Senior Data Engineer

About KwikCare

KwikCare Healthcare Plans make quality healthcare truly affordable and accessible for the modern Filipino by leveraging technology and operational efficiency, bringing comprehensive HMO coverage within reach for more Filipinos.

About the role

As a Data Engineer, you will design, build and run batch and incremental pipelines from MySQL service databases, Zoho CRM, Meta Ads and other SaaS sources into a central analytics warehouse. You will model clean, documented tables for deals, customers, payments, policies, affiliates and marketing leads, and own data quality through tests, freshness checks, reconciliation against source systems and alerts when numbers drift. You will protect customer PII through masking, encryption, role-based access and audit trails in line with the Philippine Data Privacy Act (RA 10173), and feed reporting and dashboards for sales, marketing, finance and affiliate performance.

Key Responsibilities

• Design, build and run batch and incremental pipelines from MySQL service databases, Zoho CRM, Meta Ads and other SaaS sources into a central analytics warehouse
• Model clean, documented tables for deals, customers, payments, policies, affiliates and marketing leads
• Own data quality: tests, freshness checks, reconciliation against source systems and alerts when numbers drift
• Protect customer PII: masking, encryption, role-based access and audit trails in line with the Philippine Data Privacy Act (RA 10173)
• Feed reporting and dashboards for sales, marketing, finance and affiliate performance
• Prepare reliable, PII-safe datasets for AI and automation, starting with the sales assistant and n8n workflows
• Work with backend engineers so new services emit data cleanly, without adding load on fragile production databases
• Write runbooks and keep pipeline, lineage and metric definitions documented

Qualifications

• Bachelors Degree in Computer Science, Information Technology, Data Science / Analytics
• 3–5 years building production data pipelines
• Strong SQL and solid MySQL knowledge (schemas, indexing, binlog replication) and a working understanding of change data capture (CDC)
• Python for ETL/ELT, APIs and scripting
• Hands-on with at least one cloud data warehouse (Redshift, Snowflake, BigQuery or similar) and working knowledge of AWS (S3, IAM, Secrets Manager)
• Experience with an orchestrator (Airflow, Dagster, Prefect or similar) and a transformation tool such as dbt
• Pulling data from REST APIs with auth, pagination and rate limits
• Git, code review and CI/CD habits
• Preferred Industry: Healthcare or Life Insurance, fintech or e-commerce data experience
• Zoho CRM or Meta Marketing API integrations
• Hands-on with CDC tools such as Debezium or AWS DMS