$ cat jobs/senior-data-engineer-consultant-sia-b80cc636fb22.json
Senior Data Engineer Consultant
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. To support our growth, we are recruiting Senior Consultants specializing in Data Engineering solutions. You will lead client engagements, co-design data engineering solutions through close collaboration with clients, manage stakeholders, and ensure impactful project delivery from strategy through execution. Responsibilities: Data Architecture & Pipeline Design: Building robust, scalable data pipelines and architectures to enable efficient ingestion, processing, and delivery of large volumes of structured and unstructured data. Cloud & Distributed Systems: Designing and implementing data solutions leveraging modern cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Kafka). Database Design & Data Modeling: Developing logical and physical data models and optimizing database solutions for various data types and workloads, including relational, NoSQL, time-series, and graph databases. Data Integration & Loading Patterns: Implementing best practices for batch, streaming, and real-time data integration, adapting to structured, semi-structured, and unstructured data sources. CI/CD & DataOps Practices: Enabling continuous integration and deployment of data services and infrastructure, using modern DevOps tooling to ensure reliability, versioning, and automation in data workflows. Within Sia itself you w
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