48 Aws Kinesis Jobs

You should have 8-10 years of operational knowledge in Microservices and .Net Fullstack, with experience in C# or Python development, as well as Docker. Additionally, experience with PostgreSQL or Oracle is required. Knowledge of AWS services such as S3 is necessary, and familiarity with AWS Kinesis and AWS Redshift is preferred. A strong desire to learn new technologies and skills is highly valued. Experience with unit testing and Test-Driven Development (TDD) methodology is considered an asset. You should possess strong team spirit, analytical skills, and the ability to synthesize information. Having a passion for Software Craftsmanship, a culture of excellence, and writing Clean Code is important. Fluency in English is required due to the multicultural and international nature of the team. In this role, you will have the opportunity to develop your technical skills in C# .NET and/or Python, Oracle, PostgreSQL, AWS, ELK (Elasticsearch, Logstash, Kibana), GIT, GitHub, TeamCity, Docker, and Ansible.,

Bachelor&aposs degree in Computer Science, Engineering, Information Technology, or a related field. 3-4 years of hands-on experience in data engineering, with a strong focus on AWS cloud services. Proficiency in Python for data manipulation, scripting, and automation. Strong command of SQL for data querying, transformation, and database management. Demonstrable Experience With AWS Data Services, Including Amazon S3: Data Lake storage and management. AWS Glue: ETL service for data preparation. Amazon Redshift: Cloud data warehousing. AWS Lambda: Serverless computing for data processing. Amazon EMR: Managed Hadoop framework for big data processing (Spark/PySpark experience highly preferred). AWS Kinesis (or Kafka): Real-time data streaming. Strong analytical, problem-solving, and debugging skills. Excellent communication and collaboration abilities, with the capacity to work effectively in an agile team environment. Responsibilities Troubleshoot and resolve data-related issues and performance bottlenecks in existing pipelines. Develop and maintain data quality checks, monitoring, and alerting mechanisms to ensure data pipeline reliability. Participate in code reviews, contribute to architectural discussions, and promote best practices in data engineering. Show more Show less

You should possess a BTech degree in computer science, engineering, or a related field of study, or have 12+ years of related work experience. Additionally, you should have at least 7 years of design and implementation experience with large-scale data-centric distributed applications. It is essential to have professional experience in architecting and operating cloud-based solutions, with a good understanding of core disciplines such as compute, networking, storage, security, and databases. A strong grasp of data engineering concepts like storage, governance, cataloging, data quality, and data modeling is required. Familiarity with various architecture patterns like data lake, data lake house, and data mesh is also important. You should have a good understanding of Data Warehousing concepts and hands-on experience with tools like Hive, Redshift, Snowflake, and Teradata. Experience in migrating or transforming legacy customer solutions to the cloud is highly valued. Moreover, experience working with services like AWS EMR, Glue, DMS, Kinesis, RDS, Redshift, Dynamo DB, Document DB, SNS, SQS, Lambda, EKS, and Data Zone is necessary. A thorough understanding of Big Data ecosystem technologies such as Hadoop, Spark, Hive, and HBase, along with other relevant tools and technologies, is expected. Knowledge in designing analytical solutions using AWS cognitive services like Textract, Comprehend, Rekognition, and Sagemaker is advantageous. You should also have experience with modern development workflows like git, continuous integration/continuous deployment pipelines, static code analysis tooling, and infrastructure-as-code. Proficiency in a programming or scripting language like Python, Java, or Scala is required. Possessing an AWS Professional/Specialty certification or relevant cloud expertise is a plus. In this role, you will be responsible for driving innovation within the Data Engineering domain by designing reusable and reliable accelerators, blueprints, and libraries. You should be capable of leading a technology team, fostering an innovative mindset, and enabling fast-paced deliveries. Adapting to new technologies, learning quickly, and managing high ambiguity are essential skills for this position. You will collaborate with business stakeholders, participate in various architectural, design, and status calls, and showcase good presentation skills when interacting with executives, IT Management, and developers. Furthermore, you will drive technology/software sales or pre-sales consulting discussions, ensure end-to-end ownership of tasks, and maintain high-quality software development with complete documentation and traceability. Fulfilling organizational responsibilities, sharing knowledge and experience with other teams/groups, conducting technical training sessions, and producing whitepapers, case studies, and blogs are also part of this role. The ideal candidate for this position should have 10 to 18 years of experience and be able to reference the job with the number 12895.,

