As our Data Analytics Engineer, you will play a pivotal role in designing and implementing our analytics infrastructure, ensuring that data is reliable, accessible, and actionable. Your expertise will directly influence critical business decisions and shape how FPT Digital leverages data to drive innovation and growth.
Responsibilities
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Data Architecture & Modeling:
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Design, build, and maintain robust data systems utilizing Delta Lake and Lakehouse architectures.
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Apply core principles of Data Modeling, Data Warehouse, Data Lake, and Lakehouse frameworks to ensure scalable and efficient data storage and retrieval.
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Pipeline Development (ETL/ELT):
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Design and implement automated, high-performance ETL/ELT pipelines to ingest, transform, and clean large-scale datasets from disparate sources.
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Leverage Python and PySpark to develop and optimize distributed data processing jobs.
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Data Operations & Platform Optimization:
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Establish frameworks for Data Quality, Monitoring, Logging, Retry mechanisms, and Alerting to ensure pipeline reliability and minimize downtime.
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Proactively monitor and optimize system performance and cloud costs (Performance & Cost optimization) across the data platform, specifically within Databricks.
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Cross-Functional Collaboration:
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Partner closely with Data Analysts (DA), Business Analysts (BA), and Data Scientists (DS) to translate complex business requirements into production-ready data assets.
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Qualifications & Requirements
- Experience: 5+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
- Tech Stack: Proficient in Databricks, Delta Lake, Lakehouse architecture, PySpark, and Advanced SQL (query optimization/big data processing).
- Data Expertise: Strong foundation in Dimensional Modeling, Data Warehouse/Lake; hands-on experience designing ETL/ELT pipelines and using BI tools (Looker, Mode, Hex, etc.).
- DataOps: Proven experience in Data Quality, Monitoring, Alerting, and Cost/Performance optimization.
- Mindset: Proactive, capable of driving end-to-end projects with minimal supervision; strong collaboration with DA/BA/DS to deliver functional Data Assets
- Opportunity to work with leading experts in digital transformation and AI.
- Exposure to cutting-edge technology and innovative projects across industries.
- Collaborative and dynamic work environment with opportunities for career growth.
- Competitive salary and performance-based incentives.
- Access to ongoing learning and development programs.
