570 Amazon Ec2 Jobs - Page 18

Interested candidates can share their updated CV at: heena.ruchwani@gspann.com Join GSPANN Technologies as a Senior AWS Data Engineer and play a critical role in designing, building, and optimizing scalable data pipelines in the cloud. Were looking for an experienced engineer who can turn complex data into actionable insights using the AWS ecosystem. Key Responsibilities: Design, develop, and maintain scalable data pipelines on AWS. Work with large datasets to perform ETL/ELT transformations using tools like AWS Glue, EMR, and Lambda . Optimize and monitor data workflows , ensuring reliability and performance. Collaborate with data analysts, architects, and other engineers to build data solutions that support business needs. Implement and manage data lakes , data warehouses , and streaming architectures . Ensure data quality, governance, and security standards are met across platforms. Participate in code reviews , documentation, and mentoring of junior data engineers. Required Skills & Qualifications: 5+ years of experience in data engineering , with strong hands-on work in the AWS cloud ecosystem . Proficiency in Python , PySpark , and SQL . Strong experience with AWS services : AWS Glue , Lambda , EMR , S3 , Athena , Redshift , Kinesis , etc. Expertise in data pipeline development and workflow orchestration (e.g., Airflow , Step Functions ). Solid understanding of data warehousing and data lake architecture. Experience with CI/CD , version control (GitHub) , and DevOps practices for data environments. Familiarity with Snowflake , Databricks , or Looker is a plus. Excellent communication and problem-solving skills. Interested candidates can share their updated CV at: heena.ruchwani@gspann.com

Role Purpose The purpose of the role is to resolve, maintain and manage client’s software/ hardware/ network based on the service requests raised from the end-user as per the defined SLA’s ensuring client satisfaction Do Ensure timely response of all the tickets raised by the client end user Service requests solutioning by maintaining quality parameters Act as a custodian of client’s network/ server/ system/ storage/ platform/ infrastructure and other equipment’s to keep track of each of their proper functioning and upkeep Keep a check on the number of tickets raised (dial home/ email/ chat/ IMS), ensuring right solutioning as per the defined resolution timeframe Perform root cause analysis of the tickets raised and create an action plan to resolve the problem to ensure right client satisfaction Provide an acceptance and immediate resolution to the high priority tickets/ service Installing and configuring software/ hardware requirements based on service requests 100% adherence to timeliness as per the priority of each issue, to manage client expectations and ensure zero escalations Provide application/ user access as per client requirements and requests to ensure timely solutioning Track all the tickets from acceptance to resolution stage as per the resolution time defined by the customer Maintain timely backup of important data/ logs and management resources to ensure the solution is of acceptable quality to maintain client satisfaction Coordinate with on-site team for complex problem resolution and ensure timely client servicing Review the log which Chat BOTS gather and ensure all the service requests/ issues are resolved in a timely manner Deliver NoPerformance ParameterMeasure1. 100% adherence to SLA/ timelines Multiple cases of red time Zero customer escalation Client appreciation emails Mandatory Skills: Cloud Storage. Experience3-5 Years.

Mandatory Skills: Analytics(DMS).

Role Purpose The purpose of this role is to provide solutions and bridge the gap between technology and business know-how to deliver any client solution Do 1. Bridging the gap between project and support teams through techno-functional expertise For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines Provide techno-functional solution support for all the new business implementations while building the entire system from the scratch Support the solutioning team from architectural design, coding, testing and implementation Understand the functional design as well as technical design and architecture to be implemented on the ERP system Customize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & production Implement the business processes, requirements and the underlying ERP technology to translate them into ERP solutions Write code as per the developmental standards to decide upon the implementation methodology Provide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may arise Create and deploy automation tools/ solutions to ensure process optimization and increase in efficiency Sink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordingly Support on-site manager with the necessary details wrt any change and off-site support 2. Skill upgradation and competency building Clear wipro exams and internal certifications from time to time to upgrade the skills Attend trainings, seminars to sharpen the knowledge in functional/ technical domain Write papers, articles, case studies and publish them on the intranet Deliver No. Performance Parameter Measure 1. Contribution to customer projects Quality, SLA, ETA, no. of tickets resolved, problem solved, # of change requests implemented, zero customer escalation, CSAT 2. Automation Process optimization, reduction in process/ steps, reduction in no. of tickets raised 3. Skill upgradation # of trainings & certifications completed, # of papers, articles written in a quarter Mandatory Skills: AWS Devops Operations. Experience5-8 Years.