You should have 8-10 years of operational knowledge in Microservices and .Net Fullstack, C# or Python development, along with experience in Docker. Additionally, experience with PostgreSQL or Oracle is required. Knowledge of AWS services such as S3 is a must, and familiarity with AWS Kinesis and AWS Redshift is desirable. A genuine interest in mastering new technologies is essential for this role. Experience with unit testing and Test-Driven Development (TDD) methodology will be considered as assets. Strong team spirit, analytical skills, and the ability to synthesize information are key qualities we are looking for. Having a passion for Software Craftsmanship, a culture of excellence, and writing Clean Code is highly valued. Being fluent in English is important as you will be working in a multicultural and international team. In this role, you will have the opportunity to develop your technical skills in the following areas: C# .NET and/or Python programming, Oracle and PostgreSQL databases, AWS services, ELK (Elasticsearch, Logstash, Kibana) stack, as well as version control tools like GIT and GitHub, continuous integration with TeamCity, containerization with Docker, and automation using Ansible.,

Are you ready to power the world's connections If you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we're looking for candidates who are particularly strong in a few areas and have some interest and capabilities in others. Design, develop, and maintain microservices that power Kong Konnect, the Service Connectivity Platform. Working closely with Product Management and teams across Engineering, you will develop software that has a direct impact on our customers" business and Kong's success. This opportunity is hybrid (Bangalore Based) with 3 days in the office and 2 days work from home. Implement, and maintain services that power high bandwidth logging and tracing services for our cloud platform such as indexing and searching logs and traces of API requests powered by Kong Gateway and Kuma Service Mesh. Implement efficient solutions at scale using distributed and multi-tenant cloud storage and streaming systems. Implement cloud systems that are resilient to regional and zonal outages. Participate in an on-call rotation to support services in production, ensuring high performance and reliability. Write and maintain automated tests to ensure code integrity and prevent regressions. Mentor other team members. Undertake additional tasks as assigned by the manager. 5+ years working in a team to develop, deliver, and maintain complex software solutions. Experience in log ingestion, indexing, and search at scale. Excellent verbal and written communication skills. Proficiency with OpenSearch/Elasticsearch and other full-text search engines. Experience with streaming platforms such as Kafka, AWS Kinesis, etc. Operational experience in running large-scale, high-performance internet services, including on-call responsibilities. Experience with JVM and languages such as Java and Scala. Experience with AWS and cloud platforms for SaaS teams. Experience designing, prototyping, building, monitoring, and debugging microservices architectures and distributed systems. Understanding of cloud-native systems like Kubernetes, Gitops, and Terraform. Bachelors or Masters degree in Computer Science. Bonus points if you have experience with columnar stores like Druid/Clickhouse/Pinot, working on new products/startups, contributing to Open Source Software projects, or working or developing L4/L7 proxies such as Nginx, HA-proxy, Envoy, etc. Kong is THE cloud native API platform with the fastest, most adopted API gateway in the world (over 300m downloads!). Loved by developers and trusted with enterprises" most critical traffic volumes, Kong helps startups and Fortune 500 companies build with confidence allowing them to bring solutions to market faster with API and service connectivity that scales easily and securely. 83% of web traffic today is API calls! APIs are the connective tissue of the cloud and the underlying technology that allows software to talk and interact with one another. Therefore, we believe that APIs act as the nervous system of the cloud. Our audacious mission is to build the nervous system that will safely and reliably connect all of humankind! For more information about Kong, please visit konghq.com or follow @thekonginc on Twitter.,

You should have hands-on experience in deploying and managing large-scale dataflow products such as Cribl, Logstash, or Apache NiFi. Additionally, you should be proficient in integrating data pipelines with cloud platforms like AWS, Azure, Google Cloud, and on-premises systems. It is essential to have experience in developing and validating field extraction using regular expressions. A strong understanding of Operating Systems and Networking concepts is required, including Linux/Unix system administration, HTTP, and encryption. You should possess knowledge of software version control, deployment, and build tools following DevOps SDLC practices such as Git, Jenkins, and Jira. Strong analytical and troubleshooting skills are crucial for this role, along with excellent verbal and written communication skills. An appreciation of Agile methodologies, specifically Kanban, is also expected. Desirable skills for this position include enterprise experience with a distributed event streaming platform like Apache Kafka, AWS Kinesis, Google Pub/Sub, or MQ. Experience in infrastructure automation and integration, preferably using Python and Ansible, would be beneficial. Familiarity with cybersecurity concepts, event types, and monitoring requirements is a plus. Experience in Parsing and Normalizing data in Elasticsearch using Elastic Common Schema (ECS) would also be advantageous.,

