104 Lamda Jobs - Page 4

"Full Stack develope with AWS Serverless Development experience is must along with AWS Services (Lambda, S3(Mandatory), Node.Js, Typescript, React/Anular12+, CDK, API Gateway, Congnito.

4 to 7 year experience on AWS Data Engineering,2 end to end Data Engineering projects, ETL,Data Quality and Governance,Collaboration,Big Data Technologies, S3, Glue, EMR, Redshift, and Lambda.Proficiency in SQL and database design. Hadoop and Spark.

4 to 7 year experience on AWS Data Engineering,2 end to end Data Engineering projects, ETL,Data Quality and Governance,Collaboration,Big Data Technologies, S3, Glue, EMR, Redshift, and Lambda.Proficiency in SQL and database design. Hadoop and Spark.

"Full Stack develope with AWS Serverless Development experience is must along with AWS Services (Lambda, S3(Mandatory), Node.Js, Typescript, React/Anular12+, CDK, API Gateway, Congnito.

4 to 7 year experience on AWS Data Engineering,2 end to end Data Engineering projects, ETL,Data Quality and Governance,Collaboration,Big Data Technologies, S3, Glue, EMR, Redshift, and Lambda.Proficiency in SQL and database design. Hadoop and Spark.

"Full Stack develope with AWS Serverless Development experience is must along with AWS Services (Lambda, S3(Mandatory), Node.Js, Typescript, React/Anular12+, CDK, API Gateway, Congnito.

4 to 7 year experience on AWS Data Engineering,2 end to end Data Engineering projects, ETL,Data Quality and Governance,Collaboration,Big Data Technologies, S3, Glue, EMR, Redshift, and Lambda.Proficiency in SQL and database design. Hadoop and Spark.

"Full Stack develope with AWS Serverless Development experience is must along with AWS Services (Lambda, S3(Mandatory), Node.Js, Typescript, React/Anular12+, CDK, API Gateway, Congnito.

4 to 7 year experience on AWS Data Engineering,2 end to end Data Engineering projects, ETL,Data Quality and Governance,Collaboration,Big Data Technologies, S3, Glue, EMR, Redshift, and Lambda.Proficiency in SQL and database design. Hadoop and Spark.

"Full Stack develope with AWS Serverless Development experience is must along with AWS Services (Lambda, S3(Mandatory), Node.Js, Typescript, React/Anular12+, CDK, API Gateway, Congnito.

"Full Stack develope with AWS Serverless Development experience is must along with AWS Services (Lambda, S3(Mandatory), Node.Js, Typescript, React/Anular12+, CDK, API Gateway, Congnito.

4 to 7 year experience on AWS Data Engineering,2 end to end Data Engineering projects, ETL,Data Quality and Governance,Collaboration,Big Data Technologies, S3, Glue, EMR, Redshift, and Lambda.Proficiency in SQL and database design. Hadoop and Spark.

"Full Stack develope with AWS Serverless Development experience is must along with AWS Services (Lambda, S3(Mandatory), Node.Js, Typescript, React/Anular12+, CDK, API Gateway, Congnito.

"Full Stack develope with AWS Serverless Development experience is must along with AWS Services (Lambda, S3(Mandatory), Node.Js, Typescript, React/Anular12+, CDK, API Gateway, Congnito.

We are looking for ETL Architect || Immediate Joiner Remote work- 5 Working Days Duration: Permanent-Fulltime. We are seeking a highly skilled and experienced ETL (Extract, Transform, Load) Technical Architect with expertise in AWS (Amazon Web Services) and PySpark to join our team. As the ETL Technical Architect, you will play a crucial role in designing and implementing ETL solutions that support data integration, transformation, and loading processes. Your deep knowledge of AWS services and PySpark will be instrumental in building scalable and efficient data pipelines. Requirements:- Architect ETL solutions: Design end-to-end ETL solutions that align with business requirements, ensuring scalability, reliability, and performance. Data Modeling: Define and implement data models, schemas, and structures to support efficient data processing and storage. ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines using PySpark, leveraging AWS Glue or other relevant AWS services. AWS Integration: Integrate ETL processes with various AWS services, such as S3, Redshift, Athena, and EMR, to create a comprehensive data ecosystem. Performance Optimization: Identify and resolve performance bottlenecks in ETL processes, optimizing data extraction, transformation, and loading for efficiency. Data Quality and Governance: Implement data quality checks and governance policies to ensure data accuracy and compliance with industry standards and regulations. Monitoring and Troubleshooting: Set up monitoring and alerting systems to proactively identify and address issues within the ETL pipelines. Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand their data requirements and ensure successful data delivery. Documentation: Create and maintain technical documentation, including architecture diagrams, data flow diagrams, and standard operating procedures. Stay Current: Keep up-to-date with the latest ETL, AWS, and PySpark developments and best practices, and apply them to enhance existing processes. Qualifications:- 1) Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. 2) Proven experience as an ETL Technical Architect with a strong focus on AWS and PySpark. 3) In-depth knowledge of AWS services, including but not limited to S3, Redshift, Athena, EMR, and Glue. 4) Proficiency in PySpark and related Big Data technologies for ETL processing. 5) Strong SQL skills for data manipulation and querying. 6) Familiarity with data warehousing concepts and dimensional modeling. 7) Experience with data governance, data quality, and data security practices. 8) Excellent problem-solving skills and attention to detail. 9) Strong communication and collaboration skills to work effectively with cross-functional teams. 10) AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Big Data) are a plus.

