Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions

Strong expertise in end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS

Proficient in Lambda and Kappa Architectures

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

Good knowledge on AWS 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 Migration processes, methods and project lifecycle

Good analytical problem-solving skills

Good communication and presentation skills