10 Aws Developer Jobs

Design, develop, and maintain microservices using Spring Boot Integrate backend services with AWS Cloud Infrastructure (EC2, Lambda, S3, RDS, etc.) Develop REST APIs and ensure their scalability and performance Collaborate with frontend, DevOps Required Candidate profile Strong expin Java & Spring Boot Proficiency AWS Services: EC2, Lambda, S3, RDS, SNS, SQS, API Gateway Experience in building and consuming RESTful APIs Familiarity with Microservices architecture Perks and benefits Perks and Benefits

C#.Net, REST API, AWS (ec2, lambda, sns, sqs, Kinesis, rds), Microservices, SQL and Non sql db, Java and AI Tools like GitHub Copilot. 4+ years of development exp Platform Sprint activities. Deve appropriate languages defined for each module. Required Candidate profile Develop Unit test cases and execute them part of continuous integration pipeline. Participate in peer code reviews Understand stack deployment and resolve issues with components in stacks. Perks and benefits Perks and Benefits

Develop, test, maintain Java-based backend applications using Spring Boot &Microservices architecture Design & build responsive UI components using Angular/React Integrate RESTful APIs and third-party services Optimize applications Walkin Free Jobs Required Candidate profile Collaborate with DevOps teams for deployment in cloud environments like AWS/Azure/GCP Work with Agile methodologies (Scrum/Kanban) and participate in sprint planning, code reviews, and daily standup Perks and benefits Perks and Benefits

Required Skills Experience building and managing ETL pipelines with large datasets using AWS services including Lambda, EventBridge, Step Functions, SNS, SQS, and S3. Hands-on experience is a MUST TO HAVE. Bonus: Knowledge of Kinesis or Kafka. Strong Python skills with experience in Spark/PySpark and working with APIs.(JAVA) Experienced in developing AWS APIs and configuring API Gateway. Proficient in writing SQL queries and optimizing performance in relational databases like Postgres. Need hands-on experience in Redis Cache and DynamoDB Practical experience with AWS services including Lambda, EventBridge, Step Functions, SNS, SQS, and S3. Experience working with CI/CD pipelines using GitHub Actions and agile development practices. Familiar with IAM roles and policies in AWS. Location- Kolkatta, Remote, Delhi, NCR, Bengaluru,Pune,Noida,Hyderabad, Chennai, Mumbai

Key Responsibilities: Data Pipeline Design & Development Design and develop scalable, resilient, and secure ETL/ELT data pipelines using AWS services. Build and optimize data workflows leveraging AWS Glue, EMR, Lambda, and Step Functions. Implement batch and real-time data ingestion using Kafka, Kinesis, or AWS Data Streams. Ensure efficient data movement across S3, Redshift, DynamoDB, RDS, and Snowflake. Cloud Data Engineering & Storage Architect and manage data lakes and data warehouses using Amazon S3, Redshift, and Athena. Optimize data storage and retrieval using Parquet, ORC, Avro, and columnar storage formats. Implement data partitioning, indexing, and query performance tuning. Work with NoSQL databases (DynamoDB, MongoDB) and relational databases (PostgreSQL, MySQL, Aurora). Infrastructure as Code (IaC) & Automation Deploy and manage AWS data infrastructure using Terraform, AWS CloudFormation, or AWS CDK. Implement CI/CD pipelines for automated data pipeline deployments using GitHub Actions, Jenkins, or AWS CodePipeline. Automate data workflows and job orchestration using Apache Airflow, AWS Step Functions, or MWAA. Performance Optimization & Monitoring Optimize Spark, Hive, and Presto queries for performance and cost efficiency. Implement auto-scaling strategies for AWS EMR clusters. Set up monitoring, logging, and alerting with AWS CloudWatch, CloudTrail, and Prometheus/Grafana. Security, Compliance & Governance Implement IAM policies, encryption (AWS KMS), and role-based access controls. Ensure compliance with GDPR, HIPAA, and industry data governance standards. Monitor data pipelines for security vulnerabilities and unauthorized access. Collaboration & Stakeholder Engagement Work closely with data analysts, data scientists, and business teams to understand data needs. Document data pipeline designs, architecture decisions, and best practices. Mentor and guide junior data engineers on AWS best practices and optimization techniques. Required Qualifications: Experience: 6+ years in data engineering with a focus on AWS cloud technologies. Technical Skills: Expertise in AWS Glue, Lambda, EMR, Redshift, Kinesis, and Step Functions. Proficiency in SQL, Python, and PySpark for data transformations. Strong understanding of ETL/ELT best practices and data warehousing concepts. Experience with Apache Airflow or Step Functions for orchestration. Familiarity with Kafka, Kinesis, or other streaming platforms. Knowledge of Terraform, CloudFormation, and DevOps for AWS. Preferred Skills: Experience with AWS Lake Formation and Data Catalog for metadata management. Knowledge of Databricks, Snowflake, or BigQuery for data analytics. AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect is a plus. Soft Skills: Strong problem-solving and analytical thinking. Excellent communication and collaboration abilities. Ability to work independently and in agile teams. A proactive approach to identifying and addressing challenges in data workflows. Location-Bengaluru,Pune,Noida,Hyderabad

AWS certified with solid 1+ years experience in 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 DB: No SQL DB.

Work Mode: Hybrid (3 days) Work Timing: 2 PM to 11 PM Key Responsibilities: Experience in working with AWS Lambda, AWS API Gateway, AWS SDK, Python, S3 Experience in CICD Automation Experience in writing complex SQL Experienced in developing the data pipelines Knowledge of ETL end to end

Redshift , PostgressSQL, AuroraMySQL, SQS, MFTS

AWS Cloud Engineer Band B2, Senior Analyst Location Gurgaon Experience - 5-6 years Shift 12 PM to 09:30 PM Required Skills and Qualifications: 5-6 years of hands-on experience with AWS services, including EC2, S3, Lambda, ECS, EKS, and RDS/DynamoDB, API Gateway. Strong working knowledge of Python, JavaScript. Strong experience with Terraform for infrastructure as code. Expertise in defining and managing IAM roles, policies, and configurations . Experience with networking, security, and monitoring within AWS environments. Experience with containerization technologies such as Docker and orchestration tools like Kubernetes (EKS) . Strong analytical, troubleshooting, and problem-solving skills. Experience with AI/ML technologies and Services like Textract will be preferred. AWS Certifications ( AWS Developer, Machine Learning - Specialty ) are a plus. Interested candidates can share the updated resume to anusha.bc7@wipro.com. Reference are welcome.

Software DevOps Development Engi to enhance SDLC automation, develop Jenkins CI/CD pipelines, &script using Groovy & Python. Must have DevOps expertise, security knowledge, and strong troubleshooting skills AWS,azure,GCP, Docker,K8s Terraform/Ansible