Job Area: Information Technology Group, Information Technology Group > IT Software Developer General Summary: Qualcomm OneIT team is looking for a talented senior Full-Stack Developer to join our dynamic team and contribute to our exciting projects. The ideal candidate will have strong understanding of Java, Spring Boot, Angular/React and AWS technologies as well as experience in designing, managing and deploying applications to the cloud.Key Responsibilities: Design, develop and maintain web applications using Java, Spring Boot, and Angular/React. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Stay up-to-date with the latest industry trends and technologies. Minimum Qualifications: 3+ years of IT-relevant work experience with a Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems). OR 5+ years of IT-relevant work experience without a Bachelors degree. 3+ years of any combination of academic or work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.) 1+ year of any combination of academic or work experience with Data Structures, algorithms, and data stores. Candidate should have: Bachelor's degree in Computer Science, Engineering, or a related field. 5-7 years of experience with minimum 3 years as a Full-Stack developer using Java, Spring Boot and Angular/React. Strong proficiency in Java and Spring Boot. Experience with front-end frameworks such as Angular or React. Familiarity with RESTful APIs and web services. Knowledge of database systems like Oracle, MySQL, PostgreSQL, or MongoDB. Experience with AWS services such as EC2, S3, RDS, Lambda, and API Gateway. Understanding of version control systems, preferably Git. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience with any other programming language like C#, Python Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with CI/CD pipelines and DevOps practices. Experience with Agile/Scrum/SAFe methodologies. Bachelors or Masters degree in information technology, computer science or equivalent. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: TitleSenior Staff Job functionSenior Staff Multimedia - Customer Engineering Skills/experience Extensive experience in design and development in Multimedia domains like Display, Graphics, VideoKnowledge of Automotive Display technologies/pipeline in Linux DRM/KMS framework or QNX, Graphics engines and Video technologies Experience in Linux kernel, device drivers Experience in Automotive infotainment or digital cluster platform development, system knowledge of Automotive architecture and products Working experience with Android, QNX and hypervisor-based platforms Working knowledge of any of the languages C,C++,Java Working knowledge of debug tools related to memory, gdb, coredump, JTAG Good Experience in Customer engagement and management. Responsibilities Provide firsthand support to Qualcomm IVI and/or ADAS customers Support issues reported by customer in lab, drive test and certifications Perform root cause analysis of customer issues alongside the internal technology teams and provide feedback to engineering team Domain related experience in any or all key Multimedia technologies ( display, graphics, video) Software delivery managementIdentifying, verifying and delivering fixes for the software failures Engaging with Customer directly for Failure reports, New feature requirements, New project requirements, Schedule management. Triaging, Debugging software failures reported by Customers on Android, Auto grade Linux, QNX software stack Documenting the Customer Issues, Key features-requirements, design data. Working closely with internal technology teams to support the fix process Supporting Qualcomm customers when required to resolve launch-gating issues. Education requirements RequiredBachelor's, Computer Engineering and/or Computer Science and/or Electronics Engineering. PreferredMaster's, Computer Engineering and/or Computer Science and/or Electronics Engineering. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience. 3+ years of experience with Programming Language such as C, C++, Java, Python, etc. 3+ years of experience with debugging techniques. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title:MS SQL Server & MongoDB Database Administrator (AWS Cloud) Experience:Years Location:Bangalore : Key Responsibilities: Hands-on expertise in data migration between databases on-prem to Mongo Atlas. Experience in creating clusters, databases and creating the users. SQL Server AdministrationInstall, configure, upgrade, and manage SQL Server databases hosted on AWS EC2, RDS. AWS Cloud IntegrationDesign, deploy, and manage SQL Server instances using AWS services like RDS, EC2, S3, CloudFormation, and IAM. Performance TuningOptimize database performance through query tuning, indexing strategies, and resource allocation within AWS environments. High Availability and Disaster RecoveryImplement and manage HA/DR solutions such as Always On Availability Groups, Multi-AZ deployments, or read replicas on AWS. Backup and RestoreConfigure and automate backup strategies using AWS services like S3 and Lifecycle Policies while ensuring database integrity and recovery objectives. Security and ComplianceManage database security, encryption, and compliance standards (e.g., GDPR, HIPAA) using AWS services like KMS and GuardDuty. Monitoring and AutomationMonitor database performance using AWS CloudWatch, SQL Profiler, and third-party tools. Automate routine tasks using PowerShell, AWS Lambda, or AWS Systems Manager. CollaborationWork closely with development, DevOps, and architecture teams to integrate SQL Server solutions into cloud-based applications. DocumentationMaintain thorough documentation of database configurations, operational processes, and security procedures. Required Skills and Experience: 6+ years of experience in SQL Server database administration and 3+ years of experience in MongoDB administration. Extensive hands-on experience with AWS cloud services (e.g., RDS, EC2, S3, VPC, IAM). Proficiency in T-SQL programming and query optimization. Strong understanding of SQL Server HA/DR configurations in AWS (Multi-AZ, Read Replicas). Experience with monitoring and logging tools such as AWS CloudWatch, CloudTrail, or third-party solutions. Knowledge of cloud cost management and database scaling strategies. Familiarity with infrastructure-as-code tools (e.g., CloudFormation, Terraform). Strong scripting skills with PowerShell, Python, or similar languages. Preferred Skills and Certifications: Knowledge of database migration tools like AWS DMS or native backup/restore processes for cloud migrations. Understanding of AWS security best practices and tools such as KMS, GuardDuty, and AWS Config. Certifications such as AWS Certified Solutions Architect, AWS Certified Database Specialty, or Microsoft CertifiedAzure Database Administrator Associate. Educational Qualification: Bachelor’s degree in computer science, Information Technology, or a related field.

