Wolters Kluwer is a global leader in professional information services that combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence.
About the Role: Take your software engineering career to the next level as a Senior Product Software Data Engineer. You will play a key role in designing, developing, and troubleshooting software programs. Your technical skills and innovative
Key Responsibilities • Develop and maintain Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers. • Build reusable data ingestion pipelines and CDC frameworks for sources including GCP, CSV, Excel, email files, and SharePoint.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments
The Data Engineer supports, develops, and maintains data and analytics platforms that enable reliable, scalable, and efficient access to data. This role partners with Business and IT teams to understand requirements and leverage modern data engineering technologies to deliver high-quality
Job Description Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the banks data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across
Company Description At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers success. To support this mission, Syngenta’s IT &
Company Description Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities. We serve more than 5.5m customers
We are seeking a highly skilled AWS Data Engineer with deep expertise in AWS cloud architecture, big data processing, real-time streaming, and modern data lake technologies. The ideal candidate will have strong hands-on experience in Spark (PySpark), Iceberg, EMR, Starburst/Trino,
At SiteMinder we believe the individual contributions of our employees are what drive our success. That’s why we hire and encourage diverse teams that include and respect a variety of voices, identities, backgrounds, experiences and perspectives.
Looking for a hands‑on Senior Data Engineer – AWS with experience to development, build, and maintain scalable, secure, and high‑performance data platforms on AWS. This is an individual contributor role focused on data pipeline development, cloud data engineering, and analytics
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments
What do we do? The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on
What to Expect About the Role We are looking for a hands-on Senior Data Engineer to help build and evolve Tesla’s next-generation enterprise analytics platform that powers business intelligence, operational intelligence, manufacturing insights, supply chain visibility, service
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working
Req ID: 391052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently
Role Summary: Markets Operations Technology team is looking for a Lead Python Architect with extensive experience in developing large-scale Data Processing and Workflow platforms. The person in this role will lead the design, development, and delivery of a
Technical Skills. 6+ years of experience in data engineering or analytics roles. Strong hands-on experience with Databricks (Spark, Delta Lake, MLflow) and Azure Synapse Analytics. Proven experience in building and scaling data teams and mentoring junior engineers. Solid
Data Scientist Job requirements Experience Range: With at least 4 years of experience in advanced data science, statistical analysis, and machine learning model development, including hands-on work with large datasets and production model deployment. Key Responsibilities: Design, develop,
Data Scientist Job requirements Experience Range: With at least 4 years of experience in advanced data science, statistical analysis, and machine learning model development, including hands-on work with large datasets and production model deployment. Key Responsibilities: Design, develop,