• Come up with architecture and design on various aspects like extensibility, scalability, security, design patterns etc., against a predefined checklist and ensure that all relevant best practices are followed
• Execute POCs to make sure that suggested design/technologies meet the requirements
• Possess/acquire strong troubleshooting skills and be interested in performing. Troubleshooting of issues in different desperate technologies and environments

• Architecting with modern technology stack and Designing Public Cloud Application leveraging in Azure

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate degree or equivalent experience
• Experience with big data technologies, such as Apache Hadoop and Apache Spark
• Experience with cloud computing platforms, such as Amazon Web Services (AWS) and Microsoft Azure
• Experience with data security and privacy concerns
• Knowledge of data warehousing principles and best practices
• Familiarity with data modeling and data management techniques
• Familiarity with software development principles and agile methodologies
• Solid programming skills, particularly in languages commonly used for data engineering, such as Python, Java, and SQL
• Proven solid problem-solving and critical thinking abilities
  • Proven excellent communication and collaboration skills