Job Title:DEVOPS- AWS Glue, KMS, ALB , ECS and Terraform/Terragrunt Experience5-10Years Location:Bangalore : DEVOPS, AWS, Glue, KMS, ALB , ECS, Terraform, Terragrunt

Job Title:Sr. LLM Engineer Gen AI Experience5-9 Years Location:Hyderabad/Gurgaon Based in Palo Alto, California, the world’s first AI-powered tech services company. We have reimagined tech services from the ground up with AI, offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built some of Silicon Valley’s most iconic companies. Founded in 2018 has grown rapidly, with over three million developers on its Talent Cloud and 900+ clients. We have been recognized with numerous awards, including Forbes’s 2022 "One of America’s Best Startup Employers," and ranking #1 in The Information’s 2021 Annual List of Most Promising B2B Companies. Our leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, and MIT, as well as consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more. About the Role Sr. LLM EngineerGen AI People with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other engineers across different skill sets. In the past, the GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. Required skills 5+ years of professional experience in building Machine Learning models & systems 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP, or AWS Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities Develop and optimize LLM-based solutionsLead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Codebase ownershipMaintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. Cloud integrationAide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. Cross-functional collaborationWork closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. Mentoring and guidanceProvide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Continuous innovationStay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Job Title:DevOps Automation Engineer Experience10-15 Years Location:Pune, Bangalore : Devops, CI/CD, Windows, Linux, Scripting

Job Title:Java AWS Developer Experience6-12 Years Location:Bangalore : : Experience in Java, J2ee, Spring boot. Experience in Design, Kubernetes, AWS (EKS, EC2) is needed. Experience in AWS cloud monitoring tools like Datadog, Cloud watch, Lambda is needed. Experience with XACML Authorization policies. Experience in NoSQL , SQL database such as Cassandra, Aurora, Oracle. Experience with Web Services SOA experience (SOAP as well as Restful with JSON formats), with Messaging (Kafka). Hands on with development and test automation tools/frameworks (e.g. BDD and Cucumber)

