AWS Cloud Engineer Female Graduate Jobs in Pune

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  • 5 - 10 yrs
  • 12.0 Lac/Yr
  • Pune
AWS Services Python SQL Terraform
Key ResponsibilitiesAdminister and support AWSbased data platforms across development test staging and production environmentsManage services such as Amazon S3 Redshift RDSAurora Glue EMR Athena Lake Formation Kinesis Lambda DMS Step Functions and CloudWatchProvision and configure cloud resources using infrastructureascode tools such as Terraform AWS CloudFormation or AWS CDKImplement identity and access controls using IAM roles policies permission boundaries AWS Organizations and service control policiesMonitor platform health capacity job execution data pipelines storage and query performance proactively identify and resolve issuesPerform incident problem change release and servicerequest management in accordance with defined SLAs and ITIL practicesOptimize Redshift clusters SparkEMR workloads storage tiers data transfer and compute consumption for performance and costImplement backup recovery highavailability businesscontinuity and disasterrecovery controls conduct periodic restoration and failover testsSecure data using encryption key management private networking secrets management logging vulnerability remediation and leastprivilege accessEnable data governance through cataloging lineage classification access auditing retention and lifecyclemanagement controlsBuild operational automation using Python Shell scripting AWS CLI SDKs and CICD pipelinesMaintain platform standards runbooks architecture diagrams configuration records SOPs troubleshooting guides and audit evidencePartner with data engineers architects security teams application teams FinOps and business stakeholders on onboarding migrations upgrades and capacity planningProvide technical leadership mentor junior administrators coordinate vendor support and drive rootcause analysis and continuous improvementRequired Technical SkillsStrong handson administration experience with AWS data analytics compute storage networking security and monitoring servicesDeep understanding of data lake data warehouse lakehouse batchprocessing and streaming architecturesExperience administering Amazon Redshift including workload management query tuning distribution and sort strategies scaling snapshots and securityExperience with AWS Glue Data Catalog crawlers jobs workflows and Lake Formation permissionsWorking knowledge of Apache Spark and Amazon EMR administration troubleshooting scaling and performance tuningStrong knowledge of Amazon S3 design bucket policies lifecycle rules versioning replication encryption and access controlsProficiency in IAM KMS Secrets Manager VPC security groups private endpoints CloudTrail CloudWatch AWS Config and GuardDutyExperience with Terraform or CloudFormation and CICD tools such as AWS CodePipeline Jenkins GitHub Actions Azure DevOps or GitLab CICDProficiency in Python and Shell scripting for administration monitoring deployment and remediation automationStrong SQL skills and familiarity with relational databases data modeling ETLELT patterns and data integrationKnowledge of observability log analytics ing backup disaster recovery patching and productionsupport practicesUnderstanding of cloud costmanagement practices tagging standards budgets usage analysis and rightsizingQualificationsBachelors degree in Computer Science Information Technology Engineering or a related discipline7 years of overall experience in cloud infrastructure data platform administration database administration or data engineering operationsAt least 4 years of handson experience supporting AWS environments including production data and analytics workloadsDemonstrated experience operating highly available secure and scalable enterprise platformsStrong troubleshooting rootcause analysis documentation communication and stakeholdermanagement skillsAbility to participate in oncall support and planned maintenance activities when requiredSkillsMandatory Skills : AWS EC2, AWS Glue, AWS Lambda, AWS S3Good to Have Skills : AWS Well Architected ToolsRemote
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AWS Engineer - Full Time

Novacred Private Limited

  • 1 - 3 yrs
  • Pune
AWS Services React Js Node Js AI Trainer
Develop and maintain web applications using React.js and Node.js.Design, deploy, and manage applications on AWS.Build and integrate AI-powered features and APIs.Develop RESTful APIs and ensure application performance and scalability.Collaborate with cross-functional teams to deliver high-quality solutions.
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Glue Lamda ETL
3+ years of AWS data engineering: Glue, Step Functions, Lambda, S3, DynamoDB, EC2Strong Python (boto3) scripting for automationTerraform or CloudFormation expertiseHands-on experience integrating RAG workflows or deploying LLM applicationsSolid SQL and NoSQL data-modeling skillsExcellent written and verbal communication in client-facing contexts
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AWS Data Engineer

Hexaware Technologies

SQL AWS Python ETL TERRAFORM LAMDA
Work Mode: Hybrid6-9 years of overall IT experience, preferably in cloud environments.Minimum of 5 years of hands-on experience with AWS cloud development projects.Design and develop AWS data architectures and solutions.Build robust data pipelines and ETL processes using big data technologies.Utilize AWS data services such as Glue, Lambda, Redshift, and Athena effectively.Implement infrastructure as code (IaC) using Terraform.Proficiency in SQL, Python, and other relevant programming/scripting languages.Experience with orchestration tools like Apache Airflow or AWS Step Functions.Strong understanding of data warehousing concepts, data lakes, and data governance frameworks.Expertise in data modeling for both relational and non-relational databases.Excellent communication skills are essential for this role.
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AWS Engineer

Optimeyes

  • 0 - 2 yrs
  • Pune
Linux AWS Devops Engineer
Responsible for the maintenance, configuration, and reliable operation of computer systems, network servers, and virtualization Install and upgrade computer components and software, manage virtual servers, and integrate automation processes Set up accounts and workstations. Monitor performance and maintain systems according to requirements. Ensure security through access controls, backups and firewalls Troubleshoot hardware and software errors by running diagnostics, documenting problems and resolutions, prioritizing problems, and assessing impact of issues Provide documentation and technical specifications to IT staff for planning and implementing new or upgrades of IT infrastructure
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Hiring For AWS Data Engineer

Right Time Placement

Data Engineer Data Architect AWS Data Warehousing
Job Description AWS Data Engineer with min of 5 to 7 years of experience. Collaborate with business analysts to understand and gather requirements for existing or new ETL pipelines. Connect with stakeholders daily to discuss project progress and updates. Work within an Agile process to deliver projects in a timely and efficient manner. Design and develop Airflow DAGs to schedule and manage ETL workflows. Transform SQL queries into Spark SQL code for ETL pipelines. Develop custom Python functions to handle data quality and validation. Write PySpark scripts to process data and perform transformations. Perform data validation and ensure data accuracy and completeness by creating automated tests and implementing data validation processes. Run Spark jobs on AWS EMR cluster using Airflow DAGs. Monitor and troubleshoot ETL pipelines to ensure smooth operation. Implement best practices for data engineering, including data modeling, data warehousing, and data pipeline architecture. Collaborate with other members of the data engineering team to improve processes and implement new technologies. Stay up to date with emerging trends and technologies in data engineering and suggest ways to improve the team's efficiency and effectiveness.
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