8+ Years of exp in Database Technologies: AWS Aurora-PostgreSQL, NoSQL,DynamoDB, MongoDB,Erwin data modeling Exp in pg_stat_statements, Query Execution Plans Exp in Apache Kafka,AWS Kinesis,Airflow,Talend.AWS Exp in CloudWatch,Prometheus,Grafana, Required Candidate profile Exp in GDPR, SOC2, Role-Based Access Control (RBAC), Encryption Standards. Exp in AWS Multi-AZ, Read Replicas, Failover Strategies, Backup Automation. Exp in Erwin, Lucidchart, Confluence, JIRA.

As a Database Designer / Senior Data Engineer at VE3, you will be responsible for architecting and designing modern, scalable data platforms on AWS and/or Azure, ensuring best practices for security, cost optimization, and performance. You will develop detailed data models and document data dictionaries and lineage to support data solutions. Additionally, you will build and optimize ETL/ELT pipelines using languages such as Python, SQL, Scala, and services like AWS Glue, Azure Data Factory, and open-source frameworks like Spark and Airflow. Collaboration is key in this role as you will work closely with data analysts, BI teams, and stakeholders to translate business requirements into data solutions and dashboards. You will also partner with DevOps/Cloud Ops to automate CI/CD for data code and infrastructure, ensuring governance, security, and compliance standards such as GDPR and ISO27001 are met. Monitoring, alerting, and data quality frameworks will be implemented to maintain data integrity. As a mentor, you will guide junior engineers and stay updated on emerging big data and streaming technologies to enhance our toolset. The ideal candidate should have a Bachelor's degree in Computer Science, Engineering, IT, or similar field with at least 3 years of hands-on experience in a Database Designer / Data Engineer role within a cloud environment. Technical skills required include expertise in SQL, proficiency in Python or Scala, and familiarity with cloud services like AWS (Glue, S3, Kinesis, RDS) or Azure (Data Factory, Data Lake Storage, SQL Database). Strong communication skills are essential, along with an analytical mindset to address performance bottlenecks and scaling challenges. A collaborative attitude in agile/scrum settings is highly valued. Nice to have qualifications include certifications in AWS or Azure data analytics, exposure to data science workflows, experience with containerized workloads, and familiarity with DataOps practices and tools. At VE3, we are committed to fostering a diverse and inclusive environment where every voice is heard, and every idea can contribute to tomorrow's breakthrough.,

At LeadSquared, we are committed to staying current with the latest technology trends and leveraging cutting-edge tech stacks to enhance our product. As a member of our engineering team, you will have the opportunity to work closely with the newest web and mobile technologies, tackling challenges related to scalability, performance, security, and cost optimization. Our primary objective is to create the industry's premier SaaS platform for sales execution, making LeadSquared an ideal place to embark on an exciting career. The role we are offering is tailored for developers with a proven track record in developing high-performance microservices using Golang, Redis, and various AWS Services. Your responsibilities will include deciphering business requirements and crafting solutions that are not only secure and scalable but also high-performing and easily testable. Key Requirements: - A minimum of 5 years of experience in constructing high-performance APIs and services, with a preference for Golang. - Proficiency in working with Data Streams such as Kafka or AWS Kinesis. - Hands-on experience with large-scale enterprise applications while adhering to best practices. - Strong troubleshooting and debugging skills, coupled with the ability to design and create reusable, maintainable, and easily debuggable applications. - Proficiency in GIT is essential. Preferred Skills: - Familiarity with Kubernetes and microservices. - Experience with OLAP databases/data warehouses like Clickhouse or Redshift. - Experience in developing and deploying applications on the AWS platform. If you are passionate about cutting-edge technologies, eager to tackle challenging projects, and keen on building innovative solutions, then this role at LeadSquared is the perfect opportunity for you to excel and grow in your career.,

