... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
MDM Data Engineer Location: Remote (Offshore) Full time Snowflake- 5 Years Master Data Management- 5 Years Scripting – Python- 5 Years SAP/Salesforce/Engage to Graph DB- 5 Years Minimum IT Experience: 8+ Years The MDM Data Engineer will build and operate the data pipelines, models, and profiling capabilities that power ...
... Implement 'Data SLAs.' You will build the monitoring and alerting systems that notify the team of data drift or pipeline failures before the business notices. Data Productization: Work closely with the BI team and Data Scientists to prepare 'feature-ready' datasets. Performance Tuning: Deep-dive into SQL and Spark query ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... relocation Remote Type: This position is fully remote Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and ...
... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...
... contribute to improving the quality of data used in next-generation AI systems. Key Responsibilities Data Analysis & Review Review and analyze large business datasets for accuracy, completeness, and relevance . Examine data to identify inconsistencies, anomalies, and potential quality issues. Assess data integrity and provide ...
About the role :We are scaling our geospatial data-science capability - turning multi-source data (mobility, points of interest, demographic datasets, transaction signals, satellite imagery) into validated location attributes at fine spatial granularity (grid- and address-level) and powering ML models that are served as ...
... Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery ...
... work https://jobeax.com/link/TcYMIwwXyQaLOZSp Qualifications :- Prior experience in fast-paced or startup-like environments supporting global teams.- Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).- Familiarity with machine learning operations and data science workflows is a plus. (ref:hirist.tech)
... specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster ...