Data Engineer
Core
Design, build, and maintain scalable ETL/ELT data pipelines and central data storage solutions to support analytics, reporting, and operational processes across Asia-Pacific and North America.
Role type
Senior Data Engineer
Builds
Scalable ETL/ELT pipelines, data warehouses, data lakes, and advanced analytical solutions including machine learning models and predictive analytics.
Domain
Data Engineering / Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, ETL/ELT tools (Informatica, Databricks, DBT), cloud platforms (AWS, Azure, GCP), data orchestration (Airflow, Boomi), Python/Scala, data warehousing concepts, data modeling, version control (Git), data governance.
Preferred skills
Incorta, Tableau, Power BI, MS Office.
Responsibilities
Design and deploy ETL/ELT pipelines in production; develop and maintain data warehouses and lakes; integrate data from internal and external sources; monitor and optimize pipeline performance; ensure data quality and security; support data migrations and modernizations; document technical processes and design decisions.
Seniority
Senior, hands-on IC