Job Description Key Responsibilities: Full Stack Development: Design, develop, and maintain web applications using .NET technologies, including .NET Core and ASP.NET Web API. Build and maintain front-end applications using Angular 10+ versions. Implement responsive and user-friendly UI features, ensuring seamless user experience across devices. Cloud Development and Management: Utilize AWS services (S3, Lambda, EC2, CloudWatch) for hosting, deployment, and monitoring of applications. Work with AWS services for automation, infrastructure management, and scaling solutions. Backend Development & API Design: Develop robust backend APIs using .NET 4.6.1 / .NET Core 3, ensuring high performance and security. Integrate third-party APIs and services into applications, ensuring scalability and reliability. Code Quality & CI/CD: Implement best practices for code quality and standards. Use tools like SonarQube to ensure the code is free from errors, and maintain high-quality standards. Work with Jenkins for continuous integration and continuous deployment (CI/CD), ensuring smooth deployments and minimal downtime. Collaboration and Agile Practices: Collaborate effectively with cross-functional teams, including designers, product managers, and other developers. Use Agile methodologies for efficient development, and actively participate in sprint planning, standups, and retrospectives. Track and manage tasks using Jira, ensuring all tasks are completed on time and according to project requirements. Version Control & Docker: Manage source code and collaborate with the team using Git for version control. Use Docker for containerization and deployment, ensuring consistent environments across development, staging, and production. Required Skills & Qualifications: Experience in Full Stack Development: Proven experience as a full-stack developer using .NET technologies (e.g., .NET 4.6.1, .NET Core 3, ASP.NET Web API 2). Frontend Technologies: Strong hands-on experience with Angular 10+ and other front-end technologies. Cloud Technologies: Hands-on experience working with AWS services such as S3, Lambda, CloudWatch, and EC2. CI/CD & Code Quality: Experience with tools like Jenkins, SonarQube, and other DevOps practices. Version Control & Collaboration Tools: Experience using Git for version control and Jira for task tracking. Containerization: Knowledge of Docker for creating and managing containerized applications. Strong Problem-Solving Skills: Ability to troubleshoot, debug, and optimize both front-end and back-end issues. Team Player: Strong communication skills and the ability to collaborate effectively in a team-oriented environment. Preferred Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. Experience with other cloud platforms or services is a plus. Familiarity with Agile methodologies and Scrum practices. Familiarity with additional tools such as Kubernetes, Terraform, or other infrastructure automation tools. Why Join Us? Competitive salary and benefits. Opportunity to work with cutting-edge technologies in a dynamic and innovative team. Career growth opportunities with mentorship and training programs. A collaborative work environment where your input is valued and your contributions make a difference. Roles and Responsibilities Job Title .Net AWS Developer Mandatory Skills .net core, aws, Lamda, amazon ec2, lambda expressions. Asp.net core, WEB Api, Angular, Desirable Skills .net fullstack, C#, ASP.Net, Aws Cloud

Warm Greetings from SP Staffing!! Role:AWS Devops Experience Required :6 to 10 yrs Work Location :Bangalore/Pune/Chennai Required Skills, AWS Terraform Ansible Interested candidates can send resumes to nandhini.spstaffing@gmail.com

