01Key Responsibilities
Python developer experienced with Azure Cloud using Azure Data bricks for Data Science : Create models and algorithms to analyze data and solve business problems Application Architecture: Knowledge of enterprise application integration and application design Cloud Management : Knowledge of hosting and supporting applications of Azure Cloud Data Engineering : Build and maintain systems to process and store data efficiently Collaboration : Work with different teams to understand their needs and provide data solutions. Share insights through reports and presentations Research : Keep up with the latest tech trends and improve existing models and systems KEY INTERACTIONS (iNTERNAL/EXTERNAL CUSTOMERS) Internal External Team Members Client Stakeholders COMPETENCIES & SKILL SET Must have: Python development in AI / ML and Data Analysis : Strong programming skills in Python or R, SQL Proficiency in statistical analysis and machine learning techniques Hands on experience in NLP and NLU Experience with data visualization and reporting tools (e.g., Power BI) Experience with Microsoft Power Platforms and SharePoint, including (e.g., Power Automate) Data Engineering : Expertise in designing and maintaining data pipelines and ETL processes Experience with data storage solutions (e.g. Azure SQL) Understanding of data quality and governance principles Experience with Databricks for big data processing and analytics Cloud Management : Proficiency in cloud platforms (e.g., Azure) Knowledge of hosting and supporting applications of Azure Cloud Knowledge of cloud security and compliance best practices Collaboration and Communication : Experience in agile methodologies and project management tools (e.g., Jira) Ability to translate complex technical concepts into business terms Experience working in cross-functional teams Excellent English communication skills , both written and verbal Research and Development : Ability to stay updated with the latest advancements in data science, AI/ML, and cloud technologies Experience in conducting research and improving model performance Must exhibit following core behaviors: Taking ownership / accountability of the projects assigned Flexibility to work on cross-team projects across all domains Critical thinking Self-motivated, able to work autonomously Qualifications Qualification : B Tech / M Tech /MCA, masters in computer, Data Science, AI/ML, IT, or related fields 4-5 years of relevant experience Proficiency in Python, R, cloud platforms (Azure), and data visualization tools like Power BI Advanced certifications and experience with big data technologies, real-time data processing Azure Data Scientist Associate Azure Data Engineer Associate Excellent English communication skills Experience Level Mid Level .
