... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
Key responsibilities :Data Architecture & Platform Build :- Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse)- Enable self-service analytics and reporting platforms- Lead implementation of BI tools and dashboards- Partner with business teams to define KPIs, metrics, and insights frameworks- ...
... solutions in Client Data Product Management . As a Data Product Manager within our dynamic team , you will be responsible for scaling the CDM(client data management) data product, strengthening operating models, and driving operational excellence through data-driven execution. Drive product development for the CDM data product ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist ...
... available data to support inventory and supply planning decisions. Reporting & Data Analysis - Prepare clear, actionable supply chain reports using intermediate Excel functions. - Use pivot tables, lookups, and basic formulas for supply chain analysis and reporting. - Translate operational data into practical insights for ...
... documentation. Assisting in the preparation of financial statements and reports. Doing proper research on tax regulations and compliance standards. Managing data entry for accounts payable and receivable. Ensuring all financial records are manually verified and accurate. Helping with bank reconciliations and expense tracking. ...
... information is organized and accessible. Data entry services are often outsourced to specialized providers for efficiency and accuracy in handling large volumes of data. Services clients, drives best practices, and improves client outcomes through excellent customer service and operational excellence. Respond to client service ...
... orchestration, OneLake concepts and Power BI semantic models, including Direct Lake where appropriate. - Experience with data warehouses, data lakes and Azure data services such as Azure Data Lake Storage and Azure Data Factory. - Strong knowledge of dimensional modelling, analytical structures and data-modelling trade-offs. ...
... the design and implementation of scalable, high-quality data pipelines and cloud data platforms using AWS and Snowflake, while partnering with the Principal Data Engineer to maintain strong technical architecture and engineering standards. Engineering Excellence: Drive adoption of modern data engineering practices, including ...
Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...
... MS-Excel and Power Point - Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other ...
... analysis. Knowledge of data modelling, database design, and data architecture principles. Data Quality: Proven experience in data quality management, including data cleansing, validation, and assurance. Familiarity with data quality tools and frameworks. Excel Expertise: Extensive experience in utilizing Excel, including ...
Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...
Job Description – Data Engineer Experience: 5–7 Years Role: Sr. Data Engineer Department: Data Engineering / Product Engineering Role Overview We are looking for an experienced Data Engineer with 5–7 years of hands-on experience in ETL/ELT, database engineering, Big Data processing, and complex bi-directional data integrations ...
... technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloging Excellent communication skills with the ability to convey complex ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
Research and Development Business Unit: Finance Experience Level: Experienced Professionals The Commercial Data Science (CDS) team partners with Shell's business units to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Scientist within the Digital Process Twin (DPT) portfolio, ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...