
Roles & Responsibilities:
Handle inbound and outbound calls to address customer queries and provide resolutions.
Communicate effectively with customers in a polite and professional manner.
Manage customer interactions in a timely and efficient manner, ensuring high customer
satisfaction.
Maintain accurate records of customer conversations and follow up where necessary.
Collaborate with the team to meet individual and team performance metrics.
Adapt to dynamic customer requirements and handle escalations where required.
Qualifications & Skills:
Education: Minimum qualification: 12th Pass.
Languages Required: Proficiency in Malayalam, Telugu, Tamil, and English (mandatory).
Strong verbal communication skills and an ability to build rapport with customers.
Prior experience in a voice process or customer service is a plus but not mandatory.
Good listening and problem-solving skills.
Basic computer knowledge to manage call-related data and CRM tools.

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● Create and maintain optimal data pipeline architecture.
● Assemble large, complex data sets that meet functional / non-functional
business requirements.
● Building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Maintain, organize & automate data processes for various use cases.
● Identifying trends, doing follow-up analysis, preparing visualizations.
● Creating daily, weekly and monthly reports of product KPIs.
● Create informative, actionable and repeatable reporting that highlights
relevant business trends and opportunities for improvement.
Required Skills And Experience:
● 2-5 years of work experience in data analytics- including analyzing large data sets.
● BTech in Mathematics/Computer Science
● Strong analytical, quantitative and data interpretation skills.
● Hands-on experience with Python, Apache Spark, Hadoop, NoSQL
databases(MongoDB preferred), Linux is a must.
● Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Experience with Google Cloud Data Analytics Products such as BigQuery, Dataflow, Dataproc etc. (or similar cloud-based platforms).
● Experience working within a Linux computing environment, and use of
command-line tools including knowledge of shell/Python scripting for
automating common tasks.
● Previous experience working at startups and/or in fast-paced environments.
● Previous experience as a data engineer or in a similar role.
Strong knowledge in Laravel.
● Should be having excellent development expertise in programming PHP, AJAX, OOPS Concept, Architecture, MySql, Normalization, JavaScript/Jquery and MVC architecture with a commitment to performance and efficiency.
● Workwith frontend technologies including Vue.js/ Nuxt js (basic knowledge) or React.
● Thorough knowledge of languages Java script, HTML5, CSS3, Object Oriented programming and design patterns.
Experience: 3-8 years
Location: Chennai
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Requirements:
- Strong experience with JEE 7 and Java 11, or at least Java 8 with some understanding of Java 11
- Very good with Eclipse / IntelliJ
- Good experience into Angular 8+
- Very strong with Oracle / mySQL specifically SQL queries, stored procedures, functions, triggers
- Having good experience with Maven, Git, Jenkins
- Good hands-on with Spring, Spring Boot
- Very strong with Agile methodologies and strong understanding about DevOps (at least CI / CD concepts and hands-on experience with developing and managing pipelines)
- Clean Code Principles
Internship Duration - 6 months
Stipend- 5000 INR per month
Desired Candidate Profile
Good communication (written and verbal) and interpersonal skills & most importantly a flair for writing.
Should be able to do research using multiple sources.
Ability to meet deadlines.
- Must have excellent writing skills with good vocabulary and grammar.
- Must adhere to deadlines.
What is the role?
We are looking for a Senior Performance Marketing manager (PPC/SEM) who will be responsible for paid advertising for this company across Google Ads, Social ads and other demand-gen channels.
Our ideal candidate has a blend of analytical and creative mindset, passionate about driving metrics while also being very sensitive to brand and user experience, and distinctive at operating in highly collaborative and cross-functional settings. This role partners closely with our Sales, product, design, and broader marketing teams.
Key responsibilities
- Strategise, execute, monitor, and manage campaigns across multiple platforms such as Google Ads (incl. Search, Display & Youtube),, Facebook Ads & Linkedin Ads.
- Oversee growth in performance campaigns to meet the brand's business goals and strategies.
