... analytic skills related to working with structured and unstructured datasets.- Working knowledge of message queuing, stream processing, and highly scalable "big data" stores.- Experience supporting and working with cross-functional teams and Global IT.- Familiarity of working in an agile based working https://jobeax.com/link/1WbmlmCgbnFpHH5X ...
... implement process improvements based on data analysis Manage testing, approvals, and hypercare activities with customs brokers and Internal stakeholders. Monitor data quality and provision status during stabilization phases. Smart Work (Hybrid Work Model): Enjoy a healthy work-life balance with our hybrid remote work options, ...
... in Cognos environment. This group oversees report development and enhancement, framework development, training, reporting governance, tuning, some aspects of data warehousing and Cognos system administration. The position involves effective understanding of business needs combined with a knowledge of pertinent data to design ...
... contract and the Sponsor’s expectations. Core Responsibilities • Acts as Functional Lead for Data Management including primary contact for internal liaison between Data Management/Operations and Project Management, Clinical Monitoring, and other functional groups • Coordinate the work of the assigned Data Management/Data Operations ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
... business processes through the practical use of data and AI, and deliver trusted data for enterprise solutions. You will bring: - At least 10 years of experience in data governance, data management or a related field. - Deep knowledge of data governance principles, practices and frameworks, with experience building enterprise-wide ...
... using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering tasks and Power BI as data analytics work - In-depth knowledge of performance optimization techniques for large-scale data processing, including code ...
... skills below are the actual bar. - Strong PostgreSQL expertise - Schema design - Query planning and optimization - Batch performance at real scale Production data pipeline ownership Ingestion Transformation Reconciliation Data serving Experience should go beyond application CRUD/ORM work. Strong SQL & data thinking Thinks ...
... Drive query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality ...
... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...
... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...
... collaboration with different teams to optimize data handling and support organizational data needs effectively. Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. Monitor and troubleshoot data pipelines to ensure reliability and performance. Document data processes and workflows ...
... Mixpanel, Amplitude, or similar analytics tools. - Good understanding of SQL. - Comfortable working with large datasets. - Ability to convert business questions into data-driven insights. - Strong communication skills. - Attention to detail and accuracy. Nice to Have - Experience working with SaaS products or mobile applications. ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... programming for data analysis. Strong understanding of data science methodologies and analysis techniques. Fluent in spoken and written English. A minimum 5-hour work overlap with PST/PT is required. Work with global experts in AI and data science. This is a contractual remote work opportunity without traditional job constraints. ...
... pipelines in cloud or modern data platforms. - 4+ years of hands-on experience with Databricks or similar cloud-based lakehouse platforms supporting enterprise data lakes, data warehouses, and business intelligence - 2+ years of experience using dbt (or similar transformation frameworks) including model structuring, tests, ...
Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...
... production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems. The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows. ...
... enhancing data storage and access, and ensuring seamless data consumption through APIs. The ideal candidate will work with Azure Cloud technologies to build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components ...