Architect

We are looking for a detail-oriented Sales Development Representative (SDR) with experience in lead qualification for SaaS solutions. The role involves assessing and qualifying inbound leads, ensuring only high-quality prospects move forward in the sales process. You will play a crucial role in evaluating fit, understanding customer needs, and handing off well-vetted leads to the sales team.

Key Responsibilities:

• Assess and qualify inbound leads based on predefined criteria.
• Engage with prospects via calls, emails, and LinkedIn to understand their needs and pain points.
• Conduct initial discovery calls to evaluate lead quality and readiness for the sales team.
• Identify key decision-makers and ensure alignment with our SaaS solutions.
• Maintain accurate and up-to-date lead records in the CRM (e.g., HubSpot, Salesforce).
• Collaborate closely with Account Executives for seamless lead handover.
• Provide feedback to marketing and sales teams to refine lead qualification strategies.
• Stay updated on industry trends and competitors to better assess potential customers.

What We’re Looking For:

• 1-3 years of experience in SaaS sales, lead qualification, or a similar role.
• Strong ability to assess and qualify leads efficiently.
• Excellent verbal and written communication skills.
• Experience using CRMs like HubSpot, Salesforce, or other sales tools.
• Strong analytical mindset to evaluate prospect fit.
• Ability to handle objections and guide prospects toward the right solutions.
• Self-motivated, detail-oriented, and a team player.

Why Join?

• Opportunity to work in a high-growth SaaS company.
• Competitive salary with performance-based incentives.
• A collaborative and supportive work environment.
• Learning and development opportunities to enhance your career in sales.

Responsibilities :

- Develop server side applications in C++

- Contribute in analysis based on requirements. Analysis can be in the form of research and producing Proof of Concepts.

- Produce documents and specifications wherever required.

- Work collaboratively with other developers and QA engineers to deliver the solutions.

SEO,Digital Marketing,Display Advertising,SEM,Google Analytics,Google AdWords,Online Marketing,SMO,Webtrends,Digital Campaigns,Social Media,Social Media Manager,Facebook Marketing,facebook sales,Graphic Designing,Email Marketing

Job Description :

  Fluenct is English

  Proven track records

  Strategic digital acumen & ability to execute flawlessly

  Development & Maintenance of digital channels (website , email , social media ) including online content distribution & social listening

  Planning digital media campaigns , including web SEO / SEM , email , social media & display advertising

  Guard the brand guidelines, identity & usage in the social media space across various mediums

  Develop consumer marketing strategies to successfully establish our brand/s ; digital awareness , growth & loyalty

  Responsible for consumer insights for creating the best in class digital campaigns

  Execute all facets of digital marketing strategy from paid media to social engagement to launch activations

  Content marketing strategies must have experience in storytelling campaigns

  Drive organic acquisitions of consumers via SEO , SEM programs

  Drive digital audience understanding & profiling exercises

  Evaluate , develop , manage , test & implement Ecommerce initiatives

Skills & Competencies:

  Minimum 3 years experience in Digital Marketing.

  Analytical & Data oriented marketing focus to drive results

  Hands on digital expertise in SEO , SEM , Social & Organic Marketing programs

  Exposure & understanding of content business will be an advantage

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.

Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists

Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)

 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus

Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark

Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

Job Description: 

An Azure Data Engineer is responsible for designing, implementing, and maintaining pipelines and ETL/ ELT flow solutions on the Azure cloud platform. This role requires a strong understanding of migration database technologies and the ability to deploy and manage database solutions in the Azure cloud environment.

Key Skills:

·      Min. 3+ years of Experience with data modeling, data warehousing, and building ETL pipelines.

·      Must have a firm knowledge of SQL, NoSQL, SSIS SSRS, and ETL/ELT Concepts.

·      Should have hands-on experience in Databricks, ADF (Azure Data Factory), ADLS, Cosmos DB.

·      Excel in the design, creation, and management of very large datasets

·      Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL, and reporting analytics tools and environments.

