760 Dynamo Db Jobs - Page 13

Educational Bachelor of Engineering,Bachelor Of Science,Bachelor Of Comp. Applications,Bachelor Of Technology,Master Of Engineering,Master Of Science,Master Of Comp. Applications,Master Of Technology Service Line Engineering Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment. You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues. You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms. You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance. You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-quality, value-adding consulting solutions to customers adhering to the guidelines and processes of the organization. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Primary skills:Technology-Data On Cloud - NoSQL-Amazon Dynamo DB,Technology-DevOps-DevOps Architecture Consultancy Preferred Skills: Technology-Cloud Platform-AWS Database Technology-DevOps-DevOps Architecture Consultancy

Skill—Java Microservices Springboot Experience4-6 Yrs Ro leT3 Responsibilities: Strong proficiency in Java (8 or higher) and Spring Boot framework. Basic foundation on AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs. Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).

Strong proficiency in Java (8 or higher) and Spring Boot framework. Basic foundation on AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs. Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).

Skill—Java Microservices Springboot Experience4-6 Yrs Ro leT3 Responsibilities: Strong proficiency in Java (8 or higher) and Spring Boot framework. Basic foundation on AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs. Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).

Skill—Java AWS Experience:6-9 Yrs Ro leT2 Responsibilities: Strong proficiency in Java (8 or higher) and Spring Boot framework. Hands-on experience with AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs.ac Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Knowledge of containerization (Docker) and orchestration tools (ECS/Kubernetes) is a plus. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).Develop and maintain robust backend services and RESTful APIs using Java and Spring Boot. Design and implement microservices that are scalable, maintainable, and deployable in AWS. Integrate backend systems with AWS services including but not limited to Lambda, S3, DynamoDB, RDS, SNS/SQS, and CloudFormation. Collaborate with product managers, architects, and other developers to deliver end-to-end features. Participate in code reviews, design discussions, and agile development processes.

Bachelors degree in Computer Science or related field, or equivalent practical experience. 3 to 5 years of hands-on experience in Java development, especially with Spring Boot. Experience working with AWS cloud services in a development environment. Knowledge of RESTful APIs, microservices, and distributed systems. Familiarity with CI/CD pipelines and version control tools such as Git. Strong problem-solving skills and a collaborative mindset. Design, develop, and deploy backend services and APIs using Java and Spring Boot. Develop and integrate applications with AWS services such as Lambda, S3, RDS, API Gateway, DynamoDB, and SQS. Write clean, maintainable, and testable code following best practices. Collaborate with cross-functional teams to define, design, and deliver new features. Participate in code reviews, unit testing, and CI/CD pipeline processes. Troubleshoot issues and improve performance, reliability, and scalability of existing systems. Ensure security, compliance, and performance standards are met across deployments

Strong proficiency in Java (8 or higher) and Spring Boot framework. Hands-on experience with AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs. Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Knowledge of containerization (Docker) and orchestration tools (ECS/Kubernetes) is a plus. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).

Bachelors degree in Computer Science, Engineering, or related field. 10 plus years of professional experience in Java development. 3+ years of experience designing and developing solutions in AWS cloud environments. Strong expertise in Java 8+, Spring Boot, RESTful API design, and microservices architecture. Hands-on experience with key AWS servicesLambda, API Gateway, S3, RDS, DynamoDB, ECS, SNS/SQS, CloudWatch. Solid understanding of infrastructure-as-code (IaC) tools like Terraform, AWS CloudFormation, or CDK. experience with Agile/Scrum, version control (Git), and CI/CD pipelines. Strong communication and leadership skills, including leading distributed development teams. Lead end-to-end technical delivery of cloud-native applications built on Java and AWS. Design and architect secure, scalable, and resilient systems using microservices and serverless patterns. Guide the team in implementing solutions using Java (Spring Boot, REST APIs) and AWS services (e.g., Lambda, API Gateway, DynamoDB, S3, ECS, RDS, SNS/SQS). Participate in code reviews, ensure high code quality, and enforce clean architecture and design principles. Collaborate with DevOps engineers to define CI/CD pipelines using tools such as Jenkins, GitLab, or AWS CodePipeline. Mentor and coach developers on both technical skills and Agile best practices. Translate business and technical requirements into system designs and implementation plans. Ensure performance tuning, scalability, monitoring, and observability of deployed services. Stay current with new AWS offerings and Java development trends to drive innovation.

Java 17/21, Spring Boot 3,DSA,Postgresql, System Design, AWS, Data Migration, Microservice Architecture, Angular 17/18, HTML/CSS/JavaScript, Agile Methodology Demonstrable experience in OO design and development role on a medium to large, enterprise-scale software program. Demonstrable experience in Enterprise Applications Integration The engineer must be familiar or have experience with Enterprise Integration Patterns, EAI, SOA, EDA architectures and their main principles Skilled in Web Services development such as RESTful web services. Candidates must be able to demonstrate experience in the following: AWS (EC2, Lambdas, DynamoDB, IAM, S3, RDS) Working with RDMS and NoSQL databases.