Job Description: 1. Candidate should have good experience in all the functionalities of Dataiku 2. Should have previous exposure handling large data sets using Dataiku and preparing and calculating data. 3. Should be able to write queries to extract and connect from RDBSM/Data lake and any other manual datasets 4. Most importantly, should be able to understand existing developments and take over with minimal handover. 5. Must be expert in Excel as well given all of the information produced in mostly furnished in excel at the right level of detail to the stakeholders for validation and discussions 6. Must have a eye for accuracy ensuring the flows are robust. 7. Banking process knowledge is a good to have Note: Kindly go through the JD and apply accordingly, its for PAN India Hiring

We are hiring for Data Engineer for Hyderabad Location. Please find the below Job Description. Role & responsibilities 6+ years of experience in data engineering, specifically in cloud environments like AWS. Proficiency in Python and PySpark for data processing and transformation tasks. Solid experience with AWS Glue for ETL jobs and managing data workflows. Hands-on experience with AWS Data Pipeline (DPL) for workflow orchestration. Strong experience with AWS services such as S3, Lambda, Redshift, RDS, and EC2. Deep understanding of ETL concepts and best practices.. Strong knowledge of SQL for querying and manipulating relational and semi-structured data. Experience with Data Warehousing and Big Data technologies, specifically within AWS.

Position Overview: Results-driven Cloud & Solutions Architect with five years of deep technical expertise in architecting, implementing, and securing scalable, resilient cloud environments, primarily on Amazon Web Services (AWS). AWS certifications, including specialties in Security, Advanced Networking, DevOps and strategic mindset to designing high impact cloud solutions that align with business objectives. The candidate should be passionate for continuous learning, strong foundation in cloud security, governance, and a proven ability to lead transformation initiatives across customer engagement platforms, including Amazon Connect The candidate should have technical acumen with leadership to deliver secure, customer-centric, and innovative cloud-native solutions. Core competencies: Cloud Solution Design & Architecture: Expertise in designing end-to-end cloud solutions leveraging a wide array of AWS services such as EC2, S3, VPC, Lambda, IAM, and CloudFormation. Contact Centre Modernization: Proven experience in designing and deploying intelligent customer experience solutions using Amazon Connect. Security & Compliance: Architecting secure, compliant, and well-governed environments with specialization in AWS Security practices. Infrastructure as Code & DevOps: Skilled in automating cloud infrastructure using CloudFormation and enabling CI/CD pipelines for efficient delivery. Data & Analytics: Building scalable data pipelines and insightful dashboards using Amazon Quick Sight and related AWS analytics tools. Thought Leadership & Mentoring: Active contributor to the cloud community, passionate about mentoring, particularly supporting women in technology. Technical Toolkit: - Languages & Tools: Python, AWS CLI, CloudFormation, Terraform Cloud Services: Amazon Connect, EC2, S3, Lambda, RDS, IAM, VPC, SQS Architectural Models: Public Cloud, Hybrid Cloud, Serverless Computing Domains: Cloud Security, Cloud-native Application Development, Infrastructure Automation Leadership Strengths: Cross-functional collaboration, stakeholder engagement, solution evangelism, team mentoring

We are looking for a highly skilled Senior Java Engineer to join our team. The ideal candidate will have strong expertise in Java, Spring Boot, and microservices architecture , with hands-on experience in PostgreSQL, Kafka, and Kubernetes . You will be responsible for designing, developing, and maintaining high-performance applications, ensuring system scalability, reliability, and observability. Key Responsibilities: Design, develop, and implement scalable backend solutions using Java, Spring Boot, and Spring Framework . Develop KPI-driven and observability-focused applications with strong logging and monitoring practices. Optimize database queries and manage PostgreSQL efficiently. Implement event-driven architecture using Kafka for messaging. Deploy and manage microservices using Kubernetes and CI/CD pipelines. Develop secure and scalable RESTful APIs . Collaborate with cross-functional teams to analyze requirements and deliver high-quality solutions. Ensure best practices for system security, performance, and maintainability. Participate in on-call rotations to support production systems and ensure system uptime. Required Skills & Qualifications: Strong expertise in Java, Spring Boot, and Spring Framework . Hands-on experience with PostgreSQL , with a strong focus on query optimization. Experience with Kafka for messaging and event-driven applications. Proficiency in Kubernetes for container orchestration and microservices deployment. Experience in designing and developing microservices-based architectures . Strong problem-solving skills and the ability to work independently with minimal supervision. Nice to Have: Knowledge of Remote SIM Provisioning (RSP) and eSIM technologies. Familiarity with AWS and DevOps practices.

