Graphic Designer

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

Meet the Team: Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.

Role Overview: This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:

● Drive complex backend architecture initiatives that span across multiple engineering and technology domains.

● Lead strategic R&D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide. ● Spearhead our Multi-Cloud & Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.

What our ideal candidate may look like:

● 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.

● A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.

● Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.

● In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support

● Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.

● Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.

● Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.

● Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.

● Proven experience mentoring engineers and guiding architectural decisions at scale.

What We Offer

● Opportunity to lead large, high-impact projects for global Fortune 500 clients.

● Work in a high-growth startup environment with a flat, collegial culture.

● Best-in-class remuneration and benefits.

● A platform for personal and professional growth with ownership and autonomy.

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

What you'll do

Greetings from Trigent Software!!

Hiring for Customer Support Executive -International Process

**Only candidates who have excellent communication can apply**

Role: Customer Support Representative

Process: Voice

Mode of Work: Work from Office

Location: Bangalore

Working Days: 5 days

Shift: US Shift

Qualification: Graduates (Fresher) & Grads and Undergrads (Exp)

Salary: 0 months to 7 months - 3 LPA

8 months to 5 years - 4.8 LPA

Responsibility:

Identify and conduct communications activities to improve agent effectiveness and increase customer satisfaction.

Create focused communications to reinforce existing processes or introduce new ones.

Help manage the tools used for agent communications.

Good verbal and written communication Minimum 0 - 4 yrs voice customer service experience (not just any customer service), having been part of escalation desk in the past would be an added benefit Work from client location in bengalore on the basis of US shift.

Rounds of Interview: VERSANT > CD > OPS

Preferred Candidates Profiles:

* Candidate should be comfortable working in US Shift

* Candidate should be comfortable working in a Contractual role

Perks and Benefits:

* 2 way cab facility

Regards,

Trigent Software

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 Role:

As a senior R&D Java Engineer, you will work in a highly collaborative, dynamic environment. Your work will impact a lot to make world bit safer place. You’ll design creative solutions to problems faced by companies due to cyber attacks. You will work closely with other partners such as product and pre-sales managers, UI developers, and other software engineers to develop new product offerings and improve the efficiency of the solution.

Responsibilities:

• Develop, modify, and implement, the software components of Nimesa Product.
• Assist QA Engineers with the creation and review of the test cases
• Write junits and test automation if anything required to have the coverage
• Assist other Engineers with the creation of detailed software design specifications.
• Keep an eye out for technology trends, and open-source projects that can be used.

Requirements:

• Bachelor's or Master's degree in computer science or relevant fields.
• At least 3+ years experience in end-end software development for large design and coordinating project teams in the SaaS industry.
• Software development experience with Java and Spring / Springboot, RabbitMQ, MYSQL etc
• Must have worked on fairly complex products from scratch
• Strong knowledge of data structure, multithreading and other comp science concepts (SQL or NoSQL)
• Excellent social and communication skills
• Demonstrated expertise in building Web Applications, Enterprise Applications, Web Services, and Management at scale is a requirement.
• Experience with Design patterns
• Knowledge of cloud-based architectures, deployment and operational aspects of Amazon Web Services cloud

Roles & Responsibilities:

• Keeping oneself updated about the recent upgrades and projects of the company.
• 
  
• Responsible for calling potential customers, explaining our offers and fix meeting for sales team.
• 
  
• Responsible for calling customers & answering their queries related to the product/services.
• 
  
• Contact potential and existing customers to explain the product & services offered.
• 
  
• Keep records of calls & inquiries and note useful information.
• 
  
• Asking questions to the customer and understanding their real estate requirement.
• 
  
• Set appointments with prospective customers based on our associates’ schedules.

Responsibilities:

• Provide daily support with resolution of escalated tickets and act as liaison to business and technical leads to ensure issues are resolved in timely manner.
• Incident resolution and supporting production system deployments.
• Suggest fixes to complex issues by doing a thorough analysis of root cause and impact of the defect.

• Support and deliver within Continuous Integration/Continuous Delivery pipelines.

• Prioritise workload, providing timely and accurate resolutions.
• Perform production support activities which involve assignment of issues and issue analysis and resolution within the specified SLAs.
• Understand linux. SSH to linux box, look for web logs etc
• Understand web apps to be able to troubleshoot issues

Requirements:

• Good to have programming experience with Python.
• Java and JavaScript development experience would be an added advantage.
• You should not be afraid to do some development as well as Devops.
• Clear written and oral communication is a must.

• Design of the overall architecture of the web application.
• Optimization of the application for maximum speed and scalability.
• Solve complex performance problems and architectural challenges.
• Integration of user-facing elements developed by front-end developers with server-side logic.
• Learn and use core AWS technologies to design and then build available and scalable backend web services and customer-facing APIs.
• Troubleshoot and debug support issues and code blues autonomously.
• Assure quality of the solutions being developed within the team.
• Maintain technical mastery of the products being developed.
•  Person with a track record of delivering innovative solutions in the field of algorithm development.

• Strong knowledge of PHP frameworks such as Laravel Symfony etc. depending on your technology stack.
• Experience in working with MySQL database and analyzing the efficiency of queries.
• Worked with real time web applications and event driven architectures like Node.js or jQuery.
• Full-cycle PHP code development experience including debugging and performance analysis.
• Building scalable and performance oriented services with caching techniques and systems like Memcached, redis.
• Experience with NoSQL and distributed database like MongoDB, Cassandra or Redis.
• Comfortable with search engines like Solr or ElasticSearch.
• Working understanding of NGINX and Apache web servers.
• Working knowledge of RESTful paradigms and to build API for our front services and mobile applications.
• Passion for products, empathy for users, and aspiration to make big impact.
• Strong database design and query writing skills with a commitment to performance and efficiency.
• Solid engineering principles and clear understanding of data structures and algorithms.
• Knowledge of service-oriented architecture, microservices, and distributed systems.
• Strong problem-solving skills, algorithmic skills, and data structures.
• Experience in agile methodologies like Scrum.
• Good understanding of branching, build, deployment, continuous integration methodologies.