4 Advanced Python Jobs

Role Overview: This hybrid role sits within the Distribution Data Stewardship Team and combines operational and technical responsibilities to ensure data accuracy, integrity, and process optimization across sales reporting functions. Key Responsibilities: Support sales reporting inquiries from sales staff at all levels. Reconcile omnibus activity with sales reporting systems. Analyze data flows to assess impact on commissions and reporting. Perform data audits and updates to ensure integrity. Lead process optimization and automation initiatives. Manage wholesaler commission processes, including adjustments and manual submissions. Oversee manual data integration from intermediaries. Execute territory alignment changes to meet business objectives. Contribute to team initiatives and other responsibilities as assigned. Growth Opportunities: Exposure to all facets of sales reporting and commission processes. Opportunities to develop project and relationship management skills. Potential to explore leadership or technical specialist roles within the firm. Qualifications: Bachelors degree in Computer Engineering or a related field. 4–7 years of experience with Python programming and automation . Strong background in SQL and data analysis . Experience in relationship/customer management and leading teams . Experience working with Salesforce is a plus. Required Skills: Technical proficiency in Python and SQL . Strong communication skills and stakeholder engagement. High attention to data integrity and detail . Self-directed with excellent time management. Project coordination and documentation skills. Proficiency in MS Office , especially Excel .

