Sr. Manager - AWS FTE

Job Description

Years of Experience: Candidates with 12-16 years of hands on experiencePosition Requirements:Must Have: Experience in Cloud Analytics, architecting and delivering highly scalable, distributed, cloud-based enterprise data solution Strong expertise in end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub inAWS Hands on experience in building large data repositories in Cloud 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 with rich experience in 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 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 working with cross functional and geographically separated teams Experience in technical scoping of projects, drawing delivery plans Experience in presenting technical and business executive presentations to leadership Experience in leading technical teams, guiding and mentoring team members Good analytical & problem-solving skills Good communication and presentation skills Good Project Management skills with consulting experience in Complex Program Delivery Experience in AWS services like STEP & Lambda Good understanding of Data Modeling and Data ArchitectureDesired Knowledge / Skills: Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O Knowledge in Python/Spark Certification on AWS Architecture desirable Worked in Offshore / Onsite Engagements Experience in Pre-Sales and proposal responseProfessional and Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBAAdditional Information: Travel Requirements: Travel to client locations may be required as per project requirements. Line of Service: Advisory Horizontal: Technology Consulting Designation: Senior Manager Location: Anywhere in India Key Skills: Years of Experience: Candidates with 12-16 years of hands on experiencePosition Requirements:Must Have: Experience in Cloud Analytics, architecting and delivering highly scalable, distributed, cloud-based enterprise data solution Strong expertise in end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub inAWS Hands on experience in building large data repositories in Cloud 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 with rich experience in 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 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 working with cross functional and geographically separated teams Experience in technical scoping of projects, drawing delivery plans Experience in presenting technical and business executive presentations to leadership Experience in leading technical teams, guiding and mentoring team members Good analytical & problem-solving skills Good communication and presentation skills Good Project Management skills with consulting experience in Complex Program Delivery Experience in AWS services like STEP & Lambda Good understanding of Data Modeling and Data ArchitectureDesired Knowledge / Skills: Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O Knowledge in Python/Spark Certification on AWS Architecture desirable Worked in Offshore / Onsite Engagements Experience in Pre-Sales and proposal responseProfessional and Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBAAdditional Information: Travel Requirements: Travel to client locations may be required as per project requirements. Line of Service: Advisory Horizontal: Technology Consulting Designation: Senior Manager Location: Anywhere in India,

Keyskills :
big datadata modelingdata migrationproblem solvingenterprise datadata engineeringsqlawssparkcloud