please note: Applications without a video will not be reviewed. We look forward to welcoming a passionate developer who prioritizes clean code, performance optimization, and delivering exceptional user experiences.