... platforms that power core business use cases across real-time bidding, reporting, and analytics. You will lead a small team of engineers and work closely with data science, analytics, and platform engineering teams. You'll need a strong foundation in SQL and databases, coupled with working experience on big data systems. ...
... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...
... Ensure database servers are securely configured, patched, and compliant with operational standards. Manage backup, restore, and maintenance strategies to ensure data protection and availability. Cloud Database Deployments Deploy and manage database environments within Google Cloud Platform. Provision database servers using ...
... professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.
... related GenAI services. Machine Learning & Data Science Strong expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Predictive Analytics. Experience applying machine learning algorithms on large-scale datasets. Strong understanding of text and content representation techniques such as n-grams, ...
... BI reports, dashboards, and user access. Extract and share data from SAP (e.g., sales reports, customer details) in Excel format. Prepare and validate Excel data for incentive calculations and other business requirements. Ensure data accuracy and consistency across reports. Support ongoing data-driven initiatives and process ...
... support on data analysis tools, techniques, and best practices. What are we looking for : Minimum Education Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance. Minimum Experience Proficiency in analytics software ...
... ownership of data pipelines, KPI definitions, and customer-facing analytics. Demonstrated success in migrating analytics systems from legacy BI tools (e.g., GoodData, Tableau, Looker, Power BI) to modern or open-source analytics stacks, while ensuring metric parity and data correctness. Ability to drive analytics initiatives ...
... or data science teams Understanding of AI/ML lifecycle and data workflows PMP / PMI certification Prior experience in Business Analysis or Product roles Experience working within media, broadcasting, or digital advertising environments Familiarity with data privacy regulations (e.g., GDPR) and data governance principles
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
... manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... AI-focused product management in B2B2C, B2B or B2C space - Experience working closely and driving product requirements for Data Engineering, ML Engineering and Data Science teams. - Experience working in a SaaS offering in one or many of the following: Accounting, Payroll, CRM, ERP, DMS, eCommerce/Digital Retail, and Analytics. ...
... practices - sprints, scrum ceremonies, story https://jobeax.com/link/X7YsZmo9GJDjHCHf & Certifications : - Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.- Certifications (plus) : Snowflake SnowPro Advanced, dbt Certified Developer, Matillion Associate or Professional (Data Productivity ...
... Bachelor's or Master's degree in Data Science, Engineering, Statistics, Applied Mathematics, or a related field.- 10+ years of experience in Data Science, Advanced Analytics, or AI within manufacturing environments.- Proven experience working with PI Historian (OSIsoft/AVEVA PI System) and industrial time-series data.- Strong experience ...
Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services.
... of experience creating automated solutions for measuring data quality for ETL processes Minimum 1+ year of recent experience working with the following Azure Data Services: Azure Data Catalog, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analysis Services, Azure Data Factory Strong background ...
... analysis.- Design data integration architectures connecting ERP, CRM, and third-party platforms via APIs, messaging (Service Bus / Event Hub), and ADF.- Support analytics delivery by preparing clean, reliable data layers for Power BI or Azure Synapse Analytics https://jobeax.com/link/1kcJ6GRkyiQhz2At, Collaboration & Leadership ...
... validation and optimization. - Handle end-to-end data science projects from problem definition to production deployment. - Contribute to improving existing ML models, data pipelines and analytical processes. Required Skills - Strong hands-on experience in Data Science & Machine Learning . - Excellent proficiency in Python and data ...
... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...