... strong analytical capability with clear stakeholder communication. They work effectively across functions, cultures and external manufacturing partners, using data to identify risks, resolve problems and influence timely decisions. They bring practical knowledge of manufacturing operations and production planning, strong ...
... and analytical thinking, and continuously adapt as technologies evolve , must drive an AI first sense of purpose and urgency. The Senior Regulatory Affairs Analyst is responsible for supporting Clinisys' global regulatory affairs activities to ensure ongoing compliance with applicable healthcare, medical device, software, ...
... detail and a focus on accuracy, completeness, documentation and review discipline. - Advanced Excel capability, including complex formulas, pivot tables, lookups, data tables, scenario modelling, structured templates and large dataset manipulation. Inclusive of practical experience using Excel to automate, standardize and improve ...
... asset management, IT purchasing, and day-to-day coordination of IT administrative activities. This is a hands-on position with defined ownership of routine IT operations and controls. The role supports the wider IT team by ensuring that standard processes are followed, records are accurate, and activities are completed in a ...
... perform the above tasks in collaboration and agreement with the team leaders, project leads and other development staff, and where necessary with the Business Analysts, Ops Leads, FO, A & D teams, Methodology teams Strong Functional/Data/Risk Analysis experience. Awareness Market and counterparty risk and Credit risk 4 years ...
... Commerce, Finance, Economics or a related discipline . Approximately 5–6 years of professional experience , preferably in governance, process management, business operations, operational controls or a similar role within a global organization. Practical experience working with governance processes, controls, approvals, documentation, ...
Department: Finance Compensation: 1,100,000 - 1,500,000 / month We are seeking a highly organized, detail-oriented, and proactive Accounts Receivable (AR) Analyst to join our growing finance team in India. The ideal candidate will take ownership of cash applications, proactively manage collections, and play an instrumental ...
... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...
... improving technical safeguards that protect sensitive corporate and customer data across cloud, endpoint, and enterprise environments. As a subject matter expert in data security and privacy engineering, this individual deploys and tunes data discovery, classification, DLP, encryption, and key management controls. The Data Protection ...
... 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, ...
... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs
... 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, ...
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture. Responsible to design, build, refactor, and maintain ...
... implementation, improvement, and rollout of data interfaces supporting Foreign Trade and Customs processes. The role acts as the interface between business, customs operations, brokers, and IT to ensure high-quality data flows, process efficiency, and successful global deployments. Data Provision to Process Interface Data Management ...
... 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 team • Ensures ...
Role : Data Engineering Manager (E-commerce & AI-First Platform)Location : Bangalore, India Experience : 7 -10+ Years Role Overview : We are seeking a high-impact Data Engineering Manager to lead the end-to-end data foundation for a fast-scaling global e-commerce and marketplace operator. This is a strategic leadership ...
The Role You own the data substrate and the batch runtime of a product we are building from scratch. This is a data-specialist seat, not a general backend seat. Routine application development is guided in weekly reviews; what cannot be substituted is your depth in data modeling, set-based computation, and pipeline correctness. ...
... pipelines to convert data between source and target systems, following the mapping and transformation logic defined by the Architect. Good working knowledge of data mapping, source-to-target transformation logic, and reconciliation techniques for large datasets. Collaborate with application engineers, business analysts, and ...