·      Skilled with writing, tuning, and troubleshooting SQL queries

·      Experience with Big Data technologies such as Data storage, Data mining, Data analytics, and Data visualization.

·      Should be familiar with programming and should be able to write and debug the code in any of the programming languages like Node, Python, C#, .Net, Java.

Technical Expertise and Familiarity:

• Cloud Technologies: Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)
• Database: CosmosDB, Document DB  
• IDEs: Visual Studio, VS Code, MS SQL Server
• Data Modelling,ELT, ETL Methodology

.NET C# developer provides custom web application development using the .NET Framework, C#, http://VB.NET">VB.NET, http://ASP.NET">ASP.NET, SQL Server and other advanced components of Microsoft technology and provide training to programmer analysts who support the web services manager' responsibilities.

Responsibilities:

 The tool development also involves working with SQL queries and web front end

Designing, developing, and testing web applications with .Net HTML, CSS and other technologies

Design and development of software applications (primarily web based) used in various areas of the bank (such as Loans processing, Treasury, Middle Office )

Manages the architecture, design, and coding of software for TFI from concept to finished product, in order to answer the needs of the Strategies, Sales, and Trading departments

Consults with end users within the Strategies, Sales, and Trading departments to identify where technology can automate current processes to enhance revenues and cut cost

Maintains currency in technical skills and all relevant fixed income industry sector factors

May lead the work of others and provide ideas which help to enhance TFI software applications

Software design & development principles such as SOLID, Domain-Driven-Design and Object-Oriented Development

ORM frameworks, particularly the Entity Framework

• Cold Calling/ Lead Generation.
• Meeting The Clients/Visiting Potential Customers For New Business
• Understanding the Requirements of Clients.
• Presenting To Them All The Services Provided By Our Company Along With Seniors
• Providing Customers With Quotations
• Negotiating And Providing With The Terms And Conditions Of The Agreement And Close Sales
• Coordinating With The Clients And The Execution Team
• Maintaining/ Retaining Present Clients
• Gather Market And Customer Information And Provide Feedback On Buying Trends
• Identify New Markets And Business Opportunities
• Contribute To Team Effort By Accomplishing Related Results As Needed
• Review Your Own Sales Performance To Team Leader

• Key responsibility is to design, develop & maintain efficient Data models for the organization maintained to ensure optimal query performance by the consumption layer.
• Developing, Deploying & maintaining a repository of UDXs written in Java / Python.
• Develop optimal Data Model design, analyzing complex distributed data deployments, and making recommendations to optimize performance basis data consumption patterns, performance expectations, the query is executed on the tables/databases, etc.
• Periodic Database health check and maintenance
• Designing collections in a no-SQL Database for efficient performance
• Document & maintain data dictionary from various sources to enable data governance
• Coordination with Business teams, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
• Data Governance Process Implementation and ensuring data security

Requirements

• Extensive working experience in Designing & Implementing Data models in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc).
• Programming experience using Python / Java.
• Working knowledge in developing & deploying User-defined Functions (UDXs) using Java / Python.
• Strong understanding & extensive working experience in OLAP Data Warehousing (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) architecture and cloud-native Data Lake (S3, ADLS, BigQuery, etc) Architecture.
• Strong knowledge in Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model.
• Extensive technical experience in SQL including code optimization techniques.
• Strung knowledge of database performance and tuning, troubleshooting, and tuning.
• Knowledge of collection design in any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc), along with implementation of best practices.
• Ability to understand business functionality, processes, and flows.
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
• Any OLAP DWH DBA Experience and User Management will be added advantage.
• Knowledge in financial industry-specific Data models such as FSLDM, IBM Financial Data Model, etc will be added advantage.
• Experience in Snowflake will be added advantage.
• Working experience in BFSI/NBFC & data understanding of Loan/Mortgage data will be added advantage.

Functional knowledge

• Data Governance & Quality Assurance
• Modern OLAP Database Architecture & Design
• Linux
• Data structures, algorithm & data modeling techniques
• No-SQL database architecture
• Data Security