... requirements and technical execution, ensuring high-quality solution delivery Mentor junior scientists on coding standards, experimental design, and model ethics Audit data quality and process integrity across the entire modelling lifecycle Mentor and guide junior data scientist Stay updated with the latest trends in data science ...
... identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and ...
... 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 ...
... secure and high performance data platforms and architectures Lead the development of batch and real time data processing solutions using modern cloud and big data technologies Define data engineering standards best practices and governance frameworks Drive architectural decisions for data lakes lakehouses data warehouses ...
... helping enterprises solve complex data, AI and cloud transformation challenges. Founded in 1991, Impetus has grown into a global engineering organization serving data-driven enterprises and Fortune 100/500 clients. Its capabilities span cloud engineering, data engineering, enterprise AI, application modernization, DevOps and ...
... exceptional customer https://jobeax.com/link/Pbn4lQC1L4k8wFDg team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale https://jobeax.com/link/95FjFQQxFCFXlCQv You'll Do :Role Summary :As a Senior Data Scientist, you'll ...
... 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 ...
... the enterprise data lake, ensuring seamless flow and quality. Enhance cloud data infrastructure on AWS or Azure for scalability and performance. Utilize big data tools and frameworks to optimize data acquisition and preparation. Build architectures to move data to/from data lakes and data warehouses for advanced analytics. ...
... and processing - Experience with big data and real-time processing technologies, including Apache Spark, Hadoop, Kafka, and Amazon Kinesis - Experience with data modelling and database design across Structured Query Language and NoSQL platforms - Understanding of data governance, data quality, and security best practices ...
... huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecture of advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to ...
... 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. ...
Must-Have Skills :- 9+ years of relevant experience in Data Engineering and project delivery.- Strong expertise in Big Data concepts and cloud implementation projects.- Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).- Excellent hands-on experience with Python, PySpark, and ...
... 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, ...
... close tracking gaps and document tracking requirements, and turning raw app data into dashboards, reports, forecasts, and recommendations. This is a hands-on data analyst role for an expert in SQL and Looker Studio who can pull mobile app data directly from source systems, build pipelines that consume app data into our ...
... 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 ...