You must have knowledge in Azure Datalake, Azure function, Azure Databricks, Azure Data Factory, and PostgreSQL. Working knowledge in Azure DevOps and Git flow would be an added advantage. Alternatively, you should have working knowledge in AWS Kinesis, AWS EMR, AWS Glue, AWS RDS, AWS Athena, and AWS RedShift. Demonstrable expertise in working with timeseries data is essential. Experience in delivering data engineering/data science projects in Industry 4.0 is an added advantage. Knowledge of Palantir is required. You must possess strong problem-solving skills with a focus on sustainable and reusable development. Proficiency in using statistical computer languages like Python/PySpark, Pandas, Numpy, seaborn/matplotlib is necessary. Knowledge in Streamlit.io is a plus. Familiarity with Scala, GoLang, Java, and big data tools such as Hadoop, Spark, Kafka is beneficial. Experience with relational databases like Microsoft SQL Server, MySQL, PostGreSQL, Oracle, and NoSQL databases including Hadoop, Cassandra, MongoDB is expected. Proficiency in data pipeline and workflow management tools like Azkaban, Luigi, Airflow is required. Experience in building and optimizing big data pipelines, architectures, and data sets is crucial. You should possess strong analytical skills related to working with unstructured datasets. Provide innovative solutions to data engineering problems, document technology choices, and integration patterns. Apply best practices for project delivery with clean code. Demonstrate innovation and proactiveness in meeting project requirements. Reporting to: Director- Intelligent Insights and Data Strategy Travel: Must be willing to be deployed at client locations worldwide for long and short terms, flexible for shorter durations within India and abroad.,

Summary: We are seeking a highly skilled and experienced Snowflake Database Administrator (DBA) to join our team. The ideal candidate will be responsible for the administration, management, and optimization of our Snowflake data platform. The role requires strong expertise in database design, performance tuning, security, and data governance within the Snowflake environment. Key Responsibilities: Administer and manage Snowflake cloud data warehouse environments, including provisioning, configuration, monitoring, and maintenance. Implement security policies, compliance, and access controls. Manage Snowflake accounts and databases in a multi-tenant environment. Monitor the systems and provide proactive solutions to ensure high availability and reliability. Monitor and manage Snowflake costs. Collaborate with developers, support engineers and business stakeholders to ensure efficient data integration. Automate database management tasks and procedures to improve operational efficiency. Stay up to date with the latest Snowflake features, best practices, and industry trends to enhance the overall data architecture. Develop and maintain documentation, including database configurations, processes, and standard operating procedures. Support disaster recovery and business continuity planning for Snowflake environments. Required Qualifications: Bachelors degree in computer science, Information Technology, or a related field. 5+ years of experience in Snowflake operations and administration. Strong knowledge of SQL, query optimization, and performance tuning techniques. Experience in managing security, access controls, and data governance in Snowflake. Familiarity with AWS. Proficiency in Python or Bash. Experience in automating database tasks using Terraform, CloudFormation, or similar tools. Understanding of data modeling concepts and experience working with structured and semi-structured data (JSON, Avro, Parquet). Strong analytical, problem-solving, and troubleshooting skills. Excellent communication and collaboration abilities. Preferred Qualifications: Snowflake certification (e.g., SnowPro Core, SnowPro Advanced: Architect, Administrator). Experience with CI/CD pipelines and DevOps practices for database management. Knowledge of machine learning and analytics workflows within Snowflake. Hands-on experience with data streaming technologies (Kafka, AWS Kinesis, etc.).

Design, develop, and maintain robust data pipelines and ETL/ELT processes on AWS. Leverage AWS services such as S3, Glue, Lambda, Redshift, Athena, EMR , and others to build scalable data solutions. Write efficient and reusable code using Python for data ingestion, transformation, and automation tasks. Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to support data needs. Monitor, troubleshoot, and optimize data workflows for performance, reliability, and cost efficiency. Ensure data quality, security, and governance across all systems. Communicate technical solutions clearly and effectively with both technical and non-technical stakeholders. Required Skills & Qualifications 5+ years of experience in data engineering roles. Strong hands-on experience with Amazon Web Services (AWS) , particularly in data-related services (e.g., S3, Glue, Lambda, Redshift, EMR, Athena). Proficiency in Python for scripting and data processing. Experience with SQL and working with relational databases. Solid understanding of data architecture, data modeling, and data warehousing concepts. Experience with CI/CD pipelines and version control tools (e.g., Git). Excellent verbal and written communication skills . Proven ability to work independently in a fully remote environment. Preferred Qualifications Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Familiarity with big data technologies such as Apache Spark or Hadoop. Exposure to infrastructure-as-code tools like Terraform or CloudFormation. Knowledge of data privacy and compliance standards.

