... purpose of this role is to develop, sustain and enhance technical architecture of Smith's cloud (and on-premise) based Platform and its applications. - The Senior Data Scientist is part of the overall Platform and Application Architecture group, working closely with Sales, Products & Technology, Program Management, Service and ...
... next-generation, cloud-native data platforms supporting Mastercard's global data ecosystem. In this role, you will lead the development of scalable batch and real-time data pipelines, enabling efficient data processing across Data Lakes and Data Warehouses. You will work at the intersection of data engineering, cloud platforms, and ...
... and modern data platforms Azure Data Factory, Fabric, Synapse, Databricks, or similar platforms. Experience with modern data lake and warehouse architectures. Data orchestration and scheduling frameworks. Monitoring and support ETL monitoring and observability. Data quality frameworks and validation processes. Incident management ...
... hands-on experience with Databricks for data analysis, exploration, validation, and troubleshooting. Advanced SQL querying and scripting skills, with the ability to work with complex and large-scale datasets. Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation. Ability to explore ...
... technical and non-technical audiences. Requirements: - 8–10 years of experience in data science or related fields. - At least 4 years of hands-on experience as a Data Scientist in real-world production environments. - Minimum of 2 years' experience working with Azure Cloud, including Databricks, Azure Data Factory (ADF), and ...
... pharmaceutical plants, FMCG projects - Data Centre projects hyper scale and retail scale. - Excellent domain knowledge of Master planning, preparation of concept layouts, working drawings and good for construction drawings, Pre-Engineered Building works, - Awareness of 3D platforms like Revit 3D, Sketch up, Lumion, Twin motion At Jacobs ...
... product, and analysis capabilities as a Data Platform Engineering team. We work as the core platform team supporting multiple markets in their business-critical Data platform and shared capabilities. Design, develop, test, and deploy production-ready applications and data pipelines using Python, PySpark, and related technologies ...
... are growing rapidly, and we are currently seeking a full-time, office-based Junior Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company's success. Utilize skills in development areas including data warehousing, business ...
... real-time ETL/ELT pipelines on GCP Build and optimize data pipelines using Python Implement streaming solutions using Pub/Sub and Dataflow Develop and manage batch workflows using Cloud Composer Design and optimize data models and queries in BigQuery Work with large-scale, low-latency data stores such as Bigtable Ensure data ...
... pipelines. • Understanding of data governance, security, and compliance frameworks. Experience, Qualifications, and Education • Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake. • Education: University degree required. • Preferred: ...
Try new things, learn new skills and discover what you excel at—all from Day One. The Data Analyst leads complex analytical work from problem definition through insight delivery. This role translates business needs into analytical approaches, builds and maintains complex data models and dashboards, applies advanced analytical ...
... development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: - Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, ...
... frameworks and data validation processes. Collaborate with IT, Product, and Analytics teams to align data quality initiatives. Develop, monitor and maintain data processes in AWS environments. Assist in automating data workflows and troubleshooting cloud-based data issues Bachelor's degree in computer science, data science, ...
... and Product teams to build scalable, secure, and reliable database platforms for mission-critical workloads. 8-12 years of experience as a Database Engineer, Database Administrator, or Database Architect. - Strong hands-on expertise in PostgreSQL, and Amazon Aurora . - Strong experience in database schema design, data modeling, ...
... compensation, ESOPs, employee-friendly policies, modern collaboration tools, professional development opportunities, and benefits that help you do your best work. The Zonal Head Kolkata will be responsible for expanding the partner network and achieving sales targets across Bihar, Jharkand, Orissa, North east and West ...
... Engineer to design, build, and optimize scalable data solutions. The role involves working across data engineering, ETL/ELT, cloud platforms, big data technologies, data warehousing, and production data https://jobeax.com/link/Hs9HFpL9CgnoXDpa Future Employer :A leading global AI and analytics organization working on data engineering, ...
... https://jobeax.com/link/hgZXWGbivT1rywct Stack & Qualifications:- Bachelors degree in computer science, Data Analytics, Engineering, or a related discipline.- Strong grasp of core data engineering principles, including data lake architectures, columnar storage formats, ETL/ELT frameworks, and BI ecosystems.- Ability to operate effectively in ...
... Experience with MLOps tools and frameworks for CI/CD, model deployment, and monitoring. Knowledge of Agentic AI systems and autonomous agents. Strong understanding of data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI solutions. Experience with data visualization ...
... technical concepts to business audiences. - Experience in leading project teams and providing technical direction. Extensive experience working in the data science, data engineering, or analytics profession. Hands-on experience working with extremely large data sets and building scalable models. Experience in data visualization ...
... disaster recovery and data recoverability. - Analyze database performance and improve stability and scalability. - Troubleshoot business-critical production database incidents. - Maintain database security, configuration, documentation, and operational standards. - Support critical database issues outside regular working ...