151 to 175 of 267 Permanent Amazon S3 Jobs

others through mentoring and coaching. Additional Information Our Tech Stack - (experience with all of the below is not required ) AWS: Lambda, ECS, Dynamo DB, S3, Event Bridge, SQS, SNS, API Gateway, VPC, Security Hub, Control Tower and Cloud Trail Extra: CDK as infrastructure as Code, Snowflake, LaunchDarkly , Pagerduty Programming more »

backend systems for data processing at scale within AWS. In-depth knowledge and hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch. Demonstrated expertise in implementing and maintaining Kafka-based event-driven services. Proficiency in both relational and NoSQL databases, with an understanding more »

technologies, such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt and Airflow/Dagster. Experience with Cloud providers. Familiarity with AWS S3, ECS and EC2/Fargate would be considered particularly beneficial. Extensive experience with database technologies (SQL/NoSQL). Proven ability to work collaboratively more »

Spark, Apache Spark, Apache Druid, BigQuery and Redis Familiarity with cloud technologies. Ideally AWS and technologies such as EC2, ECS, EMR, AWS Lambda, DynamoDB, S3, Kinesis, SQS, SES, Cloudwatch.... Knowledge or experience with big data technologies such as Spark, Hadoop, Redshift, Snowflake, Kafka, Flink, Druid, Clickhouse... is highly desirable. more »

backend systems for data processing at scale within AWS. In-depth knowledge and hands-on experience with foundational AWS services, such as; ALB, ECS, S3, EFS, ElastiCache, IAM, CloudWatch. Strong skills in Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation. Hands-on experience with Jenkins and more »

/sprint goals Strong experience with infrastructure as code on AWS using a wide range of AWS services; ECS and networking especially, but including S3, SQS, RDS, CloudWatch Python application or Java expert, but keen polyglot – very confident in at least one other mainstream language Comfortable with SQL and more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

needs to have an understanding of Data modelling Principles & best practices and also needs prior experience leading a data engineering team. Key Tech: - AWS (S3, Glue, EMR, Athena, Lambda) - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge more »

with enterprise direction. Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.) or similar native Azure or GCP services. Strong experience on Snowflake or DataBricks (including PySpark) along with tools like more »

trading, fixed income, market risk Good knowledge of database design and data structures Proficiency with SQL-related technologies Knowledge of AWS such as ECS, S3, DynamoDB Evidence of exceptional analytical and problem-solving skills High attention to detail and ability to work on multiple fast-paced projects simultaneously Proactive more »

s Cross office) at least once a month. Work using managed, serverless services in AWS (Lambda, IoT/MQTT, API Gateway, MongoDB Atlas, DynamoDb, S3). Code using a Node.JS stack - mainly TypeScript, with some JavaScript and React, in an automated test-first environment. Work closely with product managers more »

validate datasets from a variety of global sources using Python, C, or C++ and storing resultant datasets both on-prem and in the cloud (S3) Engage with stakeholders across Optiver globally to build data solutions that meet the business needs Ensure that end-to-end data solutions are deployed more »

identifying the necessary edge cases that need to be tested in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik more »

knowledge on data standardization, transformation, cleansing and best practices to apply on high volume data Good knowledge on AWS with AWS components like EC2,S3, IAM etc Strong business acumen that enables the ability to develop strategy, process capabilities, and enabling database technologies Experienced in creating highly available systems more »

to quality and are committed to delivering the best experience possible to our users. We Use and Teach: AWS for infrastructure, specifically EKS, RDS, S3 and Lambda . Terragrunt and Terraform for infrastructure orchestration. DataDog for monitoring. Docker to package our services into containers. Git for managing change. TypeScript … React and Node .js for our platform. Core Skills: AWS, Terraform, Datadog, Docker, Typescript Other Skills: Git, React, Node.js, S3, AWS Lambda Seniority: Lead #J-18808-Ljbffr more »

Hybrid Package: Competitive + Benefits Start Date: ASAP Permanent Role: Yes Responsibilities: Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift Deliver on-site technical engagements with customers. This includes more »

solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates … is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s … deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English PREFERRED QUALIFICATIONS - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) - PhD degree in Computer Science, or related technical, math, or scientific field - Proven knowledge of Generative AI and hands-on experience of more »

Design and develop new software and web applications, modeling, simulation, and testing using Python; work with AWS cloud services, including API Gateway, Lambda, DynamoDB, S3, CW logs, CW insight queries, ECS, and CW dashboards; use Boto3 to access AWS resources; write Shell Scripts to build and deploy pipelines, execute … or related technical field, and two (2) years of experience developing software using Python; working with AWS cloud services, including API Gateway, Lambda, DynamoDB, S3, CW logs, CW insight queries, ECS, and CW dashboards; of which one (1) year includes using Boto3 to access AWS resources; writing Shell Scripts more »

or any other related field Minimum 1 year working experience in Information Security, with proven focus in Cloud Security Deep technical knowledge of Amazon Web Services (AWS). Expertise in … Microsoft Azure and Oracle Cloud will be considered an advantage Hands-on experience on AWS services such as IAM, Organizations, SSO, VPC, Transit Gateway, S3, EC2, RDS, ELB, CloudTrail, Config, Inspector, GuardDuty, WAF, etc Clear understanding of current threats to Cloud infrastructure and advanced knowledge of securing such environments more »

CF) & Terraform templates, Windows & Linux environments, and the AWS Billing & Management Consoles. Deploying and provisioning in an production environment AWS resources including IaaS: EC2, S3, RDS, EBS, ELB, IAM, Security Groups, Cloud Watch, VPC, Route53, Subnets, Routing Tables, Internet Gateways, certificates, autoscaling groups, PaaS services: EKS, ECR, ECS, Fargate more »

maintain video monitoring and related tools to ensure optimal performance and quality of service. Cloud Infrastructure (AWS): Leverage AWS services (e.g., Media Services, CloudFront, S3) to optimize video delivery, storage, and processing. Design and implement secure video workflows on AWS, utilizing IAM roles, encryption, and other security mechanisms. Monitor more »

services such as AWS Glue, AWS Lambda, and AWS Data Pipeline. Data Storage Management : Manage and optimize data storage solutions, including Amazon S3, Amazon Redshift, and AWS RDS. Data Quality and Validation : Ensure data quality and integrity through validation and cleansing techniques. Collaboration : Work closely … a focus on AWS and cloud technologies. Technical Skills : Proficiency in programming languages such as Python, Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and more »

Design, develop, and maintain backend services and APIs using Java and Scala. Implement scalable solutions on AWS cloud platform, leveraging services such as EC2, S3, Lambda, and DynamoDB. Utilize the Spring Framework to build and manage application components, including dependency injection, data access, and transaction management. Collaborate with product more »

in our on-call rotation, and resolve production issues Continuously improve automation, monitoring and deployment processes Requirements: Experience with AWS services such as ECS, S3, RDS, Lambda, CloudFront, etc. Experience with monitoring tools like DataDog, CloudWatch, and Grafana Experience with Docker, ECS, Kubernetes or similar containerisation technologies Knowledge of more »