... 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, ...
... 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 ...
... tested, well-documented code (Git) and an understanding of latency, monitoring, and https://jobeax.com/link/CiyBkuFjYPA81cj6 skills :- Mobility & foot-traffic analytics: Working with smartphone/mobility data for catchment, footfall, and movement patterns.- NLP for unstructured/web-listed data: Extracting structure from text-based ...
... scalable data models and schemas to support analytics and reporting requirements. Optimize data processing performance, ensure high availability, scalability of data systems and solutions. Implement monitoring and alerting mechanisms to proactively identify and resolve issues. Ensure data quality and consistency through rigorous ...
... maintain scalable big data pipelines and architectures to support robust data solutions.- Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.- Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.- ...
... 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 ...
... - Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution architectures to support trusted data products, self-service analytics, and conversational AI.- Design solution architectures for modern data and AI platforms on Databricks.- Define and promote enterprise ...
... Product engineering team to influence designs with data, AI and analytics use cases in mind - In depth experience in System design involving large Petabytes of data with Databricks Lakehouse - Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context) - AWS, GCP, ...
... Support database upgrades, patching, and migrations Collaborate with DevOps, application, and cloud teams Participate in on-call support rotation (24x7) Perform database tuning, monitoring, and performance optimization to ensure database health and security. Ensure security best practices for cloud databases, including encryption, ...
Job Title: Teradata Database Administrator (DBA) Experience: 6+ years Location: Remote (Hyderabad/Bengaluru/Chennai) Contract Duration: 3-4 months with possible extensions It is not a SQL/Query-level performance tuning or indexing role. Experience managing workloads on Teradata Vantage (On-Premises, AWS, Azure, or Google ...
... a part of Database Engineering team and responsible for database administration for Postgres RDS and No-SQL database management. You will be responsible for database design, data architecture, data modeling, performance tuning and capacity planning. You will evaluate, configure, and install database management systems. ...
... engineering and architecture teams during system design and sprint planning to provide expert guidance on data modeling and schema design. Advise on optimal data structures, collection/table/keyspace design, and access patterns for each database technology. Enforce data security policies including encryption at rest and ...
... experiments across search, social, and landing pages, improve conversion rates, and keep lead quality high using search-term and CRM feedback. Skill(s) required Data Analysis Digital Marketing Facebook Ads Google AdWords Google Analytics Google Tag Manager Instagram Marketing Lead Generation Performance Marketing Search Engine ...
... SaaS CRM such as Salesforce into a self-hosted model, including reconciliation of migrated records. Redis, RabbitMQ or Kafka operations alongside a relational estate. PostgreSQL or SQL Server, and analytics or data-warehouse replica experience. Experience working within PCI DSS, GDPR or financial-regulator audit cycles.