Job Title:Sr. LLM Engineer Gen AI Experience5-10 Years Location:Hyderabad/Gurgaon WFO : LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other engineers across different skill sets. In the past, the GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. Required skills 5+ years of professional experience in building Machine Learning models & systems 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP, or AWS Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities Develop and optimize LLM-based solutionsLead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Codebase ownershipMaintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. Cloud integrationAide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. Cross-functional collaborationWork closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. Mentoring and guidanceProvide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Continuous innovationStay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Job Title:Java AWS Experience6-12 Years Location:Hyderabad/ Bangalore : Experience in Java, J2ee, Spring boot. Experience in Design, Kubernetes, AWS (Lambda, EKS, EC2) is needed. Experience in AWS cloud monitoring tools like Datadog, Cloud watch, Lambda is needed. Experience with XACML Authorization policies. Experience in NoSQL , SQL database such as Cassandra, Aurora, Oracle. Experience with Web Services SOA experience (SOAP as well as Restful with JSON formats), with Messaging (Kafka). Hands on with development and test automation tools/frameworks (e.g. BDD and Cucumber)

Job Title ARCHITECT - AWS Databricks, SQL Experience 12-15 Years Location Bangalore : ARCHITECT, AWS, Databricks, SQL

Job Title Sr Software Engineer Experience 7-14 Years Location Bangalore : Proficient in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Ajax, REST API, Micro services etc. Working knowledge of any SQL database (MySQL, Oracle etc) Working knowledge of No-SQL database (Mongo or Dynamo DB) Experience in unit testing using Junit or Mockito Experience in designing and architecting systems with high scalability and performance requirements. Ability to design infrastructure for performance evaluation and reporting of cloud-based services, namely AWS In depth knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc. Certification on AWS architecture desirable Excellent communication skills ability to effectively articulate technical challenges and solutions skilled in interfacing with internal and external technical resources good in debugging problems and mentoring teams on technical front Roles and Responsibilities Participate and contribute in platform requirements/story development. Contribute to the design, coding for the requirements/stories and also participate in code and design reviews. Develop use cases and do unit test cases and execute them part of continuous integration pipeline. Process Skills: Agile – Scrum and Test-Driven Development

Job Title:Site Reliability Engineer Experience5-10 Years Location:Bangalore : Desired Skills and Experience Site Reliability Engineering, SRE, Kubernetes, Devops/Sysops, Unix & python scripting Strong hands on Kubernetes strong hands on and SRE/SysOPS back ground. familiar with Kubernetes Operator pattern Proficient with any modern Observability tool stack scripting like Unix or python

Job Title:Sr AWS Data Engineer Experience4-6 Years Location:Pune, Hyderabad, Gurgaon, Bangalore [Hybrid] : PySpark, Python, SQL, AWS Services - S3, Athena, Glue, EMR/Spark, Redshift, Lambda, Step Functions, IAM, CloudWatch.

