Software Engineer

• Design, develop, test, and deploy software applications using .NET and Python.
• Work with SQL and NoSQL databases to manage structured and unstructured data.
• Collaborate with architects to implement complex technical solutions.
• Contribute to enterprise platforms like Dynamics 365 Marketing and implement GenAI solutions.
• Engage in data engineering tasks using tools like Microsoft Fabric and Apache Spark.
• Utilize machine learning techniques such as BERT and classifiers to enhance existing systems.
• Develop insightful PowerBI reports to support business analytics.
• Stay current with evolving technologies and industry trends

Technical Competency

• • Bachelor s or master s degree in computer science, Information Technology, or a related field.
  • 3-5 years of experience in .NET, Python, cloud platforms (Azure, GCP, AWS), SQL/NoSQL databases, data engineering, machine learning, and PowerBI.
  • Proficiency in .NET and Python programming.
  • Strong understanding of SQL and NoSQL databases.
  • Experience with cloud platforms like Microsoft Azure, GCP, and AWS.
  • Knowledge of data engineering tools such as Microsoft Fabric and Apache Spark.
  • Familiarity with machine learning concepts, including BERT and transformers.

Must have Skills and Experience:

• Strong programming skills in .NET and Python.
• Solid understanding of SQL and NoSQL databases.
• Ability to learn new technologies quickly.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork skills.

Functional Competency

• Ability to collaborate with cross-functional teams to implement technical requirements.
• Strong problem-solving and analytical skills for innovative solutions.
• Excellent communication and teamwork capabilities.
• Experience contributing to enterprise-level platforms like Dynamics 365 Marketing.
• Capability to create actionable insights through PowerBI reporting.