Lead Consultant - Data Engineer AWS+ Python

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