Senior Data Engineer

2 weeks ago

Taipei Taipei City, Taiwan Unicorn Fintech Full time $90,000 - $120,000 per year

About the Role

We're seeking a Senior Finance Data Engineer to lead our critical journey of migrating on-premise financial data to AWS cloud environments and spearhead the automation of critical financial reporting.You'll join a dynamic and agile data team and collaborate closely with our internal IT team, data analysts, and finance stakeholders to deliver robust and scalable data solutions.

What You'll Do:

  • Lead AWS Cloud Migration: Drive the strategic planning and execution of migrating core financial data from on-premise VMs to AWS cloud.
  • Build & Optimize Data Pipelines: Design, develop, and maintain high-performance ETL/ELT pipelines for automated financial reporting and analytical dashboards.
  • Data Architecture Enhancement: Continuously evaluate and implement advanced data engineering practices and technologies (e.g., DataOps, FinOps) to optimize existing data architectures.
  • Cross-functional Collaboration: Partner with finance teams to understand business requirements, translating them into technical solutions and clearly communicating complex concepts to non-technical stakeholders.
  • End-to-End Project Ownership: Take ownership of data projects from design to deployment, including Datalake management, data collection, cleansing, and storage.

What We're Looking For:

  • Expertise in SQL for large-scale relational and distributed databases, including CRUD operations, performance tuning, and data cleansing (ETL/ELT).
  • Strong Python development skills with proficiency in data engineering libraries (e.g., pandas, numpy, pyspark).
  • Demonstrable experience with AWS cloud services (e.g., S3, EC2, Lambda, Glue, Redshift, Athena) and Databricks.
  • Proficiency in designing and implementing data pipelines using orchestration tools like Dagster or Airflow.
  • 5+ years of hands-on experience as a Data Engineer, with a proven track record of leading data projects independently.
  • Excellent analytical and problem-solving skills, with the ability to understand complex business logic and communicate effectively across teams.

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