Job Description:

In this role, you will Design and deploy scalable, highly available, and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift)

Responsibilities

• Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness.
• Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms.
• Migrate the application data from legacy databases to Cloud-based solutions (Redshift, DynamoDB, etc) for high availability with low cost.
• Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc.
• Build data pipelines by building ETL processes (Extract-Transform-Load)
• Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data.
• Responsible for analyzing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs.
• Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, converting the business requirements into technical requirements.
• Participating in design reviews to provide input on functional requirements, product designs, schedules, and/or potential problems.
• Understand current application infrastructure and suggest Cloud-based solutions that reduce operational costs, require minimal maintenance, and provides high availability with improved security.
• Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way.
• Coordinate with release management, and other supporting teams to deploy changes in production environment.

Minimum Qualifications

• Bachelor's degree in computer science, engineering, or a related field (or equivalent work experience).
• Strong experience in designing, implementing, and managing AWS data services.
• Working experiences in implementing data lake using services like Glue, Lambda, Step, Redshift
• Experience with Databricks will be an added advantage.
• Strong experience in Python and SQL
• Strong understanding of security principles and best practices for cloud-based environments.
• Experience with monitoring tools and implementing proactive measures to ensure system availability and performance.
• Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

Preferred Qualifications/skills

• Master’s Degree-Computer Science, Electronics, Electrical.
• AWS Data Engineering & Cloud certifications, Databricks certifications
• Experience with multiple data integration technologies and cloud platforms.
• Knowledge of Change & Incident Management process