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Sr. AWS Data Platform Cloud Engineer

  • Source: Naukri
  • Genpact
  • $15,677.26 to $26,128.76 /yr
  • Hybrid
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Tech Lead Data Platform Cloud Engineer

Location: Hyderabad

Experience: 8-12 years

Immediate Joiners Preferred.

Mandatory Skills: AWS Cloud Infrastructure, Data Platform Engineering, Amazon Redshift Administration, Terraform Automation, Amazon Bedrock

Job Description :

  • Design, build and maintain data platform infrastructure on AWS & Databricks environment with automation tools such as Terraform, Code pipeline, Code Build and Jenkins.
  • Leverage AI tools on development (such as AWS Bedrock, Agent Core.. etc) of Infrastructure-as-code
  • Monitor & manage all aspects of system security, performance, storage, incidents, usage, backup and recovery for databases, applications, and infrastructure on AWS
  • Maintain and support Redshift Cluster and Schemas and business pipelines. Take ownership of the design, governance, performance tuning, capacity planning, data availability and operational aspects of the data solutions
  • Use your coding skills across a number of languages (such as SQL, Python and/or Java) and develop appropriate instrumentation to collect metrics on system performance, cost, data ingress/egress /storage processes
  • Work with information security and compliance teams in governing policies and procedures
  • Have a clear understanding of building observability dashboards (such as Splunk, SignalFx, Grafana.. ect) for infra and Operational monitoring
  • Coordinate infrastructure enhancements and maintenance with the system/network engineering teams
  • Perform technology evaluations and testing to introduce new technologies to be adopted by the data platform team
  • Participate in 24x7 on-call rotation to handle issues that occur outside of business hours

Requirements:

  • Good years of experience with building and maintaining distributed and high-performance production environments in large-scale consumer enterprises.
  • Development and deployment experience with most if not all of the following components of AWS in data space:
  • Management - CloudWatch (Events/Logs), IAM, CloudTrail, EC2 Systems Manager and Splunk
  • IaaS – EC2, VPC, EBS, ELB, KMS, SNS, Secrets Manager, S3 and Glacier
  • Data Management – DMS, Redshift, RDS, EMR, Data Bricks, AWS Batch, Airflow Managed Service, Glue Services and Lambda
  • CI/CD – Jenkins, AWS code pipeline, Code Build, Lambda
  • Other - Server Migration, Storage Gateway, CDN
  • Very good hands-on experience with development and deployment of above infrastructure with automation tools such as Terraform
  • Strong Redshift database administration experience would be a plus
  • Strong CS fundamentals, experience with one of the programming languages (Java, Python) and able to write pipelines for automation, metrics/data collection and system administration purposes
  • Understanding automation and orchestration platforms such as Airflow/MWAA and AWS Step Functions.
  • Ability to learn quickly and think outside of the box with excellent communication skills (written and oral).

  • Management Level : 4C
  • Primary location : 1401-G-India: Floor 1 to 12, Hafeezpet Phoenix, Hyderabad
  • Remote type : Office
  • Shift : Rotational

Skills

  • amazon-web-services
  • amazon-redshift
  • Terraform
  • bedrock
  • azure-databricks
  • databricks
  • Jenkins
  • Python
  • Java
  • egress
  • splunk
  • signalfx
  • Grafana
  • amazon-cloudwatch
  • aws-systems-manager
  • google-vpc
  • amazon-rds-for-mysql
  • amazon-emr
  • aws-batch
  • Airflow
  • apache-airflow
  • aws-glue
  • aws-lambda
  • aws-step-functions
  • ability-lms

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