Data Engineer

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October 31

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Axiom Software Solutions Limited

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IT Services • Software Development • Consulting

Axiom Software Solutions Limited is a global information technology, consulting, and outsourcing company headquartered in London, UK, with offices in Noida, India. With over 20 years of IT experience, Axiom specializes in delivering digital solutions, technology consulting, and recruitment services across various industries including Banking & Financials, Healthcare, and Media & Telecom. Their expertise includes a wide range of technologies such as SAP, Oracle, Salesforce, and AWS, providing clients with tailored IT solutions to enhance operational efficiency and achieve business goals. Axiom prides itself on its ability to deliver cost-effective, adaptable solutions and has a significant track record of success with a wide professional network and talent pool to support diverse global needs.

201 - 500 employees

📋 Description

• 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.

🎯 Requirements

• 4-6 years of experience in various data architecture and engineering roles within data & analytics • Must be a Fluent German and English speaker • Candidate must be based in Germany • 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 • 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.