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Data Engineer Python, SQL, Power BI

FPT Digital · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Quận 7, Hồ Chí Minh, Hồ Chí Minh

Overview

  • Design, build, and maintain robust data systems utilizing Delta Lake and Lakehouse architectures.
  • Apply core principles of Data Modeling, Data Warehouse, Data Lake, and Lakehouse frameworks to ensure scalable and efficient data storage and retrieval.
  • Design and implement automated, high-performance ETL/ELT pipelines to ingest, transform, and clean large-scale datasets from disparate sources.
  • Leverage Python and PySpark to develop and optimize distributed data processing jobs.
  • Establish frameworks for Data Quality, Monitoring, Logging, Retry mechanisms, and Alerting to ensure pipeline reliability and minimize downtime.
  • Proactively monitor and optimize system performance and cloud costs (Performance & Cost optimization) across the data platform, specifically within Databricks.
  • Partner closely with Data Analysts (DA), Business Analysts (BA), and Data Scientists (DS) to translate complex business requirements into production-ready data assets.
  • 4+ years of experience as an Analytics Engineer, Data Engineer, or a closely related role.
  • Expertise in SQL, including complex queries, performance optimization, and data transformation.
  • Strong background in data modeling, including dimensional modeling and analytics engineering best practices.
  • Experience in dashboard development and data visualization using BI tools such as Looker, Mode, Hex, or similar.
  • Previous experience in a fast-paced, high-growth environment with the ability to adapt and scale analytics solutions.
  • Self-starter mindset, capable of independently driving projects from concept to execution with minimal supervision.
  • Experience with dbt, including building and maintaining analytics workflows.
  • Proficiency in Python for data processing and automation.
  • Experience with Snowflake administration, performance tuning, and optimization.
  • Familiarity with Databricks and cloud-based data platforms.
  • Previous experience as an early-stage Analytics Engineer in a high-growth startup or consulting environment

Benefits

Bonus

Summary of facts from the official posting. View original ↗

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