... and Product teams to build scalable, secure, and reliable database platforms for mission-critical workloads. 8-12 years of experience as a Database Engineer, Database Administrator, or Database Architect. - Strong hands-on expertise in PostgreSQL, and Amazon Aurora . - Strong experience in database schema design, data modeling, ...
... provisioning to support infrastructure, applications, and services. - May perform standard and non-standard decommissioning (e.g., shutting down servers, removing data from databases) to remove objects that are no longer needed. Automation: - Identifies opportunities for automation and assesses potential benefits. - Develops ...
... opportunity This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of data science capabilities. It also applies advanced data mining techniques ...
... Technically familiar with the stack to recommend infrastructure improvements Desirable Skills Experience with Plotly library structure (For pictorial presentation of the data) Experience with Databricks/Database and schema knowledge Soft Skills Solid communications skills Negotiation skills with the highly technical SMEs
... RFI, RFP, RFQ, Solution Provider, https://jobeax.com/link/M8ebsC1nNQlhEQeQ :- Noida Sector 63 (Work From Office) For AWS Presales- Mumbai (Work From Office) For Data Center Presales- Bangalore (Work From Office) For Data Center PresalesJob Description : Data Center / Azure / AWS Presales Consultant- Proactively identifies ...
... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...
... - Build and deploysupervised/unsupervised ML modelsand NLP solutions - Performdata analysis, feature engineering, and model validation - Understand basics ofdata pipelines, datamodeling, and cloud platforms (Azure/Snowflake) - Support integration of AI models into scalable data/AI platforms - Supportmonitoring, performance ...
... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...
... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...
... right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.
- Deliver engaging classroom and/or online training sessions on topics including: - Python for Data Science - Data Analytics using Excel and SQL - Statistics and Probability - Machine Learning and Deep Learning - Data Visualization using Power BI / Tableau - Create and update course materials, projects, assignments, and ...
Purpose :This function supports the protection of patient privacy when clinical trial data is shared https://jobeax.com/link/l1hgfOb58lWIGmQb use cases :- Regulatory submissions.- Data sharing with researchers.- Health authority requests.- External collaborations.- Clinical trial transparency https://jobeax.com/link/2TEP4zJ4nBtcNfEZ ...
... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...
... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...
... experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL - Experience using Databricks platform and PySpark is a must. - Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault ...
... passionate sales executive to join our sales team. The sales executive's responsibilities include generating leads, making sales calls, continuously updating our CRM database, and meeting sales targets. To be successful as a sales executive you should be an inspired self-starter and able to drive sales growth. Ultimately, a top-notch ...
... environment.- Experience with data quality frameworks, metadata management, lineage tooling, and transaction-level reconciliation.- Working knowledge of cloud data services, workflow orchestration, infrastructure as code, and CI/CD for data pipelines.- Understanding of data protection, access control, encryption, retention, ...
... and unstructured data.- Build and optimize data transformation workflows to support reporting, analytics, and AI initiatives.- Create reusable and efficient data models within https://jobeax.com/link/oFTOv6oANonyhP3Z Data Platform :- Design and implement Snowflake architectures and data warehouse solutions.- Develop Snowflake ...
... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...