... tracing analysis and service dependency mapping - Familiarity with infrastructure as code (Terraform) for observability resource management - Background in statistical analysis and machine learning for anomaly detection - Experience with business intelligence tools (Tableau, PowerBI) for executive reporting integration
... machine learning models to solve complex telecommunications challenges, directly impacting system performance and customer satisfaction.- Engineer end-to-end data pipelines using Hadoop to process large-scale datasets, ensuring high availability and data integrity for downstream analytics.- Implement advanced deep learning ...
Advanced SQL & T-SQL : Expert-level database query optimization, view creation, and deep structured analytical querying Advanced Programming : Hands-on capability in Python for exploratory data analysis (EDA), hypothesis testing, and implementing fundamental Machine Learning (ML) models Microsoft BI Stack : Solid foundation ...
... connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement ...
... Science. Minimum 5–7 years of experience in a Business Analyst role, with demonstrable experience mentoring or leading other analysts. Knowledge of advanced data analytics and machine learning techniques. Proficiency in business intelligence and data visualization tools (e.g., Tableau, Power BI, Excel, Google Sheets, Looker ...
... Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026 – the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions. ...
... ResponsibilitiesProject Planning and DesignDesign and coordinate four interdisciplinary projects annually for assigned https://jobeax.com/link/f5opbeyBIJwODWSy learning outcomes from English, EVS/Science, Social Studies, and https://jobeax.com/link/nZJCg1GKgK6QrFjB project briefs, timelines, rubrics, worksheets, and assessment ...
Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... System (SKOS), an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center stage as Kitopi continues to reinvent the food industry and remain the leading food company in ...
... production issues, work with Databricks to open incident tickets/case and follow up to close the issue and ensure long term fixes - Additional knowledge of other Databricks key features, like Genie, Apps, Models creations etc Required Qualifications: - Bachelor's degree in computer science, Information Technology, Engineering, ...
... Computer Science, Computer Engineering, Information Technology, or a related technical field. Experience with data governance platforms such as Collibra, Alation, Data Catalog, Lineage, and Metadata Management solutions. Knowledge of relational, NoSQL, columnar, and MPP database technologies. Experience with CI/CD pipelines, ...
... Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog. This role sits at the intersection of data engineering, model lifecycle management, ...
... Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact with clients at the executive level Collaborate with data science, reporting and product development ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...