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Distributed Systems Engineer

vor 1 Woche


Stäfa, Zürich, Schweiz Dun & Bradstreet Vollzeit
Required Skills and Qualifications

To succeed in this role, you will need:A strong track record of building best-in-class cloud data platforms and excellent consulting skills.12+ years of experience in a customer-facing technical role, with a working experience in distributed systems and massively parallel processing technologies.Familiarity with data strategies and methodologies, such as Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, and Enterprise Architecture.Strong understanding of data organization and modeling concepts, including Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modeling, and 3NF database normalization.Experience with infrastructure concepts, such as Cloud Hyperscalers fundamentals of IaaS, PaaS, Networking, Security, Encryption, Identity and Access Management, and Disaster Recovery Planning.Proficiency in data engineering concepts and frameworks, including batch processing, stream processing, replication, SQL, DBT, Talend, Informatica, Python, Snowpark, PySpark, DataFrames, storage formats Parquet, Avro, Apache Iceberg, Delta Lake, Orchestration, and DevOps.Familiarity with business intelligence and analytics solutions, such as Tableau, PowerBI, MicroStrategy, Thoughtspot, SAS, Streamlit, time series analysis, Advanced SQL, and statistical analysis linear regression, variance analysis, modeling, and forecasting.Broad knowledge of AI/ML fundamental concepts, including classification, regression, clustering, dimensionality reduction, Natural Language Processing, and Language Models.