Assistant Manager – Marketing

The Relationship Manager is responsible for developing and managing the agency channel by recruiting, training, and supporting POSP agents. The role focuses on driving sales performance, strengthening agent relationships, and expanding market presence. The candidate will act as a key link between agents and the company, ensuring smooth communication, performance tracking, and business growth.

Key Responsibilities:

Identify, recruit, and onboard POSP agents

Drive achievement of sales targets through the agency channel

Train agents on insurance products and sales techniques

Support agents in lead generation and business development

Build and maintain strong agent relationships

Monitor agent performance and suggest improvements

Develop strategies to grow agency business and market share

Coordinate with internal teams for agent support and issue resolution

Analyze sales data and prepare performance reports

What you’ll do

• Build and scale backend services and APIs using Python
• Work on cross-language integrations (Python ↔ PHP)
• Develop frontend features using React (Angular is a plus)
• Deploy, monitor, and manage applications on AWS
• Own features end-to-end: development, performance, and reliability
• Collaborate closely with product, QA, and engineering teams

Tech Stack

• Backend: Python (working knowledge of PHP is a strong plus)
• Frontend: React (Angular is a plus)
• Cloud: AWS
• Version Control: Git / GitHub

Experience

• 
  
• 5–10 years of professional software development experience
• Strong hands-on experience with Python
• Hands-on experience deploying and managing applications on AWS
• Working knowledge of modern frontend frameworks

• 1 - 5 years of experience as React JS developer
• Strong proficiency in JavaScript, Typescript React, Redux, HTML5 and CSS.
• Familiarity with RESTful APIs and WebSocket communication
• Experience with responsive design and development.
• Strong hold of front-end functionalities including browser testing and debugging.
• Experience working in Agile development methodology is a plus
• Excellent communication skills and an ability to work effectively in cross-functional and collaborative teams

Work Location : Bangalore

Work mode : Work from office

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.

Job Description – Sr. Full Stack Developer

Summary

You will be responsible for the full software development Lifecyle.

Core Accountabilities

• Motivate, develop, coach, and formally appraise the Software Development team.
• Monitor & co-ordinate any management information and capacity relating to the work of the team.
• Responsible for leading the software development team and providing technical guidance.
• Responsible for full stack, architectural, solution design specification and documentation.
• Responsible for the design, development, modification, maintenance, testing and deployment.
• Develop fully integrated back-end to front-end innovative solutions.
• Design, develop and maintain database solutions associated to data driven platforms.
• Develop to high quality coding standards.
• Responsible for project version control, coding standards, branching strategy and deployment.
• As part of the full development life cycle you will be responsible for continuous integration testing, Unit Testing and Performance Testing.
• Provide advanced technical support escalated from the development support team for all Voyager systems, solutions, and data sets.
• Scope and define detailed product backlog item descriptions that feed into sprint planning.
• Provide effective technical analysis, design requirements and relevant documentation.
• Using appropriate tools to define and communicate the required solution. These may include user journeys, prototypes, and wireframes.
• Coordinate release and sprint planning & conduct daily scrum meetings.
• Develop and maintain a thorough and up-to-date working technical knowledge of digital solutions and the Voyager Worldwide product suite.
• Develop and maintain a detailed technical understanding of our products, systems, technologies, architecture, and data sets.
• Develop and maintain a thorough and up-to-date working technical knowledge and understanding of AI, ML and RPA technologies.
• It should be noted that the above list of main duties and responsibilities is not necessarily a complete statement of the final duties of the post.

Qualifications & Experiences

• 8+ years’ software engineering experience in developing data driven based software solutions.
• 2 years’ leading end to end full stack design, development and implementation.
• Excellent working technical knowledge and understanding of AI, ML and RPA technologies.
• C#.Net: i.e. (.Net Frameworks, WPF, WCF, MVC, MVVM, XAML, Xamarin)
• Python: i.e. (TensorFlow, Keras, Theano, Scikit-learn, PyTorch, NumPy, Pandas)
• JavaScript: i.e. (ES6, Node.js, NPM, Sails.js, Ember.js, React, Mocha, Electron)
• JavaScript framework experience (e.g., Ember, React, Angular)
• jQuery, CSS, and HTML
• Excellent working knowledge and understanding of version control systems such as SVN, TFS & GIT.
• Strong SQL Database design and programming skills.
• Excellent working knowledge and understanding of project management tools such as VSTS DevOps

Minimum of 4+ years of experience as a backend developer.

In-Depth knowledge and experience with C#, .NET Core is must.

Experience in working with API Gateways, REST, OAuth, Rabbit MQ and Microsoft ecosystem technologies.

Experience with databases like Oracle, SQL lite, PostgreSQL etc.

Experience with microservices architecture is a must, and experience over any public cloud(Azure preferred) is an added advantage.

Experience and understanding of OOPS and SOLID design principles and various design and architectural patterns.

Experience in Test Driven Development and automated testing tools like NUnit and SonarQube.

Strong communication and collaboration skills to work effectively with cross-functional teams.

Infovenz is looking for an UI/UX Designer who possesses strong knowledge in impressive user interface design and excellent in creativity.  UI/UX designer will work with our clients and local team to design enterprise web applications. UI/UX designer responsibilities include gathering user requirements, preparing UI prototypes, designing graphic elements and building navigation components. To be successful in this role, you should have experience with software application interface design and modern wireframe tools.

• Gather and evaluate user requirements in collaboration with product managers and engineers.
• Illustrate design ideas using storyboards, process flows and sitemaps.
• Design graphic user interface elements, like menus, tabs, widgets, images and icons.
• Build page navigation buttons and search fields.
• Develop UI mockups and prototypes that clearly illustrate how sites function and look like.
• Identify and troubleshoot UX problems (e.g. navigation, responsiveness).
• Adhere to style standards on fonts, colors and images.