Lead Consultant-Data Engineer

Inviting applications for the role of Lead Consultant-Data Engineer

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