- Design and deploy scalable, highly available, and faulttolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift)
- Monitor and optimize the performance of cloud resources to ensure efficient utilization and costeffectiveness.
- 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 cloudbased services like Amazon AWS, etc.
- Build data pipelines by building ETL processes (Extract-TransformLoad)
- Implement backup, disaster recovery, and business continuity strategies for cloudbased 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
- 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 cloudbased environments.
- Experience with monitoring tools and implementing proactive measures to ensure system availability and performance.
- Excellent problemsolving skills and ability to troubleshoot complex issues in a distributed, cloudbased environment.
- Strong communication and collaboration skills to work effectively with crossfunctional teams.)
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Principal Consultant - Delhi, India - KARYA CONSULTANTS PRIVATE LIMITED
Description
Responsibilities :
Minimum Qualifications :