... integration, primarily using Azure Databricks , Azure Data Lake , and Microsoft Purview . Pipeline Development – Design, build, and deploy robust ETL/ELT pipelines in Databricks (PySpark, SQL, Delta Lake) to ingest, transform, and curate governance and operational metadata from multiple sources landed in Databricks. Granular Data ...
... episodic and long-term memory across AI systems.- Permission-aware retrieval with tenant isolation, document-level security, compliance controls, and audit trails.- Data flywheel architecture transforming production data into training and evaluation assets for future LLM and SLM https://jobeax.com/link/uW4ozJESYI73KG83 Skills ...
... than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective. com , or follow us on LinkedIn and X About Data and Analytics (DNA) Practice At Oliver Wyman Data and Analytics, we partner with clients to solve tough strategic business challenges with the power of analytics, ...
... and more chances to do meaningful https://jobeax.com/link/PqyaquKaGIaZQeGj consultants use emerging technologies and best practices to help clients become more data driven across a range of industries. Recent projects include building a customer data platform for a leading Airline, an IoT based real-time driver safety dashboard ...
... all data products align with enterprise data platform strategy (Lakehouse, AWS/GCP) Collaborate with architecture teams to ensure Scalability and performance, Data quality, lineage, and governance compliance. Promote data reuse and asset standardization across use cases and drive adoption of best practices in data modeling ...
Role Overview:As a Data Analyst at FourthPointer Services, you will serve as the bridge between raw data and strategic business insights. You will work closely with cross-functional teams and external stakeholders to identify trends, troubleshoot data inconsistencies, and build automated reporting structures. Your daily ...
... frameworks and data validation processes. Collaborate with IT, Product, and Analytics teams to align data quality initiatives. Develop, monitor and maintain data processes in AWS environments. Assist in automating data workflows and troubleshooting cloud-based data issues Bachelor's degree in computer science, data science, ...
... global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP) Bachelors degree in Computer Science, MIS, or related fields. - 6-7 years ...
... reasoning models autonomous agents) for HR use cases. https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS in Computer Science Data Science AI or related field Relevant years of experience in Data Science / AI / ML roles Experience in Gen AI Agentic AI will be preferred Relevant years of experience ...
... build, and optimize high-throughput data pipelines using Python, R, and PostgreSQL to handle market and execution data. - Build and manage robust, scheduled data workflows using tools like Airflow/Dagster to ensure 24/7 data availability for global markets. - Monitor pipeline health, debug data discrepancies in logs, and ...
... documentation for data enablement & quality processes. - Liaise closely with Labcorp Data Insight colleagues to ensure feedback loops are in place around any data issues. - Assist in the development and implementation of Data Quality initiatives, including data quality checks, data cleaning, data enrichment, and normalization ...
... maintains complex data models and dashboards, applies advanced analytical techniques, and presents recommendations to leadership and stakeholders. The Senior Data Analyst also mentors junior analysts, reviews analytical outputs, partners with engineering and product teams on data design decisions, and proactively identifies ...
... efficiencies across all enterprise functions. With support from Data Analysts team, the Sr. Data scientist identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data ...
... Maintain organized digital records while safeguarding confidential customer, payment, and financial information. Support the Controller and Accounting team with data reviews, record corrections, reporting, and general administrative duties as needed. Previous experience in data entry, order processing, administrative support, ...
... Responsibilities: Manage master data, including its creation, updates, and deletion. Manage users and user roles within data systems. Provide quality assurance of imported data , collaborating with quality assurance analysts if necessary. Oversee the commissioning and decommissioning of data sets. Process confidential data and information ...
Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...
... pretend like it’s for everyone but if you’re a builder who loves solving tough problems, you’ll feel right at home. The role We're looking for a sharp, hungry analyst to join the data team at Headout. This is a foundational role, you'll work closely with senior analysts and leadership to build the reports, dashboards, and ...
... storage. Build and maintain medical imaging data repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations. Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata. Develop scalable solutions for medical imaging data ...
... and improve data quality. Monitor pipeline reliability, data availability and performance. What we're looking for - 5+ years of experience in Data Engineering, Data Operations or a related field. - Strong experience with GCP and Azure data platforms. - Hands-on experience in data pipelines, ETL, databases and data warehousing. ...