Key Responsibilities Administer and manage Snowflake cloud data warehouse environments, including provisioning, configuration, monitoring, and maintenance. Implement security policies, compliance, and access controls. Manage Snowflake accounts and databases in a multi-tenant environment. Monitor the systems and provide proactive solutions to ensure high availability and reliability. Monitor and manage Snowflake costs. Collaborate with developers, support engineers and business stakeholders to ensure efficient data integration. Automate database management tasks and procedures to improve operational efficiency. Stay up to date with the latest Snowflake features, best practices, and industry trends to enhance the overall data architecture Develop and maintain documentation, including database configurations, processes, and standard operating procedures. Support disaster recovery and business continuity planning for Snowflake environments. Required Qualifications Bachelor's degree in computer science, Information Technology, or a related field. 5+ years of experience in Snowflake operations and administration. Strong knowledge of SQL, query optimization, and performance tuning techniques. Experience in managing security, access controls, and data governance in Snowflake. Familiarity with AWS. Proficiency in Python or Bash. Experience in automating database tasks using Terraform, CloudFormation, or similar tools. Understanding of data modeling concepts and experience working with structured and semi-structured data (JSON, Avro, Parquet). Strong analytical, problem-solving, and troubleshooting skills. Excellent communication and collaboration abilities. Preferred Qualifications Snowflake certification (e.g., SnowPro Core, SnowPro Advanced: Architect, Administrator). Experience with CI/CD pipelines and DevOps practices for database management. Knowledge of machine learning and analytics workflows within Snowflake. Hands-on experience with data streaming technologies (Kafka, AWS Kinesis, etc.).

Job Title - + + Management Level: Location:Kochi, Coimbatore, Trivandrum Must have skills:Big Data, Python or R Good to have skills:Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional and Technical Skills 3.5-5 years experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

As a Senior ETL & Data Streaming Engineer at DataFlow Group, you will have the opportunity to utilize your extensive expertise in designing, developing, and maintaining robust data pipelines. With over 10 years of experience in the field, you will play a pivotal role in ensuring the scalability, fault-tolerance, and performance of our ETL processes. Your responsibilities will include architecting and building both batch and real-time data streaming solutions using technologies like Talend, Informatica, Apache Kafka, or AWS Kinesis. You will collaborate closely with data architects, data scientists, and business stakeholders to translate data requirements into efficient pipeline solutions and ensure data quality, integrity, and security across all storage solutions. In addition to monitoring, troubleshooting, and optimizing existing data pipelines, you will also be responsible for developing and maintaining comprehensive documentation for all ETL and streaming processes. Your role will involve implementing data governance policies and best practices within the Data Lake and Data Warehouse environments, as well as mentoring junior engineers to foster a culture of technical excellence and continuous improvement. To excel in this role, you should have a strong background in data engineering, with a focus on ETL, ELT, and data pipeline development. Your deep expertise in ETL tools, data streaming technologies, and AWS data services will be essential for success. Proficiency in SQL and at least one scripting language for data manipulation, along with strong database skills, will also be valuable assets in this position. If you are a proactive problem-solver with excellent analytical skills and strong communication abilities, this role offers you the opportunity to stay abreast of emerging technologies and industry best practices in data engineering, ETL, and streaming. Join us at DataFlow Group and be part of a team dedicated to making informed, cost-effective decisions through cutting-edge data solutions.,

As a Senior ETL & Data Streaming Engineer at DataFlow Group, a global provider of Primary Source Verification solutions and background screening services, you will be a key player in the design, development, and maintenance of robust data pipelines. With over 10 years of experience, you will leverage your expertise in both batch ETL processes and real-time data streaming technologies to ensure efficient data extraction, transformation, and loading into our Data Lake and Data Warehouse. Your responsibilities will include designing and implementing highly scalable ETL processes using industry-leading tools, as well as architecting batch and real-time data streaming solutions with technologies like Talend, Informatica, Apache Kafka, or AWS Kinesis. You will collaborate with data architects, data scientists, and business stakeholders to understand data requirements and translate them into effective pipeline solutions, ensuring data quality, integrity, and security across all storage solutions. Monitoring, troubleshooting, and optimizing existing data pipelines for performance, cost-efficiency, and reliability will be a crucial part of your role. Additionally, you will develop comprehensive documentation for all ETL and streaming processes, contribute to data governance policies, and mentor junior engineers to foster a culture of technical excellence and continuous improvement. To excel in this position, you should have 10+ years of progressive experience in data engineering, with a focus on ETL, ELT, and data pipeline development. Your deep expertise in ETL tools like Talend, proficiency in Data Streaming Technologies such as AWS Glue and Apache Kafka, and extensive experience with AWS data services like S3, Glue, and Lake Formation will be essential. Strong knowledge of traditional data warehousing concepts, dimensional modeling, programming languages like SQL and Python, and relational and NoSQL databases will also be required. If you are a problem-solver with excellent analytical skills, strong communication abilities, and a passion for staying updated on emerging technologies and industry best practices in data engineering, ETL, and streaming, we invite you to join our team at DataFlow Group and make a significant impact in the field of data management.,

