29 Aws Kinesis Jobs - Page 2

We are looking for Software Developer to work in the R&D Cloud Team designing, building and deploying high-performance, highly-scalable cloud/server based software applications and solutions around monitoring, managing and controlling network devices, and transforming collected data into pragmatic, actionable insights across a variety of core business areas including R&D engineering, customer support and marketing/business development What you should ideally bring: MS/BS in Computer Science/Engineering or similar field 5+ years of 'solid' software design and development experience with good understanding of software analysis and design patterns Strong working knowledge and experience developing software in Java Full Stack and SQL Hands-on experience designing and building enterprise-grade, scalable and distributed server/cloud applications and solutions Good understanding of common network, web protocols and standards Experience in at least one of the following web application development languages/frameworks: J2EE, Spring, PHP, Python, Node.js Having used Java 17 and Spring 2.7.7 is a big plus Profound knowledge of Software Development Best Practices, Clean Code & Clean Architecture Being experienced in OOP, CI/CD, UnitTest (Junit4-5, Mockito), TDD, SOLID and curious about relevant principles, and taking care to apply them, Good understanding of cloud/server hosting infrastructures, associated components (networking, security, load balancing, storage, etc.), and design/implementation considerations for cost, performance, scalability and high-availability Knowledge and experience in the following cloud/enterprise computing technologies/solutions/tools are strongly preferred: E2E knowledge and experience in Cloud applications for AWS or equivalent cloud Major AWS service components (EC2, Autoscaling, ELB, EFS, S3, Route53, CloudWatch, CloudFormation, etc.) or equivalent in other cloud systems RDBMS (MySQL, PostgreSQL) Enterprise Messaging solutions (Kafka, RabbitMQ, etc.) Distributed caching solutions (Redis, Memcached, etc.) NoSQL solutions (HBase, Cassandra, MongoDB, etc.) Working, hands-on experience and knowledge on Unix/Linux and/or derivatives Understanding/writing technical documentation using UML diagrams Excellent problem analysis and solving skills Desire and positive attitude to work in a fast-paced, team-oriented, rapidly changing environment Effective communication and documentation skills

Data Pipeline Design and Implementation Data Storage and Management Data Integration and Transformation Monitoring and Optimization. Need to Train candidates.

About The Role : Must have knowledge in Azure Datalake, Azure function, Azure Databricks, Azure data factory, PostgreSQL Working knowledge in Azure devops, Git flow would be an added advantage. (OR) SET 2: Must have working knowledge in AWS Kinesis, AWS EMR, AWS Glue, AWS RDS, AWS Athena, AWS RedShift. Should have demonstrable knowledge and expertise in working with timeseries data. Working knowledge in delivering data engineering / data science projects in Industry 4.0 is an added advantage. Should have knowledge on Palantir. Strong problem-solving skills with an emphasis on sustainable and reusable development. Experience using statistical computer languages to manipulate data and draw insights from large data sets :Python/PySpark, Pandas, Numpy seaborn / matplotlib, Knowledge in Streamlit.io is a plus Familiarity with Scala, GoLang, Java would be added advantage. Experience with big data tools:Hadoop, Spark, Kafka, etc. Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo dB Experience with data pipeline and workflow management tools:Azkaban, Luigi, Airflow, etc Experience building and optimizing big data data pipelines, architectures and data sets. Strong analytic skills related to working with unstructured datasets. Primary Skills Provide innovative solutions to the data engineering problems that are faced in the project and solve them with technically superior code & skills. Where possible, should document the process of choosing technology or usage of integration patterns and help in creating a knowledge management artefact that can be used for other similar areas. Create & apply best practices in delivering the project with clean code. Should work innovatively and have a sense of proactiveness in fulfilling the project needs. Additional Information: Reporting to :Director- Intelligent Insights and Data Strategy Travel :Must be willing to be deployed at client locations anywhere in the world for long and short term as well as should be flexible to travel on shorter duration within India and abroad

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Machine Learning Good to have skills : AWS Kinesis, AWS Glue, Amazon SageMaker Minimum 7.5 year(s) of experience is required Educational Qualification : Should be a graduate Should be AWS certified Data AnalystAWS Certified Data Engineer Associate Certification Summary :As a Software Development Engineer with expertise in Machine Learning, you will be responsible for analyzing, designing, coding, and testing multiple components of application code across one or more clients. Your typical day will involve working with AWS Kinesis, AWS Glue, Amazon SageMaker, and other machine learning tools to develop and deploy advanced machine learning models. Roles & Responsibilities: Lead the development and deployment of advanced machine learning models using AWS Kinesis, AWS Glue, Amazon SageMaker, and other machine learning tools.-Help our customers to remove the constraints that prevent them from leveraging their data to develop business insights Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms. Collaborate with cross-functional teams, applying expertise in diverse machine learning algorithms, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity. Stay updated with the latest advancements in machine learning and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Expertise in Machine Learning ,AWS Kinesis, AWS Glue, Amazon SageMaker. Good To Have Skills:Amazon Redshift, Amazon EMR, Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Machine Learning. The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications Should be a graduate Should be AWS certified Data AnalystAWS Certified Data Engineer Associate Certification