Job Title:Oracle & MS-SQL and PostgreSQL DBA Experience:Years Location:Bangalore : Technical Skills: Hands-on expertise in data migration between databases on-prem to AWS cloud RDS. Experience in usage of AWS Data Migration Service (DMS) Experience in export/import of huge size Database Schema, full load plus CDC. Should have knowledge & experience in Unix command and writing task automation shell scripts. Knowledge & experience on Different Backup/restore methods and backup tools is needed. Experienced with hands on experience in DBA Skills of database monitoring, performance tuning, DB refresh. Hands on experience in Database support. Hands-on expertise in data migration between databases on-prem to Mongo Atlas. Experience in creating clusters, databases and creating the users. Hands-on expertise in data migration between databases on-prem to AWS cloud RDS (postgres) SQL Server AdministrationInstall, configure, upgrade, and manage SQL Server databases hosted on AWS EC2, RDS. AWS Cloud IntegrationDesign, deploy, and manage SQL Server instances using AWS services like RDS, EC2, S3, CloudFormation, and IAM. Performance TuningOptimize database performance through query tuning, indexing strategies, and resource allocation within AWS environments. High Availability and Disaster RecoveryImplement and manage HA/DR solutions such as Always On Availability Groups, Multi-AZ deployments, or read replicas on AWS. Backup and RestoreConfigure and automate backup strategies using AWS services like S3 and Lifecycle Policies while ensuring database integrity and recovery objectives. Security and ComplianceManage database security, encryption, and compliance standards (e.g., GDPR, HIPAA) using AWS services like KMS and GuardDuty. Monitoring and AutomationMonitor database performance using AWS CloudWatch, SQL Profiler, and third-party tools. Automate routine tasks using PowerShell, AWS Lambda, or AWS Systems Manager. CollaborationWork closely with development, DevOps, and architecture teams to integrate SQL Server solutions into cloud-based applications. DocumentationMaintain thorough documentation of database configurations, operational processes, and security procedures. Non-Technical Skills: Candidate needs to be Good Team Player Ownership skills- should be an individual performer to take deliverables and handle fresh challenges. Service/Customer orientation/ strong oral and written communication skills are mandate. Should be confident and capable to speak with client and onsite teams. Effective interpersonal, team building and communication skills. Ability to collaborate; be able to communicate clearly and concisely both to laypeople and peers, be able to follow instructions, make a team stronger for your presence and not weaker. Should be ready to work in rotating shifts (morning, general and afternoon shifts) Ability to see the bigger picture and differing perspectives; to compromise, to balance competing priorities, and to prioritize the user. Desire for continuous improvement, of the worthy sort; always be learning and seeking improvement, avoid change aversion and excessive conservatism, equally avoid harmful perfectionism, "not-invented-here" syndrome and damaging pursuit of the bleeding edge for its own sake. Learn things quickly, while working outside the area of expertise. Analyze a problem and realize exactly what all will be affected by even the smallest of change you make in the database. Ability to communicate complex technology to no tech audience in simple and precise manner.

Job Title Senior Software Engineer Experience 12-20 Years Location Bangalore : Strong knowledge & hands-on experience in AWS Data Bricks Nice to have Worked in hp eco system (FDL architecture) Technically strong to help the team on any technical issues they face during the execution. Owns the end-to-end technical deliverables Hands on data bricks + SQL knowledge Experience in AWS S3, Redshift, EC2 and Lambda services Extensive experience in developing and deploying Bigdata pipelines Experience in Azure data lake Strong hands on in SQL development / Azure SQL and in-depth understanding of optimization and tuning techniques in SQL with Redshift Development in Notebooks (like Jupyter, DataBricks, Zeppelin etc) Development experience in Spark Experience in scripting language like python and any other programming language Roles and Responsibilities Candidate must have hands on experience in AWS Data Databricks Good development experience using Python/Scala, Spark SQL and Data Frames Hands-on with Databricks, Data Lake and SQL knowledge is a must. Performance tuning, troubleshooting, and debugging SparkTM Process Skills: Agile – Scrum Qualification: Bachelor of Engineering (Computer background preferred)

Job Title:Python-AWS Cloud Architect – Data Experience5-10 Years Location:Bangalore : Python AWS Cloud Architect Data

Job Title:SQL, AWS Redshift, PostgreSQL Experience10-15 Years Location:Bangalore : SQL, AWS Redshift, PostgreSQL