Lets do this. Lets change the world. In this vital role you will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre-clinical studies as well as those that manage compound inventories / biological sample banks. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing). Roles & Responsibilities: Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software Identify and resolve software bugs and performance issues Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time Maintain documentation of software designs, code, and development processes Customize modules to meet specific business requirements Work on integrating with other systems and platforms to ensure seamless data flow and functionality Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently Contribute to both front-end and back-end development using cloud technology Develop innovative solution using generative AI technologies Identify and resolve technical challenges effectively Work closely with product team, business team including scientists, and other stakeholders What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Bachelors degree and 0 to 3 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 4 to 7 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications: Experience in implementing and supporting biopharma scientific software platforms Functional Skills: Must-Have Skills: Proficient in a General Purpose High Level Language (e.g. Python, Java, C#.NET) Proficient in a Javascript UI Framework (e.g. React, ExtJs) Proficient in a SQL (e.g. Oracle, PostGres, Databricks) Experience with event-based architecture (e.g. Mulesoft, AWS EventBridge, AWS Kinesis, Kafka) Good-to-Have Skills: Strong understanding of software development methodologies, mainly Agile and Scrum Hands-on experience with Full Stack software development Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes) Working experience with DevOps practices and CI/CD pipelines Experience with big data technologies (e.g., Spark, Databricks) Experience with API integration, serverless, microservices architecture (e.g. Mulesoft, AWS Kafka) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation) Experience with version control systems like Git Experience with automated testing tools and frameworks Experience with Benchling Professional Certifications (please mention if the certification is preferred or mandatory for the role): AWS Certified Cloud Practitioner preferred Soft Skills: Excellent problem solving, analytical, and troubleshooting skills Strong communication and interpersonal skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to learn quickly & work independently Team-oriented, with a focus on achieving team goals Ability to manage multiple priorities successfully Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com,

Job Title: IoT Solutions Architect (MQTT/HiveMQ) Consultant Location: 100% Remote Notes: Consumer goods and Manufacturing experience are highly preferred. Comfortable to work on the US Timezone Job Description The consultant will be working on a new MQTT/Hive MQ setup. IoT smart manufacturing project. Cloud platform - Azure Must have 3-4 years of experience in the field in manufacturing solutions and minimum 2 years of HiveMQ - Sequel, cloud/edge integrations experience. These are the skills required: Expertise in MQTT Protocols: Deep understanding of MQTT 3.1.1 and MQTT 5.0, including advanced features like QoS levels, retained messages, session expiry, and shared subscriptions. HiveMQ Platform Proficiency: Hands-on experience with HiveMQ broker setup, configuration, clustering, and deployment (on-premises, cloud, or Kubernetes). Edge-to-Cloud Integration: Ability to design and implement solutions that bridge OT (Operational Technology) and IT systems using MQTT. Sparkplug B Knowledge: Familiarity with Sparkplug B for contextual MQTT data in IIoT environments. Enterprise Integration: Experience with HiveMQ Enterprise Extensions (e.g., Kafka, Google Cloud Pub/Sub, AWS Kinesis, PostgreSQL, MongoDB, Snowflake). Security Implementation: Knowledge of securing MQTT deployments using HiveMQ Enterprise Security Extension (authentication, authorization, TLS, etc.). Custom Extension Development: Ability to develop and deploy custom HiveMQ extensions using the open-source SDK. Development & Scripting MQTT Client Libraries: Proficiency in using MQTT client libraries (e.g., Eclipse Paho, HiveMQ MQTT Client) in languages like Java, Python, or JavaScript. MQTT CLI: Familiarity with the MQTT Command Line Interface for testing and debugging. Scripting & Automation: Ability to automate deployment and testing using tools like HiveMQ Swarm. Soft Skills & Experience Must have 3-4 years of experience in the field in manufacturing solutions and minimum 2 years of HiveMQ - Sequel, cloud/edge integrations experience. IoT/IIoT Project Experience: Proven track record in implementing MQTT-based IoT solutions. Problem Solving & Debugging: Strong analytical skills to troubleshoot MQTT communication and broker issues. Communication & Documentation: Ability to clearly document architecture, configurations, and best practices for clients. Interested Candidate can apply : dsingh15@fcsltd.com