- Should have hands-on experience on managing landing pages, keyword plans, ad copies, display ads etc.
- Should have extremely good analytical skills to figure out the signals in the campaigns and optimize the campaigns using these insights.
- Implement ongoing A/B and user experience testing for ads, quality score, placements, dynamic landing pages and measure their effectiveness.
- Monitor campaign performance & budget pacing on a day-to-day basis.
- Measure the Campaign performance parameters methodically, analyze campaign performance, compile and present detailed reports with proactive insights.
- Be informed on the latest trends, best practices, and standards in online advertising across demand-gen channels.
- Perform Media Mix modeling. Design, develop, and monitor other digital media buying campaigns.
What are we looking for?
- 5-10 years of pure PPC experience, preferably in a SaaS company managing annual budgets of more than 2 mn USD.
- Highly comfortable with Google Ads Editor, Linkedin Ads, Facebook Business Manager & such.
- Strong working knowledge of PPC Automations/Rules/Scripts and best practices with the ability to analyze Campaign metrics on Excel/Data Studio and optimize campaigns with insights.
- Experience working with Ad channel APIs and other data APIs to deep-dive into metrics & make data-informed optimisations.
- [Good to have] Working knowledge of SQL, Data Warehouses (Bigquery), Data connectors/pipelines, blends/joints (for blending multiple data sources) etc.
- In-depth experience with GA4. Clear understanding of Web Analytics.
- Comfortable writing and editing content for ad copies, landing page snippets, descriptions, etc.
- Experience with running Campaigns for US, European, and the global markets.
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at this company
We are
It is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II, Company offers a suite of three products - Plum, Empuls, and Compass. The company works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, Company is a 300+ strong team with four global offices in Dubai, San Francisco, Dublin, Singapore, New Delhi.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
- Maintain UNIX/Linux Operating System
- Create and maintain environment for running batch jobs associated with daily batch cycle and batch reporting subsystem
- Work with LAN/Network personnel to ensure compatibility with LAN applications and peripheral hardware to provide end users with reliable and stable working environment
- Support and maintain other vendor database software installed on the LAN servers
- Perform User Access Management.
- Experience supporting day-today administration functions including user account management and script creation
- Apply Patches and Upgrades as necessary. Perform tasks for Backup and Recovery Management including High Availability
- Install and configure storage arrays and allocate SAN and NAS storage to different OS platforms and/or administer ZFS storage pools, file system, snapshots, and clones.
- Experience in Linux hypervisors KVM, XEN.
- Good knowledge on open stack administration and service operations.
- Good experience on veritas net backup software.
- Strong experience in public clouds AWS, AZURE, GCP.
- Solid knowledge of protocols such as DNS, HTTP, LDAP, SMTP and SNM
- Good understanding on AWS outposts hybrid environment.
- Good experience in the windows server and OS side.
- Experience in Monitoring platforms like Zabbix, ELK, Grafana.
- Troubleshoot Hardware Issues, Installation, and testing of computer peripherals
- Perform/Implement Security Monitoring and audit to identify any possible security intrusions or breaches.
- Collaborate with other teams and team members to develop automation strategies and deployment processes
Qualifications:
- Degree in Computer Science, Computer Engineer, or other related courses
- Minimum of 10 years’ experience
- In-depth knowledge of Linux: RedHat, CentOS, Debian, etc.
- In-depth knowledge in Linux virtualization
- good knowledge of UNIX and LINUX Operating systems, file systems, storage environments, and networking protocols
- Knowledgeable in Unix, Linux, Unix, Linux shell scripting. Practical scripting skills in Shell, PERL, Batch, Python
- good DBA skills MySQL, MariaDB, PostgreSQL, Timescale, MongoDB
- Basic Messaging and Collaboration concepts and tools, Server Virtualization
- Practical understanding of Networking - routing, subnets, UDP, TCP, IP, and VLANs
- Backup and Storage Management (Netback up mandatory).
- Familiar and can identify or interpret crash dump files and core dump files and monitor System Logs
MLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops









