76 to 100 of 402 Pandas Jobs

functional teams to enhance testing practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across our sports technology ecosystem. What … Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus … methodologies and train teams to independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest More ❯

functional teams to enhance testing practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across our sports technology ecosystem. What … Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus … methodologies and train teams to independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest More ❯

FastAPI . Experience with MLOps or deploying models at scale (particularly on AWS or GCP ) would be a strong plus. Tech Stack: Python Fast API Scikit-learn, Pytorch, TensorFlow Pandas, Numpy, SQL Lead Python Developer – 12 Month Contract – Fully Remote – Outside IR35, £650-750 a day More ❯

Building from the beginning – lots of IT Challenges – Python Code Migrating from library, tweaking, methodology. Skills: Quant Developer Python: Blackrock numeric data processing: numpy, scipy text data processing: pyarrow, pandas databases: sqlalchemy, psycopg parallelization: multiprocessing, concurrent.futures More ❯

Building from the beginning – lots of IT Challenges – Python Code Migrating from library, tweaking, methodology. Skills: Quant Developer Python: Blackrock numeric data processing: numpy, scipy text data processing: pyarrow, pandas databases: sqlalchemy, psycopg parallelization: multiprocessing, concurrent.futures More ❯

FastAPI . Experience with MLOps or deploying models at scale (particularly on AWS or GCP ) would be a strong plus. Tech Stack: Python Fast API Scikit-learn, Pytorch, TensorFlow Pandas, Numpy, SQL Lead Python Developer – 12 Month Contract – Fully Remote – Outside IR35, £650-750 a day More ❯

Building from the beginning – lots of IT Challenges – Python Code Migrating from library, tweaking, methodology. Skills: Quant Developer Python: Blackrock numeric data processing: numpy, scipy text data processing: pyarrow, pandas databases: sqlalchemy, psycopg parallelization: multiprocessing, concurrent.futures More ❯

Technical Leads to translate requirements into user stories and develop new functionality within existing software systems. - Implement Python-based data processing functionality using open-source libraries such as PySpark, Pandas, and NumPy. - Build automated test frameworks using PyTest and mocking tools to ensure code quality within CI/CD deployment pipelines. - Develop and maintain web APIs using FastAPI to interface … applications for performance and scalability in large data environments. Requirements Minimum Qualifications: - 1-3 years of professional experience in Python development. - Experience with data processing libraries such as PySpark, Pandas, and NumPy. - Proficiency in developing APIs using FastAPI or similar frameworks. - Hands-on experience with unit testing frameworks, including PyTest and mocking practices. - Strong understanding of the software development lifecycle More ❯

and 8 years+ experience in a revelant role. This will mean exposure to market data vendors, ability to communicate with traders and mentoring junior engineers. Tech stack: Deep Python, Pandas, AWS, Airflow, Kubernetes, ETL, SQL Please apply if this of interest More ❯

and 8 years+ experience in a revelant role. This will mean exposure to market data vendors, ability to communicate with traders and mentoring junior engineers. Tech stack: Deep Python, Pandas, AWS, Airflow, Kubernetes, ETL, SQL Please apply if this of interest More ❯

and 8 years+ experience in a revelant role. This will mean exposure to market data vendors, ability to communicate with traders and mentoring junior engineers. Tech stack: Deep Python, Pandas, AWS, Airflow, Kubernetes, ETL, SQL Please apply if this of interest More ❯

their team. Required: -Bachelor's Degree -Experience with Python, JavaScript, TypeScript, or SQL -Experience with ETL pipelines -Experience Git, SVN, or Mercurial Desired: -Experience with NumPy, scikit-learn, or Pandas -Experience with REST APIs (Python or Node.js) -Experience with writing SQL scripts for web applications The role is located in Springfield, VA and the work requires a TS/SCI More ❯

data is stored, organized, and accessed in the most efficient and effective manner. Your Toolkit The Languages You Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB … Philosophy : Continuous integration/deployments, (CI/CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and More ❯

smooth CI/CD pipelines using Azure DevOps or AWS. Work in a multicultural, multilingual team where both English and Dutch are spoken. Required Qualifications Professional experience with Python, Pandas, and related libraries. Experience with Dash, FastAPI, and RESTful APIs. Good knowledge of software craftsmanship practices (clean code, testing, documentation). Familiarity with Angular or React is a plus. Practical More ❯

software application components independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Required Skills: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python More ❯

Feature Branching/CICD Pipeline Basics, Version Control. Required qualifications to be successful in this role: 10+ years of Python (Pyspark/AWS SDK Libraries) development experience Experience in Pandas, Boto3, PySpark, PyTest Strong SQL development experience AWS services: Lambda, S3, Step Functions, Glue, EC2, ECS, CloudFormation, RDS, CloudWatch, Redshift, REST API, Docker Additional skills required are Git, Terraform, Jira … plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and Well-being programs Skills: Confluence Detail-oriented GIT GIT Pandas Python Terraform What you can expect from us: Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll More ❯

independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations 7+ years' demonstrated experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python More ❯

practices Experience with interfacing with customer stakeholders to align on requirements and technical implementations Required Skills: Minimum 3-5 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python More ❯

of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural More ❯

an AI/ML Engineer (freelance or employed), with portfolio or examples Proficiency in Python and frameworks like TensorFlow, PyTorch, Scikit-learn Experience in data engineering workflows and tools (Pandas, Spark, etc.) Strong understanding of model deployment tools (Docker, FastAPI, MLflow, etc.) Familiarity with cloud environments (AWS, Azure, or GCP) Solid grasp of AI ethics, model fairness, and regulatory requirements More ❯

Understanding/experience analyzing US Treasury and/or European government bond markets preferred Strong proficiency in Python programming and data manipulation libraries and experience dealing with datasets (e.g., Pandas, NumPy, SciPy) Experience with Dash/Plotly or other visualization software highly desirable Experience with database programming languages (e.g. kdb, SQL) Strong knowledge of MS Excel (especially using real-time More ❯

Processing team. Join a small, ambitious team working closely with Java and Data Science teams to build and support infrastructure for Credit Risk Management, using technologies like FastAPI, Pandera, Pandas, and Pydantic. The role involves collaboration, architecture development, code review, and supporting data science infrastructure. Remote work is possible with occasional office visits; based anywhere in the UK with the More ❯

iteratively deliver software Experience integrating Python code into Docker containers as part of a distributed architecture. Requirements: 1-3 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for More ❯

released. Key Responsibilities: • Be the point of contact to our client representing Grey Matters Defense Solutions with their software releases About you: • 3+ years experience using Python SciPy NumPy Pandas Boto3 • 3+ years experience using AWS C2S Integration S3 SQS SNS AWS CLI • 3+ years experience using Linux Bash RHEL Derivatives • Integration ICD Documents and Updates Working with groups to More ❯

independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Requirements: 7+ years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for More ❯