Talan
Financial Services
SSRDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“SSR Data Engineer at Talan. Skills: Data Engineering, Big Data, ETL, Spark. Design Big Data processes. Develop Big Data processes”
Industry & Context.
Hybrid position
What They're Looking For.
Must Have
3–5 years experience Big Data, Hands-on ETL design, Hands-on data models, Spark experience, Scala experience, Hadoop ecosystems knowledge, Advanced SQL skills, Data testing experience, Data validation experience, Basic Shell scripting knowledge, English B2/C1 proficiency
Nice to Have
Azure Databricks experience, Banking background, Market Risk background, Airflow knowledge, Workflow managers knowledge, Pipeline managers knowledge
What You'll Do.
Design Big Data processes
Develop Big Data processes
Automate Big Data processes
Maintain ETL pipelines
Perform data validation
Perform quality controls
Work on shared frameworks
Contribute to improvement
How You'll Work.
Team & Collaboration
Big Data team; Risk teams; Technical teams; International environment
Process & Methodology
Agile, Scrum, Product Ownership
Full Job Description
Talan – Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. Talan at a Glance Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year. Our Core Areas of Expertise * Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. * Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. * Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies. We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications. About the project You will join a Market Risk environment within a large financial organization, working on the definition, automation, and evolution of Big Data processes. The project focuses on data-intensive pipelines used for risk calculation and analytics, leveraging distributed technologies and strong data quality standards. You will be part of a Big Data team handling shared platforms and common data challenges across the area. What you will do * Design, develop, and automate Big Data processes using Spark and Sc
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