Corporate Sales Executive

Job Description :

Position Name : CUDA Developer

Experience : 5+ Years

Opportunity : Full-time, 8 hours/day (4-hour overlap with PST)

Notice Period : Immediate

Summary :

We are looking for an experienced CUDA (Compute Unified Device Architecture) Developer with strong expertise in parallel computing and performance optimization.

Responsibilities :

• Optimize and debug CUDA applications for high performance.
• Improve algorithm efficiency through effective parallelization.
• Stay updated with the latest CUDA advancements.

Requirements :

• Experience : 5+ Years in Software Development, including 3+ Years in CUDA and 5+ Years in C++.
• Technical Skills : Proficiency in C/C++, CUDA (12.0+ preferred), cuBLAS, cuDNN, and performance tuning.
• Other Skills : Strong problem-solving, teamwork, and communication skills.

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Roles & Responsibilities

• The role will entail enabling new products & propositions liaising with clients, insurers and internal stakeholders to solve business problem(s) and ensure mutual growth.
• The role will entail building and manage relationships with the Insurance Companies.
• Establish relationships with business leaders and underwriters of all insurance companies.
• Be primarily responsible for getting the best quotations across insurers, handle negotiations around policy terms and price.
• Be accountable for end-to-end group insurance product delivery for our partners.
• Maintain and improve the UAT sign off TATs as aligned by the organization.
• Develop and deepen both existing and new insurer relationships to support the strategic vision of the organization.
• Own overall delivery of the product from functions across product, compliance, legal, tech, and other functions.
• Be accountable for the delivery of API integration of new products with partners ecosystem (Web service and API integration).

Requirements, Desired Skills and Experience

• 4 years of relevant experience with any Insurance Company
• 4 years of relevant experience in the Insurer Relations Team, Central Product Team,
• Placements Team, Distribution Planning, Partner Onboarding, Process Excellence vertical/teams
• Masters degree is a must
• Entrepreneurial mindset, networking, and relationship building are must-have competencies
• Ability to take initiative, be proactive and work independently as well as with team to drive results

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Experience: 4.1-7 years
• Must have Skills: JavaScript ES6, MySQL, RabbitMQ, Redis, Node JS
• Strong technical background with node.js, event loop understanding, unit testing, developing web application & APIs, event & stream, call-back & closures, promise, async/await, accessing file system, Optimization techniques.
• Strong experience in JavaScript, Express.js, GraphQL
• Strong knowledge of REST, microservices, cloud development and design patterns
• Comfortable using modern tools and platforms such as Docker, Jenkins, Gitlab CI, etc.
• Comfortable using agile methodologies.
• Understanding of different components such as web server, storages, integrations
• Should have worked on designing and building server-side solutions (in any technology), build process of node.js, CI/CD process of node.js, multi-tasking (working on multiple things at same time)
• Good knowledge of functional and Object-Oriented Programming
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.
• Familiarity with Azure pipeline
• Should have experience in Identifying software application weaknesses and target areas and sketching out ideas for automated software test procedures. Reviewing software bug reports and highlighting problem areas.
• Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
• Fundamental knowledge of design patterns
• Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
• Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
• Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project.
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs.
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

• Able to identify prospects
• Able to pitch products and services
• Driven by targets and motivated to do sales
• Outbound calling on data collected through lead generation activities / secondary data sources
• Daily follow-ups on older leads and work on new leads
• Good networking skills
• Able to make 120-150 calls a day

• Or English + 2 regional language

Need to use behavioral science, Gamification, virality, human-centered design methodologies and entertainment-based techniques to motivate people to take action. 

◆ BEHAVIOR DESIGN – applying behavior science and psychology to program and digital/app design, UX, message framing, gamification and behavioral economics-based "nudges" that influence behaviors  

◆ PERSUASIVE COMMUNICATIONS – devising copy that leads to action for marketing materials, brand names, websites, apps, video scripts and more  

◆ TRANSMEDIA STORYTELLING – working across media with a research-proven approach to craft stories, comics and educational games about your issue that lead to behavior change

  ◆ STRATEGY DEVELOPMENT – clarifying goals and objectives, segmenting the audience and their needs, specifying the marketing mix, crafting program design, branding and messaging  

◆ FORMATIVE RESEARCH – understanding your priority audiences and the competitive environment in which the program will be carried out, through methods like surveys, interviews, focus groups, social media analysis and ethnography  

◆ EVALUATION – designing an evaluation plan, setting up metrics and tracking mechanisms, conducting research, and providing results and recommendations in action-focused reports