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Mô Tả Công Việc
Company Overview:Join a boutique Data, Analytics, and AI consulting firm with offices in Sydney and Hanoi. We specialise in delivering tailored, high-quality data solutions across sectors such as manufacturing, software, wholesale, and retail. Leveraging Azure’s suite of services, we help clients harness the power of data to drive strategic decision-making and business transformation.Role Overview:We’re looking for a Data Engineer to support our clients Microsoft Fabric platform. This is a hands-on role focused on building reliable, production-grade data pipelines and curated datasets. While there may be some ad hoc work, the core of the role is structured, scalable data engineering not data science.You’ll work with Dataflows, Pipelines, Notebooks (for ETL, not ML), and Lakehouses to deliver trusted data to analysts and business users.We also welcome programmers with strong SQL and Python skills who are looking to transition into data-focused roles, especially considering the growing demand for data infrastructure alongside AI. Experience with data integration, API ingestion, or working with Apache Spark or Pandas is highly valued.Key Responsibilities:• Build and maintain data pipelines using Microsoft Fabric (Pipelines, Dataflows, Lakehouse)• Write efficient SQL for transformations, aggregation, and data quality checks• Use Python in notebooks for ETL workflows using Pandas or Spark• Design datasets across Bronze, Silver, and Gold layers following medallion architecture• Implement data lineage, monitoring, and validation• Handle some ad hoc data requests while focusing on reusable, maintainable solutions• Apply basic governance practices (e.g. RLS, access controls, metadata tagging)
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Yêu Cầu Công Việc
Qualifications:Candidates must be able to perform the responsibilities outlined in this role. The following is a guide to the type of experience we’re looking for — real-world, hands-on experience matters more than formal credentials alone.You should meet one of the following:• A Bachelor’s degree in Computer Science, IT, or Software Engineering with at least 2 years of relevant experienceOR• 3+ years of professional experience in data engineering, backend development, or SQL-heavy rolesOR• 2+ years of hands-on work with Microsoft Fabric, Azure Synapse, Azure Data Factory, or DatabricksTechnical Requirements:• Strong in SQL and/or Python for building scalable data pipelines• Experience with Microsoft Fabric, Synapse, ADF, or Databricks • Knowledge of Delta Lake, parquet formats, and other standard formats.• Understanding of star schema, fact/dimension modelling, and medallion architecture• Comfortable using Git and CI/CD tools for data workflows• Bonus: Familiar with Power BI, DAX, Purview, or Dynamics 365Digital Intellect Offers You:• Challenging Opportunities: Projects that push you beyond your comfort zone, promoting professional growth.• Skill Development & Certifications: Support to enhance your technical expertise and earn certifications.• Diverse Project Exposure: A variety of projects that expand your commercial and business acumen across multiple industries.• Career Growth: An environment designed for continuous learning and development, to become a master data engineer.• Mentorship & Guidance: Benefit from working closely with experienced data leaders who support your career journey.Benefits:• Additional leave days offered.• Annual Tet Bonus.• Company-sponsored professional certification and training.• All work equipment suppliedDigital Intellect CultureAt our company, we operate like a high-performance sports team. We believe in fostering a results-driven, dynamic environment where every individual is expected to perform at their best, collaborate effectively, and push boundaries to achieve excellence. Just like an elite team, we celebrate individual strengths while working towards a common goal. Success is earned through merit, accountability, and continuous improvement, and we thrive on the challenge of delivering high value to our clients. If you're ready to be part of a driven, focused, and high-performing team, you'll find a home at Digital Intellect.
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Full-time
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