Python Data Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Data Developer in Tampa, FL, offering a long-term contract. Key skills include Python, Panda, DASK, Airflow, Neo4j, MongoDB, and Kafka. Local consultants only; expertise in data modeling and ETL processes is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Tampa, FL
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🧠 - Skills detailed
#Database Systems #Data Modeling #"ETL (Extract #Transform #Load)" #Databases #Airflow #Neo4J #Monitoring #Physical Data Model #SQL (Structured Query Language) #Python #NoSQL #Data Integration #Kafka (Apache Kafka)
Role description
Role : Python Data Developer
Location : Tampa FL (Day 1 Onsite)
Duration : Long Term Contract
Note: Need Local Consultants.
Skills Must Have : Python, Panda Framework, DASK, Airflow, Neo4j, Mongo DB, Kafka
• Expertise in conceptual, logical, and physical data modeling.
• Experience with various database systems, including SQL and NoSQL databases.
• Knowledge of ETL processes and data integration tools.
• Collaborating with team members to collect and analyze data
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to analyze data issues, identify root causes, and develop effective solutions.
• Collaborating with other data professionals to extract data figures, creating reports based on their findings and monitoring key performance indicators (KPIs) to determine business initiatives' success.
Role : Python Data Developer
Location : Tampa FL (Day 1 Onsite)
Duration : Long Term Contract
Note: Need Local Consultants.
Skills Must Have : Python, Panda Framework, DASK, Airflow, Neo4j, Mongo DB, Kafka
• Expertise in conceptual, logical, and physical data modeling.
• Experience with various database systems, including SQL and NoSQL databases.
• Knowledge of ETL processes and data integration tools.
• Collaborating with team members to collect and analyze data
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to analyze data issues, identify root causes, and develop effective solutions.
• Collaborating with other data professionals to extract data figures, creating reports based on their findings and monitoring key performance indicators (KPIs) to determine business initiatives' success.
