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Senior Level / Experienced Remote Python Data Jobs
Senior Data Engineer
Key Responsibilities: Design and optimize SQL and Python-based data flows Develop and maintain relational and spatial data models Support data migrations and pipeline monitoring Qualifications: 5+ years of experience in data engineering or systems
CX Analyst
Qualifications Minimum 3 years of experience in a data analysis role Advanced proficiency in Tableau for data visualization Experience with PowerBI for reporting and dashboards Proficient in SQL for data extraction and manipulation Programming skills in Python...for data manipulation and analysis
Data Engineer
Key Responsibilities Develop and maintain data pipelines using ETL/ELT tools Utilize SQL, PL/SQL, and Python for data processing and analysis Implement and manage data workflows using Airflow and Terraform Required Qualifications 8+ years of development
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Senior Data Analyst
Science, Mathematics, Computer Science, Statistics, Business, or related field, or 4 additional years of relevant experience in lieu of a degree 5 years of experience in an analytical or quantitative role Hands-on experience with SQL, Power BI, and Python...for data analysis Experience in the Healthcare industry is preferred Master's degree in a quantitative field is a plus
Data Analyst
Computer Science, Statistics, Business, or a related field, or 4 years of relevant work experience in lieu of a degree 3 years of data analysis or relevant work experience Hands-on experience with SQL and Microsoft Power BI Basic experience with Python...for data exploration and transformation Familiarity with analytical modeling methods and data visualization best practices
Senior Data Engineer
Establish operating standards and service-level agreements with analysts and data scientists Lead technical discussions on data architecture and collaborate with engineering teams Required Qualifications: 5+ years of experience in data engineering and data...modeling Proficiency in Python and scalable data infrastructure Deep expertise with cloud-based data platforms, preferably AWS Experience with data pipelines using Airflow and data storage systems like S3 and Redshift Strong knowledge of SQL, Python
Senior Data Engineer
Key Responsibilities Collaborate with cross-functional stakeholders to gather and understand data requirements Design and develop robust data pipelines in Python to import, transform, and load data into Snowflake and Data Lake environments Ensure...data quality and integrity throughout the pipeline lifecycle Required Qualifications Strong proficiency in Python and SQL (5+ years) Experience in building scalable data pipelines using Python (5+ years) Hands-on experience extracting data from REST
Marketing Operations Analyst
marketing data practices Required Qualifications Bachelor's degree in Data Science, Computer Science, or a related field 3-5 years of experience in data management or analytics, preferably in a marketing context Proficiency in SQL and familiarity with Python...Experience with data platforms like Databricks/Snowflake and analytics tools such as Tableau Demonstrated curiosity and proactive approach to improving data processes
Lead Data Scientist
field, with 2-3 years as the main technical lead Experience with search systems like Elastic and SOLR, and their customization capabilities Extensive experience with machine learning frameworks such as TensorFlow and PyTorch Expert understanding of Python...and big data technologies like Spark and Kafka Master's Degree or equivalent in quantitative fields preferred
Senior AI Consultant
Intelligence, Information Technology, or a related field 5 years of professional experience in AI solution development, preferably in a consulting environment Proficient in developing advanced AI solutions using Azure Cognitive Search Expertise in Python...programming and building data pipelines using Azure Semantic Kernel In-depth knowledge of prompt engineering and Azure ML
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