Johnson & Johnson MedTech is seeking a Sr Eng Data Engineering for Digital Surgery Platform (DSP) in Bangalore, India. Johnson & Johnson (J&J) stands as the world's leading manufacturer of healthcare products and a service provider in the pharmaceutical and medical device sectors. At Johnson & Johnson MedTech's Digital Surgery Platform, we are groundbreaking the future of healthcare by harnessing the power of people and technology, transitioning to a digital-first MedTech enterprise. With a focus on innovation and an ambitious strategic vision, we are integrating robotic-assisted surgery platforms, connected medical devices, surgical instruments, medical imaging, surgical efficiency solutions, and OR workflow into the next-generation MedTech platform. This initiative will also foster new surgical insights, improve supply chain innovation, use cloud infrastructure, incorporate cybersecurity, collaborate with hospital EMRs, and elevate our digital solutions. We are a diverse and growing team, that nurture creativity, deep understanding of data processing techniques, and the use of sophisticated analytics technologies to deliver results. Overview As a Sr Eng Data Engineering for J&J MedTech Digital Surgery Platform (DSP), you will play a pivotal role in building the modern cloud data platform by demonstrating your in-depth technical expertise and interpersonal skills. In this role, you will be required to focus on accelerating digital product development as part of the multifunctional and fast-paced DSP data platform team and will give to the digital transformation through innovative data solutions. One of the key success criteria for this role is to ensure the quality of DSP software solutions and demonstrate the ability to collaborate effectively with the core infrastructure and other engineering teams and work closely with the DSP security and technical quality partners. Responsibilities Work with platform data engineering, core platform, security, and technical quality to design, implement and deploy data engineering solutions. Develop pipelines for ingestion, transformation, orchestration, and consumption of various types of data. Design and deploy data layering pipelines that use modern Spark based data processing technologies such as Databricks and Delta Live Table (DLT). Integrate data engineering solutions with Azure data governance components not limited to Purview and Databricks Unity Catalog. Implement and support security monitoring solutions within Azure Databricks ecosystem. Design, implement, and support data monitoring solutions in data analytical workspaces. Configure and deploy Databricks Analytical workspaces in Azure with IaC (Terraform, Databricks API) with J&J DevOps automation tools within JPM/Xena framework. Implement automated CICD processes for data processing pipelines. Support DataOps for the distributed DSP data architecture. Function as a data engineering SME within the data platform. Manage authoring and execution of automated test scripts. Build effective partnerships with DSP architecture, core infrastructure and other domains to design and deploy data engineering solutions. Work closely with the DSP Product Managers to understand business needs, translate them to system requirements, demonstrate in-depth understanding of use cases for building prototypes and solutions for data processing pipelines. Operate in SAFe Agile DevOps principles and methodology in building quality DSP technical solutions. Author and implement automated test scripts as mandates DSP quality requirements. Qualifications Required Bachelors degree or equivalent experience in software or computer science or data engineering. 8+ years of overall IT experience. 5-7 years of experience in cloud computing and data systems. Advanced Python programming skills. Expert level in Azure Databricks Spark technology and data engineering (Python) including Delta Live Tables (DLT). Experience in design and implementation of secure Azure data solutions. In-depth knowledge of the data architecture infrastructure, network components, data processing Proficiency in building data pipelines in Azure Databricks. Proficiency in configuration and administration of Azure Databricks workspaces and Databricks Unity Catalog. Deep understanding of principles of modern data Lakehouse. Deep understanding of Azure system capabilities, data services, and ability to implement security controls. Proficiency with enterprise DevOps tools including Bitbucket, Jenkins, Artifactory. Experience with DataOps. Experience with quality software systems. Deep understanding of and experience in SAFe Agile. Understanding of SDLC. Preferred Master’s degree or equivalent. Proven healthcare experience. Azure Databricks certification. Ability to analyze use cases and translate them into system requirements, make data driven decisions DevOps's automation tools with JPM/Xena framework. Expertise in automated testing. Experience in AI and MLs. Excellent verbal and written communication skills. Ability to travel up to 10% of domestic required. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Technical Skills Required: ETL Concepts: Strong understanding of Extract, Transform, Load (ETL) processes. Ability to design, develop, and maintain robust ETL pipelines. Database Fundamentals: Proficiency in working with relational databases (e.g., MySQL, PostgreSQL, Oracle, or MS SQL Server). Knowledge of database design and optimization techniques. Basic Data Visualization: Ability to create simple dashboards or reports using visualization tools (e.g., Tableau, Power BI, or similar). Query Optimization: Expertise in writing efficient, optimized queries to handle large datasets. Testing and Documentation: Experience in validating data accuracy and integrity through rigorous testing. Ability to document data workflows, processes, and technical specifications clearly. Key Responsibilities: Data Engineering Tasks: Design, develop, and implement scalable data pipelines to support business needs. Ensure data quality and integrity through testing and monitoring. Optimize ETL processes for performance and reliability. Database Management: Manage and maintain databases, ensuring high availability and security. Troubleshoot database-related issues and optimize performance. Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand and deliver on data requirements. Provide support for data-related technical issues and propose solutions. Documentation and Reporting: Create and maintain comprehensive documentation for data workflows and technical processes. Develop simple reports or dashboards to visualize key metrics and trends. Learning and Adapting: Stay updated with new tools, technologies, and methodologies in data engineering. Adapt quickly to new challenges and project requirements. Additional Requirements: Strong communication skills, both written and verbal. Analytical mindset with the ability to solve complex data problems. Quick learner and willingness to adopt new tools and technologies as needed. Flexibility to work in shifts, if required. Preferred Skills (Not Mandatory): Experience with cloud platforms (e.g., AWS, Azure, or GCP). Familiarity with big data technologies such as Hadoop or Spark. Basic understanding of machine learning concepts and data science workflows. Mandatory Key Skills Python Programming,ETL Concepts,Database Management,Query Optimization,Data Visualization,Cloud Platform,AWS,Azure,GCP,Advanced Python,Tableau,Power BI,SQL*

Role & responsibilities Python Developers are software engineers who specialize in using the Python programming language to develop and maintain software applications. As a Python Developer, you'll be responsible for writing, testing, and debugging code in Python to create applications that can run on various platforms, such as web browsers or mobile devices. Your job description as a Python Developer includes working closely with other developers, designers, and project managers to deliver software projects on time and within budget constraints. You'll need to have a strong understanding of Python programming language, as well as knowledge of software development methodologies such as Agile or Waterfall. to excel in this role, you must also have excellent problem-solving skills and be able to pay attention to detail, as even the smallest error could cause problems in the software. Furthermore, Python Developers must have strong communication skills to work in teams or with clients to discuss project requirements. Preferred candidate profile your tasks Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development. Required skills and qualifications 3+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community.