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. You will be responsible for building and maintaining scalable data pipelines, optimizing data systems, and ensuring data is clean, reliable, and ready for analysis. Mandatory Skills- Python, AWS (Glue & Lambda), SQL, Pyspark, Any other cloud Key Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines. Work with structured and unstructured data from multiple sources. Build and maintain data warehouse/data lake infrastructure. Ensure data quality, integrity, and governance practices. Collaborate with data scientists, analysts, and other engineers to deliver data solutions. Optimize data workflows for performance and scalability. Monitor and troubleshoot data pipeline issues in real-time. Required Qualifications: Bachelors or master’s )degree in computer science, Engineering, or related field. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficient in Python, Pyspark, Any cloud (Azure or AWS ), Experience with cloud platforms (e.g., AWS, GCP, Azure). Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, Big Query).

Seeking Java Developer with strong expertise in AWS cloud services. The ideal candidate has 8+ years of experience developing scalable, high-performance web applications using Java (up to Java 17), Spring Boot, Angular (2-12), and AWS. Responsible for designing, developing, and deploying robust cloud-native applications, leveraging AWS services such as Lambda, EC2, S3, RDS, DynamoDB, and API Gateway. Key Responsibilities: Design and develop full-stack Java applications using Spring Boot, Angular, and RESTful APIs. Build and maintain AWS-based cloud solutions, leveraging EC2, S3, Lambda, DynamoDB, API Gateway, and CloudFormation. Develop and optimize microservices architectures, ensuring high availability and scalability. Implement CI/CD pipelines using Jenkins, AWS Code Pipeline, and Terraform for seamless deployments. Work with Docker & Kubernetes (EKS) for containerized applications. Optimize system performance using monitoring tools like AWS CloudWatch, X-Ray, and ELK Stack. Utilize Apache Kafka for event-driven architectures and Redis for caching. Ensure robust testing and quality assurance with JUnit, Mockito, Jasmine, and Postman. Collaborate in an Agile/Scrum environment to drive innovation and efficiency. Required Skills & Experience: Minimum 5+ years of experience in Java development, including Java 8/11/17 features. Expertise in Spring Boot, Hibernate, and Microservices Architecture. Strong knowledge of AWS cloud services and infrastructure. Experience with CI/CD pipelines, GitHub Actions, Terraform, and Jenkins. Proficiency in front-end development using Angular, JavaScript, and Bootstrap. Hands-on experience with SQL (Oracle, MySQL) and NoSQL (MongoDB, DynamoDB) databases. Strong understanding of APIs, messaging systems (SQS, JMS), and event-driven architectures. Knowledge of security best practices and DevSecOps. Preferred Qualifications: Experience in serverless architecture using AWS Lambda. Familiarity with React.js, Node.js, and Kotlin. Background in machine learning, data analytics, or big data processing (Apache Spark, Storm).

Roles and Responsibilities Design, develop, test, deploy, and maintain scalable cloud-based applications using AWS EKS. Collaborate with cross-functional teams to identify requirements and implement solutions that meet business needs. Ensure high availability, scalability, security, and performance of deployed applications on Amazon EC2 instances. Troubleshoot issues related to containerized applications running on Fargate or Lambda functions. Participate in code reviews to ensure adherence to coding standards and best practices.

Infrastructure Automation: Design and implement automation tools and frameworks for infrastructure provisioning and deployment. Cloud Services Integration: Integrate cloud services into DevOps processes, leveraging platforms like AWS. Monitoring and Logging: Set up monitoring, logging, and alerting systems to ensure system stability and performance. Utilize tools like Prometheus, ELK Stack, or similar. Security and Compliance: Ensure DevOps practices adhere to security best practices and compliance standards. Implement security measures and access controls. Collaboration and Communication: Work closely with development, operations, and QA teams to foster a culture of collaboration and shared responsibility. Training and Mentoring: Provide guidance and training to team members on DevOps practices and tools. Skills Required More than 6 years of experience in architecting, designing, developing, and implementing cloud solutions on AWS. Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics Proven ability to collaborate with multidisciplinary teams of business analysts, developers, data scientists, and subject-matter experts Knowledge of web services, API, REST, and RPC Familiarity with programming languages, such as Python, Java, or C# Preferred skills and qualifications Knowledge of web services, API, REST, and RPC AWS/Azure certification Location - Pune