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Senior Python Developer

Q1 Technologies

Role Descriptions: Role Overview We seek a seasoned Senior Python Developer with expertise in Pandas| SQL databases| and Azure to design| develop| and optimize data-intensive applications. Youll architect robust ETL pipelines| enhance data models| and ensure seamless cloud integration to support our data-driven initiatives. Key Responsibilities - Design| develop| and maintain Python-based applications and microservices. - Build and optimize ETL pipelines using Pandas| NumPy| and SQLAlchemy for data processing| transformation| and analysis. - Manage SQL databases (e.g.| PostgreSQL| MySQL| SQL Server)| including schema design| query optimization| and performance tuning. - Deploy and manage cloud-native solutions on Microsoft Azure (e.g.| Azure Functions| Azure SQL| Azure Data Factory| Blob Storage). - Implement data validation| testing| and monitoring frameworks to ensure data integrity and system reliability. - Collaborate with data scientists| analysts| and engineers to translate business requirements into scalable technical solutions. - Mentor junior developers and advocate for best practices in coding| security| and CICD. Required Skills Qualifications - Experience 10 years in Python development| with 3 years focused on data engineeringanalytics. - Technical Expertise - Python Ecosystem Proficiency in Pandas| NumPy| and data manipulation libraries. - Databases Advanced SQL skills (complex queries| indexing| stored procedures) and ORM tools (e.g.| SQLAlchemy). - Cloud Hands-on experience with Azure services (e.g.| Azure Functions| Azure SQL| Data Lake| Synapse). - Data Pipelines Experience building batchreal-time ETL workflows. - Tools Git| Docker| CICD pipelines (e.g.| Azure DevOps)| and LinuxUnix environments. - Soft Skills Strong problem-solving| communication| and teamwork abilities. - Education Bachelors degree in Computer Science| Engineering| or a related field. Preferred Skills - Azure certifications (e.g.| Azure Data Engineer| Azure Developer). - Experience with PySpark| Apache Airflow| or Kafka. - Knowledge of NoSQL databases (e.g.| Cosmos DB). - Familiarity with DevOps practices (IaC| Terraform). - Exposure to machine learning frameworks (e.g.| scikit-learn).
Essential Skills: Role Overview We seek a seasoned Senior Python Developer with expertise in Pandas| SQL databases| and Azure to design| develop| and optimize data-intensive applications. Youll architect robust ETL pipelines| enhance data models| and ensure seamless cloud integration to support our data-driven initiatives. Key Responsibilities - Design| develop| and maintain Python-based applications and microservices. - Build and optimize ETL pipelines using Pandas| NumPy| and SQLAlchemy for data processing| transformation| and analysis. - Manage SQL databases (e.g.| PostgreSQL| MySQL| SQL Server)| including schema design| query optimization| and performance tuning. - Deploy and manage cloud-native solutions on Microsoft Azure (e.g.| Azure Functions| Azure SQL| Azure Data Factory| Blob Storage). - Implement data validation| testing| and monitoring frameworks to ensure data integrity and system reliability. - Collaborate with data scientists| analysts| and engineers to translate business requirements into scalable technical solutions. - Mentor junior developers and advocate for best practices in coding| security| and CICD. Required Skills Qualifications - Experience 10 years in Python development| with 3 years focused on data engineeringanalytics. - Technical Expertise - Python Ecosystem Proficiency in Pandas| NumPy| and data manipulation libraries. - Databases Advanced SQL skills (complex queries| indexing| stored procedures) and ORM tools (e.g.| SQLAlchemy). - Cloud Hands-on experience with Azure services (e.g.| Azure Functions| Azure SQL| Data Lake| Synapse). - Data Pipelines Experience building batchreal-time ETL workflows. - Tools Git| Docker| CICD pipelines (e.g.| Azure DevOps)| and LinuxUnix environments. - Soft Skills Strong problem-solving| communicat

Vacancy posted 3 days ago
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