We are looking for an experienced Project Manager with a strong foundation in software development who can effectively engage with clients and lead project teams. The ideal candidate will have hands-on experience in managing complex software projects, specifically in IoT and mobile app integration. This role involves overseeing the development of a baby monitoring app and its integration with camera systems using AWS IoT Core and AWS Kinesis Video Streams (KVS). The candidate will handle the complete project lifecycle, ensuring delivery within budget, scope, and time. Responsibilities include project governance, defining SLAs, writing Statements of Work (SoW), and converting business requirements into actionable use cases and user stories. Additionally, the Project Manager will manage and mentor the project team, foster a collaborative environment, and ensure adherence to Agile methodologies. Location - Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : AWS Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly across the organization, contributing to the overall efficiency and effectiveness of data management practices. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Analytics.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Familiarity with cloud data storage solutions and architectures.- Ability to analyze and optimize data workflows for performance. Additional Information:- The candidate should have minimum 5 years of experience in AWS Analytics.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

About the Role: We are seeking a passionate and experienced Subject Matter Expert and Trainer to deliver our comprehensive Data Engineering with AWS program. This role combines deep technical expertise with the ability to coach, mentor, and empower learners to build strong capabilities in data engineering, cloud services, and modern analytics tools. If you have a strong background in data engineering and love to teach, this is your opportunity to create impact by shaping the next generation of cloud data professionals. Key Responsibilities: Deliver end-to-end training on the Data Engineering with AWS curriculum, including: - Oracle SQL and ANSI SQL - Data Warehousing Concepts, ETL & ELT - Data Modeling and Data Vault - Python programming for data engineering - AWS Fundamentals (EC2, S3, Glue, Redshift, Athena, Kinesis, etc.) - Apache Spark and Databricks - Data Ingestion, Processing, and Migration Utilities - Real-time Analytics and Compute Services (Airflow, Step Functions) Facilitate engaging sessions virtual and in-person and adapt instructional methods to suit diverse learning styles. Guide learners through hands-on labs, coding exercises, and real-world projects. Assess learner progress through evaluations, assignments, and practical assessments. Provide mentorship, resolve doubts, and inspire confidence in learners. Collaborate with the program management team to continuously improve course delivery and learner experience. Maintain up-to-date knowledge of AWS and data engineering best practices. Ideal Candidate Profile: Experience: Minimum 5-8 years in Data Engineering, Big Data, or Cloud Data Solutions. Prior experience delivering technical training or conducting workshops is strongly preferred. Technical Expertise: Proficiency in SQL, Python, and Spark. Hands-on experience with AWS services: Glue, Redshift, Athena, S3, EC2, Kinesis, and related tools. Familiarity with Databricks, Airflow, Step Functions, and modern data pipelines. Certifications: AWS certifications (e.g., AWS Certified Data Analytics Specialty) are a plus. Soft Skills: Excellent communication, facilitation, and interpersonal skills. Ability to break down complex concepts into simple, relatable examples. Strong commitment to learner success and outcomes. Email your application to: careers@edubridgeindia.in.

8-12 years of Cloud software development experience under Agile development life cycle processes and tools Experience in Micro-services architecture. Experience in NodeJS applications Strong knowledge of AWS Cloud Platform services like AWS Lambda, GraphQL, NoSQL databases, AWS Kinesis, Queues like SNS/ SQS topics Strong with Object Oriented Analysis & Design (OOAD) ; Programming languages used for cloud Java , C++ , GO Strong experience on PaaS, IaaS cloud computing. Good hands-on experience in Serverless frameworks, AWS JS SDK, AWS services like Lambda, SNS, SES, SQS, SSM, S3, EC2, IAM, CloudWatch, Kinesis and Cloud Formation. Experience in Agile methodology with tools like JIRA, GIT, GITLAB, SVN, Bit Bucket as an active scrum member. Good to have Okta or oAuth2 knowledge. IoTs, Sparkplug-B knowledge/ work experience is added advantage.

