Strong AWS hands-on expertise with a programming background preferably Python/Scala
Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
Strong experience in AWS compute services like AWS EMR, Glue and Sagemaker and storage services like S3, Redshift &
Dynamodb
Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK
Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming
Experience in one of the flow tools like Airflow, Nifi or Luigi
Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich
experience in source code management like Code Pipeline, Code Build and Code Commit
Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules
Good knowledge in AWS Security and AWS Key management
Strong understanding of Cloud data migration processes, methods and project lifecycle
Business / domain knowledge in one of the domains -Financial Services/ Healthcare/ Consumer Market/Industrial
Products/ Telecommunication,Media and Technology /Deal advisory along with technical expertise
Experience in leading technical teams, guiding and mentoring team members
Good understanding of Data Modeling and Data Architecture
Good analytical & problem-solving skills
Good communication and presentation skills
Salary: Not disclosed
Industry: IT / Software
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