Cloud Data Engineer

22 hours ago

Sydney, New South Wales, Australia Bebeedata Full time

Expert Data Architect
We are seeking an experienced professional to join our team in Sydney. This is a hands-on role requiring deep expertise in data engineering and solution architecture, with a strong focus on cloud technologies.
Key Responsibilities:
Client Collaboration and Requirement Gathering - Engage closely with clients to thoroughly understand their business requirements, define comprehensive data strategies, and translate complex needs into scalable, practical solutions.
Designing End-to-End Data Solutions - Deliver high-quality, end-to-end data solutions across data ingestion, processing, modelling, and analytics in the cloud to enable scalable and efficient business intelligence.
Solution Estimation and Project Scoping - Take ownership of solution estimation and sizing, ensuring accurate scoping of projects and meticulous planning of delivery efforts to align with client expectations and timelines.
Design and Implement Scalable ETL/ELT Pipelines - Develop and implement robust data pipelines and ETL/ELT frameworks utilising modern cloud-native technologies, guaranteeing data quality and reliability.
Develop Robust Data Models - Develop and optimise robust data models that underpin analytics, reporting, and business intelligence, ensuring maintainability and optimal performance.
Collaborate with Internal Teams and External Stakeholders - Collaborate with internal teams and external stakeholders (including clients' stakeholders) to ensure all solutions adhere to recognised architectural standards.
Provide Ongoing Technical Leadership - Provide ongoing technical leadership throughout the project lifecycle, encompassing design, development, testing, deployment, and post-production support.
Requirements and Qualifications:
Proven 7+ years in data engineering and solution architecture within enterprise-scale environments, specialising in cloud technologies.
Proven hands-on expertise with Azure data platform, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage and Azure SQL Database.
Demonstrated client-facing experience, effectively engaging with stakeholders to understand and address their needs.
Strong skills in solutioning and project estimation, accurately scoping and planning data engineering projects.
Expert in SQL and Python, with production-ready code for both batch and real-time use cases; experience with R, Scala, or Java is a plus.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
Software Development

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