Experience with Node.js and other backend technologies Hands-on development on frameworks like Angular Solid understanding of Databases. Exposure to NoSQL databases like DynamoDB, MongoDB Have used Github, GitLab, Bitbucket, or other source control tools

14+ years of technical and/or management consulting experience architecting enterprise and application solutions w.r.to designing, developing, and implementing business applications on AWS based solutions. Solid knowledge of Java/Open Source and Cloud Native Application development, including experience working on initiatives that included full stack development of multi-tiered distributed systems implemented based on clean architecture patterns, involving complex business domains, either relational or non-relational persistent storage, and web or desktop user interfaces (e.g. React). AWS based Cloud native application architectures (containers, microservices, serverless, PaaS, API Management etc) Container orchestration systems (i.e. Docker, Kubernetes, ECS, EKS). Java programming language skills with one or more from the listJavaScript, Typescript, Python Strong Database skills around RDS, Aurora, DynamoDB, MongoDB Continuous integration technologies (e.g. Jenkins, Spinnaker, Chef, Puppet) DevOps toolingCloud Formation, Terraform, Ansible, Jenkins, Puppet, Chef, GitHub Experience building systems with high security standards. Familiarity with common vulnerabilities and attack vectors and how to prevent them. Experience building cloud native applications or migrating applications to the cloud. Ability to mentor team members to improve their understanding of good software design practice and implementation strategy (CICD, test automation etc.). Excellent written and verbal communication skills with ability to tailor message to audience. Ability to communicate sophisticated technology concepts to non-technical audiences. Ability to build consensus and align teams on strategic architectural direction and technical decisions. Solid understanding of and ability to communicate objectives and benefits of modern architectural standards, patterns, and practices.

P1-C3-STS Seeking a developer who has good Experience in Athena, Python code, Glue, Lambda, DMS , RDS, Redshift Cloud Formation and other AWS serverless resources. Can optimize data models for performance and efficiency. Able to write SQL queries to support data analysis and reporting Design, implement, and maintain the data architecture for all AWS data services. Work with stakeholders to identify business needs and requirements for data-related projects Design and implement ETL processes to load data into the data warehouse Good Experience in Athena, Python code, Glue, Lambda, DMS , RDS, Redshift, Cloud Formation and other AWS serverless resources Cloud Formation and other AWS serverless resources

Minimum 6 years of hands-on experience in data engineering or big data development roles. Strong programming skills in Python and experience with Apache Spark (PySpark preferred). Proficient in writing and optimizing complex SQL queries. Hands-on experience with Apache Airflow for orchestration of data workflows. Deep understanding and practical experience with AWS services: Data Storage & ProcessingS3, Glue, EMR, Athena Compute & ExecutionLambda, Step Functions DatabasesRDS, DynamoDB MonitoringCloudWatch Experience with distributed data processing, parallel computing, and performance tuning. Strong analytical and problem-solving skills. Familiarity with CI/CD pipelines and DevOps practices is a plus.

Strong proficiency in Java (8 or higher) and Spring Boot framework. Basic foundation on AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs. Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).

Data Engineer Must have 9+ years of experience in below mentioned skills. Must HaveBig Data Concepts Python(Core Python- Able to write code), SQL, Shell Scripting, AWS S3 Good to HaveEvent-driven/AWA SQS, Microservices, API Development,Kafka, Kubernetes, Argo, Amazon Redshift, Amazon Aurora

JD for Data Engineering Lead - Python: Data Engineering Lead with at least 7 to 10 years experience in Python with following AWS Services AWS servicesAWS SQS, AWS MSK, AWS RDS Aurora DB, BOTO 3, API Gateway, and CloudWatch. Providing architectural guidance to the offshore team,7-10, reviewing code and troubleshoot errors. Very strong SQL knowledge is a must, should be able to understand & build complex queries. Familiar with Gitlab( repos and CI/CD pipelines). He/she should be closely working with Virtusa onshore team as well as enterprise architect & other client teams at onsite as needed. Experience in API development using Python is a plus. Experience in building MDM solution is a plus.

