... to ensure seamless integration of data-driven initiatives Stay ahead of ... ) Nice to have Experience applying data science methods at scale or ... Experience in working in a data-driven environment, designing, executing and ...
... and architect for customized data solutions for global clients. Handle large-scale data processing and manage distributed systems ... AWS or GCP) and its data solutions. Strong SQL skills and ... Hands-on experience with big data frameworks (e.g., Hadoop, Hive, ...
... our journey as a Senior Data Analytics Engineer to play a ... bright-minded individuals looking after data delivery on time for a ...
... and services that ensure data accuracy and data availability for stakeholders in Data Science, Business, and Product teams. ... practices of running data applications in the cloud (AWS) ... SQL Familiarity with distributed data processing systems (e.g. Spark, ...
... will be on ensuring seamless data integration, maintaining high-quality standards, and upholding data security within this dynamic domain. ... TO HAVE Experience with Azure Data Lake Analytics WE OFFER We ...
... using Machine Learning, AI techniques, Data Visualization tools and Big Data technologies in cooperation with our ... are looking for a talented Data Engineer who can contribute to our projects with solid data intuition, hands-on problem-solving ...
... operation of our big data platforms, manage data workflows, and provide support for data analytics initiatives. Key Responsibilities: Hadoop ... user access controls, data encryption, and compliance with data protection regulations. Backup and Recovery: ...
... are looking for a Data Engineer who will help our ... . Design, build, and optimize data pipelines to support the platform. ... Hadoop, PySpark). Collaborate with Data Scientists and Machine Learning Engineers to integrate data pipelines with ML models. Manage ...
... datasets, Python scripting (e.g., data frames, pandas, yarrow), and familiarity with data analysis tools like Jupyter notebooks, ... expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization ...
... and implementation partners Integrate different data sources (financial data, distribution and transportation data, supply chain planning data, market data, warehouse data) to develop globally matched data models and ensure KPIs meeting ...