Job Title:Data Engineer Experience5-7Years Location:Pune : Roles & Responsibilities: Create and maintain optimal data pipeline architecture Build data pipelines that transform raw, unstructured data into formats that data analyst can use to for analysis Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvementsautomating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and delivery of data from a wide variety of data sources using SQL and AWS ‘Big Data’ technologies Work with stakeholders including the Executive, Product, and program teams to assist with data-related technical issues and support their data infrastructure needs. Work with data and analytics experts to strive for greater functionality in our data systems Develops and maintains scalable data pipelines and builds out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using HQL and 'Big Data' technologies Implements processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Write unit/integration tests, contribute to engineering wiki, and document work Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Who You Are: You’re passionate about Data and building efficient data pipelines You have excellent listening skills and empathetic to others You believe in simple and elegant solutions and give paramount importance to quality You have a track record of building fast, reliable, and high-quality data pipelines Passionate with good understanding of data, with a focus on having fun, while delivering incredible business results Must have skills: AData Engineerwith 5+ years of relevant experience who is excited to apply their current skills and to grow their knowledge base. A Data Engineer who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Has experience using the following software/tools: Experience with big data tools:Hadoop, Spark, Kafka, Hive etc. Experience with relationalSQLandNoSQL databases, including Postgres and Cassandra Experience withdata pipelineandworkflow management tools Experience with AWS cloud services:EC2, EMR, RDS, Redshift Experience with object-oriented/object function scripting languages:Python, Java, Scala, etc. Experience withAirflow/Ozzie Experience inAWS/Spark/Python development Experience inGIT, JIRA, Jenkins, Shell scripting Familiar withAgile methodology,test-driven development, source control management and automated testing Build processes supporting data transformation, data structures, metadata, dependencies and workload management Experience supporting and working with cross-functional teams in a dynamic environment Nice to have skills: Experience with stream-processing systems:Storm, Spark-Streaming, etc. a plus Experience withSnowflake

Job Title:Informatica SME Experience0-5 Years Location:Bangalore : UI Path updated JD Admin, Designs, deploys, maintains, and upgrades the infrastructure for the UiPath Platform. This includes the UiPath Orchestrator & Admin and other UiPath products. Apply relevant licensing options for Orchestrator Manage logs and monitor the health of Orchestrator. Troubleshoot common Orchestrator issues. Setup /Install Orchestrator in On-prem Perform multi-node installation of Orchestrator (On Prem AWS). Upgrade Multi-node Orchestrator with HA configuration (On-prem AWS) and Load balancer Deploy Unattended Robots using the Enterprise License. AWS Architect updated JD Monitoring and Performance Tuning: Set up and configure AWS CloudWatch for monitoring system performance, alarms, and automated scaling. Troubleshoot and resolve performance issues in AWS resources. Security and Compliance: Implement best practices for securing AWS environments, including IAM role and policy management, encryption, and network security groups. Ensure compliance with industry standards and regulations. Cost Optimization: Monitor cloud usage and cost patterns, implementing cost-saving strategies and resource optimization techniques to reduce unnecessary expenses. Backup and Disaster Recovery: Design and implement backup and disaster recovery strategies for AWS-hosted systems and data. Collaboration: Work closely with the DevOps team to optimize CI/CD pipelines, support cloud-based applications, and troubleshoot infrastructure-related issues. Documentation: Maintain comprehensive and up-to-date documentation for AWS infrastructure, procedures, and best practices. Continuous Learning: Stay current with new AWS features, services, and best practices, and proactively integrate them into the organization’s infrastructure when appropriate.

Job Title AWS Architect Experience 6-9 Years Location Bangalore : UiPath admin and infrastructureinvolve designing, deploying, maintaining, and Upgrading the infrastructure for the UiPath Platform. The UiPath Platform is a combination of AI agents, robots, people, and Models that work together to automate tasks. Automation Infrastructure EngineerDesigns, deploys, maintains, and upgrades The infrastructure for the UiPath Platform. This includes the UiPath Orchestrator and other UiPath products.

Snowflake data engineer1 As mentioned earlier, for this role, we’re looking for a candidate who has a strong background in data technologies such as SQL Server, Snowflake, and similar platforms. In addition to that, they should bring experience in at least one other programming language, with a proficiency in Python being a key requirement. The ideal candidate should also have Exposure to DevOps pipelines within a data engineering context At least a high-level understanding of AWS services and how they fit into modern data architectures A proactive mindset—someone who is motivated to take initiative and contribute beyond assigned tasks