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scala ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Developed Python and pyspark programs for data analysis. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations. Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have 5+ years exp in Big Data -Hadoop Spark -Scala ,Python Hbase, Hive Good to have Aws -S3, athena ,Dynomo DB, Lambda, Jenkins GIT Developed Python and pyspark programs for data analysis. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations. Preferred technical and professional experience Understanding of Devops. Experience in building scalable end-to-end data ingestion and processing solutions Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

Skill—Java AWS Experience:6-9Yrs Ro leT2 Responsibilities: Strong proficiency in Java (8 or higher) and Spring Boot framework. Hands-on experience with AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs.ac Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Knowledge of containerization (Docker) and orchestration tools (ECS/Kubernetes) is a plus. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).Develop and maintain robust backend services and RESTful APIs using Java and Spring Boot. Design and implement microservices that are scalable, maintainable, and deployable in AWS. Integrate backend systems with AWS services including but not limited to Lambda, S3, DynamoDB, RDS, SNS/SQS, and CloudFormation. Collaborate with product managers, architects, and other developers to deliver end-to-end features. Participate in code reviews, design discussions, and agile development processes.

1. ETLHands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica 2. Big DataExperience of big data platforms such as Hadoop, Hive or Snowflake for data storage and processing 3. Data Warehousing & Database ManagementUnderstanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design 4. Data Modeling & DesignGood exposure to data modeling techniques; design, optimization and maintenance of data models and data structures 5. LanguagesProficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala 6. DevOpsExposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Ab InitioExperience developing CoOp graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, ExpressIT, Data Profiler and ConductIT, ControlCenter, ContinuousFlows CloudGood exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & ControlsExposure to data validation, cleansing, enrichment and data controls ContainerizationFair understanding of containerization platforms like Docker, Kubernetes File FormatsExposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta OthersBasics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage.

Strong proficiency in Java (8 or higher) and Spring Boot framework. Hands-on experience with AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs. Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Knowledge of containerization (Docker) and orchestration tools (ECS/Kubernetes) is a plus. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).

Strong proficiency in Java (8 or higher) and Spring Boot framework. Hands-on experience with AWS services such as EC2, Lambda, API Gateway, S3, CloudFormation, DynamoDB, RDS. Experience developing microservices and RESTful APIs.ac Understanding of cloud architecture and deployment strategies. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Knowledge of containerization (Docker) and orchestration tools (ECS/Kubernetes) is a plus. Experience with monitoring/logging tools like CloudWatch, ELK Stack, or Prometheus is desirable. Familiarity with security best practices for cloud-native apps (IAM roles, encryption, etc.).Develop and maintain robust backend services and RESTful APIs using Java and Spring Boot. Design and implement microservices that are scalable, maintainable, and deployable in AWS. Integrate backend systems with AWS services including but not limited to Lambda, S3, DynamoDB, RDS, SNS/SQS, and CloudFormation. Collaborate with product managers, architects, and other developers to deliver end-to-end features. Participate in code reviews, design discussions, and agile development processes.

Urgent Opening for AWS developer- Bangalore Posted On 01st Feb 2020 12:16 PM Location Bangalore Role / Position AWS Developer Experience (required) 2-5 yrs Description Our Client is a leading Big Data analyticscompany having its headquarter in Bangalore DesignationAWS Developer LocationBangalore Experience 2-5 yrs AWS certified with solid 1+ years experiencein Production environment Candidate Profile AWS certified candidate with 1+ yr experience of working in production environment is the specific ask. Within AWS, the key needs are working knowledge on Kinesis (streaming data), Redshift / RDS ( Querying), Dynamo DBNo SQL DB. Send Resumes to girish.expertiz@gmail.com -->Upload Resume

Immediate Job Openings on VMWare _ Pan India_ Contract Experience 9+ Years Skill VMWare Location Pan India Notice Period Immediate . Employment Type Contract VMWare Expert in IaC using CloudFormation and Terraform (2-3Yrs) - Experiance with Containers Services (K8S, EKS, Fargate) - Very Good understanding of Cloud observability using CloudWatch - Experience in automation techniques and architectures using EventBridge , System Manager and Lambda in Vmware ( 3-4Yrs) - Understanding of enterprise integration patterns and practices (like event-driven architectures) (4-5Yrs) - Expert in software development practices including source code management (Git), Agile principles, Scrum and Kanban (6-7Yrs) - Good knowledge of CI/CD practices and tools with Vmware and Git (4-5Yrs) - Experience in working with Ansible and Jenkins

Roles and Responsibility Design, implement, and manage scalable and secure cloud infrastructure on AWS. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain technical documentation for cloud infrastructure and applications. Troubleshoot and resolve complex technical issues related to cloud infrastructure. Ensure compliance with industry standards and best practices for cloud security and governance. Participate in code reviews and contribute to the improvement of the overall code quality. Job Requirements Strong understanding of cloud computing concepts, including IaaS, PaaS, and SaaS. Experience with AWS services such as EC2, RDS, S3, Lambda, and CloudFormation. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills, with experience working with distributed teams. Ability to design and implement scalable and secure cloud infrastructure. Experience with version control systems such as Git.