Data Engineer

Vor 5 Tagen

Frankfurt Niederrad, Hessen, Deutschland Axiom Software Solutions Limited Vollzeit 80.000 € - 120.000 € pro Jahr

Job Role: Data Engineer

Location: Frankfurt Germany (Remote with Occasional travel to Frankfurt)

Job Type: Permanent/Contract

Language : Must be a Fluent German and English speaker

Candidate must be based in Germany

Job Description:


• 4-6 years of experience in various data architecture and engineering roles within data & analytics


• Collaborate with stakeholders to understand and document data requirements, business rules, and objectives for the data platform.


• Design and develop conceptual, logical, and physical data models that accurately represent the organization's data assets and support its business needs.


• Ensure designs meet documented objectives for reliability, scalability, supportability, user experience, security, governance, performance and more


• Implement data engineering practices, including normalization, denormalization, and indexing, to ensure data integrity, performance, and scalability.


• Work closely with architects to integrate data engineering into the overall platform architecture, ensuring efficient data processing and storage.


• Communicate effectively with technical and non-technical stakeholders to present and explain data engineering, design decisions, and recommendations.


• 3+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).


• Knowledge of Sagemaker/Jupyter, and data lake


• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.


• Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).


• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.


• Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC


• Ensuring that data are modelled and processed according to architecture and requirements both functional and non-functional


• Understanding and implementing required development guidelines, design standards and best practices


• Delivering right solution architecture, automation and technology choices


• Working cross-functionally with enterprise architects, information security teams, and platform teams


• Suggesting and implementing architecture improvements.

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