Python, SQL, Javascript Experience working with databases and data pipelines \/ ETL workflows Experience working with APIs and web scraping Experience in working within cloud environments Azure, GCP ...
Python, SQL, Javascript Experience working with databases and data pipelines \/ ETL workflows Experience working with APIs and web scraping Experience in working within cloud environments Azure, GCP ...
Growth Engineer
Miami, FL · On-site
$110K - $130K/yr
... scraping for negative sentiment and/or market shifts that can be leveraged to out-position the ... Analyze funnel and behavioral data to rapidly pivot strategies where needed. Change the way RevOps ...
Growth Engineer
Miami, FL · On-site
$110K - $130K/yr
... scraping for negative sentiment and/or market shifts that can be leveraged to out-position the ... Analyze funnel and behavioral data to rapidly pivot strategies where needed. Change the way RevOps ...
Python Data Scraping information
What is the difference between Python Data Scraping vs Python Data Analysis?
| Aspect | Python Data Scraping | Python Data Analysis |
|---|---|---|
| Primary Focus | Extracting data from websites and online sources | Processing, interpreting, and visualizing data |
| Skills Required | Web scraping libraries (BeautifulSoup, Scrapy), Python programming | Data manipulation (Pandas), statistical analysis, visualization (Matplotlib, Seaborn) |
| Work Environment | Data collection, often in research or data-driven companies | Data interpretation, reporting, and decision-making |
| Common Usage | Gathering data for research, market analysis, or machine learning | Business insights, data reporting, predictive modeling |
Python Data Scraping and Python Data Analysis are related but distinct roles. Data scraping focuses on extracting data from websites, while data analysis involves processing and interpreting that data. Both require Python skills but serve different stages of the data pipeline.
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Full-time
Re-posted 7 days ago
Job description
As a Business Facing Product Engineer, you will be at the forefront of ensuring our people enjoy a seamless experience with our production technology systems. Your role is focused on the Research Team and the departments it works with by creating well documented production grade tools that increase productivity, reduce friction and enable new capabilities, whilst minimizing risk. Reporting to the Technology team, headed by the CTO, you will act as the Technology Business Partner for Research.
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Primary Responsibilities:
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Enable New Capabilities
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Develop dashboards\/applications for portfolio and position\-level performance analysis and decision support
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Implement generative\-AI powered tools & automations to accelerate the research & portfolio management process
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Build & aggregate reusable data assets for the research team
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Increase Productivity \/ Reduce Friction
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Automate regular reports & create dashboards to support ad\-hoc analytics
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Manage forms and interfaces for data entry and process support across research apps
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Drive documentation of existing tools & processes
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Manage Risk
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Implement data quality analytics & controls
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Create automations to assist in record keeping (i.e. meetings, research sources)
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Continuous Improvement
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Stay informed about industry trends, emerging technologies, and updates related to our technology environment.
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Propose enhancements to improve user experience and productivity.
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Requirements and Skills
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Coding languages: Python, SQL, Javascript
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Experience working with databases and data pipelines \/ ETL workflows
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Experience working with APIs and web scraping
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Experience in working within cloud environments Azure, GCP, AWS
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Experience with data visualization tools (PowerBI, Tableau, custom dashboards)
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Experience with agile project management and \/ or product management
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Experience developing LLM integrations and prompt engineering
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Experience with: Airtable, Palantir Foundry, Microsoft Power Automate, GitHub, serverless functions
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Microsoft 365 Proficiency: Familiarity with Microsoft 365 applications, administration, and troubleshooting.
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User\-Centric Mindset: Ability to empathize with users, communicate effectively, and provide exceptional client support.
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Technical Aptitude: Understanding of hardware, software, and networking concepts, Mac and PC.
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Problem\-Solving Skills: Resourcefulness in diagnosing and resolving technical issues.
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Certifications: Relevant certifications (e.g., Database, AI, Automation and Visualization) are advantageous.
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Education: A degree in Information Technology, Computer Science, or a related field.
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Minimum 5 years' experience in the required field
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About No Limit Technology
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Tampa, FL, US
Year founded
2017