... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...
... data. Experience with data quality assurance processes. Ability to handle confidential data with discretion. Experience in developing reports and conducting data analysis. Knowledge of designing and managing reporting environments, including data sources, security, and metadata. Understanding of data warehousing concepts ...
... Analytical acumen to all business requirements Think out-of-box for business solution Skills:- SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Amazon Web Services (AWS), SQL Azure, PostgreSQL, Relational Database (RDBMS), NOSQL Databases, Oracle NoSQL Database, MongoDB, DynamoDB, JSON, XML and ETL
Summary :We are looking for an experienced Oracle DBA L3 with 7 -10 years of hands-on experience in Oracle Database Administration. The ideal candidate should have strong expertise in Oracle RAC installation, RAC architecture, Oracle Database 19c, backup & recovery, database patching, and security best practices. Experience ...
... Optimization, Wait Stats, and Dynamic Management Views (DMVs) - Generate and interpret Performance Baselines, Monitoring Dashboards, and Health Reports. - Support database-related requests such as user management, data refreshes, schema changes, and security audits. - Participate in AWR/ASH/Statspack analysis for Oracle environments ...
... converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. ...
... 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 ...
... 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.
... 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
... Health Systems. Undertake regular field visits and ensure high standards of integrity in the conduct and delivery of research activities. Work closely with the Data Manager to ensure strict adherence to IPH data management policies. Perform regular data analysis across mental health programs and prepare interim and final ...
... 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 ...
... 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 ...
... 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 ...