Responsibilities
•    Design and deploy scalable, highly available, and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift) 
•    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 analysing 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, convert 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 which reduces operational cost, requires minimal maintenance but 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, other supporting teams to deploy changes in production environment 

Qualifications we seek in you!
Minimum Qualifications
•    Experience in designing, implementing data pipelines, build data applications, data migration on AWS 
•    Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift 
•    Experience of Databricks will be 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 of working with Oracle ERP 
•    Experience with multiple data integration technologies and cloud platforms  
•    Knowledge of Change & Incident Management process