About the Role: OSTTRA India The Role Enterprise Architect - Integration The Team The OSTTRA Technology teamis composed of Capital Markets Technology professionals, who build,supportand protect the applications that operate our network. The technology landscapeincludeshigh-performance, high-volume applications as well as compute intensive applications,leveragingcontemporary microservices, cloud-based architectures. The Impact: Together, we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets. Whats in it for you: The current objective is to identify individuals with 16+ years of experience who have high expertise, to join their existing team of experts who are spread across the world. This is your opportunity to start at the beginning and get the advantages of rapid early growth. This role is based out in Gurgaon and expected to work with different teams and colleagues across the globe. This is an excellent opportunity to be part of a team based out of Gurgaon and to work with colleagues across multiple regions globally. Responsibilities: The role shall be responsible for establishing, maintaining, socialising and realising the target state integration strategy for FX & Securities Post trade businesses of Osttra. This shall encompass the post trade lifecycle of our businesses including connectivity with clients, markets ecosystem and Osttras post trade family of networks and platforms and products. The role shall partner with product architects, product managers, delivery heads and teams for refactoring the deliveries towards the target state. They shall be responsible for the efficiency, optimisation, oversight and troubleshooting of current day integration solutions, platforms and deliveries as well, in addition target state focus. The role shall be expected to produce and maintain integration architecture blueprint. This shall cover current state and propose a rationalised view of target state of end-to-end integration flows and patterns. The role shall also provide for and enable the needed technology platforms/tools and engineering methods to realise the strategy. The role enable standardisation of protocols / formats (at least within Osttra world) , tools and reduce the duplication & non differentiated heavy lift in systems. The role shall enable the documentation of flows & capture of standard message models. Integration strategy shall also include transformation strategy which is so vital in a multi-lateral / party / system post trade world. Role shall partner with other architects and strategies / programmes and enable the demands of UI, application, and data strategies. What Were Looking For Rich domain experience of financial services industry preferably with financial markets, Pre/post trade life cycles and large-scale Buy/Sell/Brokerage organisations Should have experience of leading the integration strategies and delivering the integration design and architecture for complex programmes and financial enterprises catering to key variances of latency / throughput. Experience with API Management platforms (like AWS API Gateway, Apigee, Kong, MuleSoft Anypoint) and key management concepts (API lifecycle management, versioning strategies, developer portals, rate limiting, policy enforcement) Should be adept with integration & transformation methods, technologies and tools. Should have experience of domain modelling for messages / events / streams and APIs. Rich experience of architectural patterns like Event driven architectures, micro services, event streaming, Message processing/orchestrations, CQRS, Event sourcing etc. Experience of protocols or integration technologies like FIX, Swift, MQ, FTP, API etc. . including knowledge of authentication patterns (OAuth, mTLS, JWT, API Keys), authorization mechanisms, data encryption (in transit and at rest), secrets management, and security best practices Experience of messaging formats and paradigms like XSD, XML, XSLT, JSON, Protobuf, REST, gRPC, GraphQL etc Experience of technology like Kafka or AWS Kinesis, Spark streams, Kubernetes / EKS, AWS EMR Experience of languages like Java, python and message orchestration frameworks like Apache Camel, Apache Nifi, AWS Step Functions etc. Experience in designing and implementing traceability/observability strategies for integration systems and familiarity with relevant framework tooling. Experience of engineering methods like CI/CD, build deploy automation, Infra as code and integration testing methods and tools Should have appetite to review / code for complex problems and should find interests / energy in doing design discussions and reviews. Experience and strong understanding of multicloud integration patterns. The LocationGurgaon, India About Company Statement: About OSTTRA Candidates should note that OSTTRAis an independentfirm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global providesrecruitmentservices to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joiningour global team of more than 1,200 posttrade experts. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ yearsMarkitServ, Traiana, TriOptima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group. Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets.Learn more atwww.osttra.com. Whats In It For You Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf -----------------------------------------------------------

About the Role: We are looking for a hands-on AWS Data Architect OR Lead Engineer to design and implement scalable, secure, and high-performing data solutions. This is an individual contributor role where you will work closely with data engineers, analysts, and stakeholders to build modern, cloud-native data architectures across real-time and batch pipelines. Experience: 715 Years Location: Fully Remote Company: Armakuni India Key Responsibilities: Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. Data Modeling: Create and manage logical, physical, and conceptual data models to support various business applications and analytics. Database Design: Design and implement database solutions, including data warehouses, data lakes, and operational databases. Data Integration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. Data Governance: Implemented enforce data governance policies and procedures to ensure data quality, consistency, and security. Technology Evaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the worlds leading brands Documentation: Create and maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. Performance Tuning: Optimize database performance through tuning, indexing, and query optimization. Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA) Required Skills: Helping project teams with solutions architecture, troubleshooting, and technical implementation assistance. Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Minimum7to15 years of experience in data architecture or related roles. Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Expertise with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of data integration tools (e.g., Informatica, Talend, FiveTran, Meltano). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experience with data governance frameworks and tools.