Bigdata Engineer

Job Overview:

We are seeking an enthusiastic Telecaller to join our dynamic sales and marketing team. In this role, you will be pivotal in reaching out to potential clients, presenting our EdTech products and services, and generating valuable leads. Your efforts will directly contribute to expanding our customer base and driving company growth.

Key Responsibilities:

• Outbound Calls: Initiate calls to potential clients, including schools, colleges, and individual learners, to introduce them to our EdTech solutions.
• Lead Generation: Identify and qualify leads through proactive cold calling and follow-up on inquiries.
• Product Explanation: Clearly explain our offerings, address questions, and handle concerns to spark interest and engagement.
• Follow-Up: Maintain regular contact with leads and prospects to nurture relationships and guide them through the sales process.
• Database Management: Accurately update and manage customer databases with relevant information.
• Reporting: Provide regular reports on call activities, lead status, and progress towards sales targets.
• Customer Feedback: Gather and communicate customer feedback to enhance our product offerings and improve satisfaction.
• Collaboration: Coordinate with the sales team to ensure seamless transitions from lead generation to sales closure.

Qualifications:

• Experience: 1-2 years in telecalling, ideally within the Banking sector.
• Communication Skills: Exceptional verbal communication skills with a clear and engaging speaking style.
• Customer-Centric: Strong ability to understand and address customer needs effectively.
• Persistence: Proven track record of handling rejection and staying motivated to meet targets.
• Tech-Savvy: Comfortable with CRM software and telecalling tools.

In this role, you will have the opportunity to:

• Use domain knowledge along with research and analytical skills for market sizing, market landscaping, workflow analysis, pricing analysis in the IT industry for SAAS Products
• Analyzing data, developing reports and dashboards, and communicating insights to the business. The role will stretch across the breadth of our organization and have both global and region-specific coverage
• Excel based analysis linking multiple data points to identify impactful insights and trends in data
• Present research findings to key stakeholders over PPTs  
• Data prep and QC as and when needed to ensure data accuracy
• Liaise with key senior business stakeholders to understand their business problems and propose analytical solutions.
• Blend technical analytics skills along with a strong domain/business understanding to help our marketing & commercial organizations take the right strategic decisions
• Build expertise on the market landscape in the context of the business, through individual learning and regular interactions with the team
• Supporting broader team programs, processes and simplification initiatives, as needed

The essential requirements of the job include:

• 2-5 years' experience in IT industry in Analytics; MBA would be an added advantage
• Demonstrated strong interpersonal & communication skills within a global environment (oral and written)
• Demonstrated experience in projects involving market sizing, market landscaping, workflow analysis and pricing analytics
• Comfortable handling big data in MS-Excel, creative in presentations, pulling together insights from a variety of sources with effective presentation and story boarding skills
• Problem solver accompanied by strong analytical and process skills, keen attention to detail, be highly organized and methodical
• Self-motivated, willingness to take the initiative to identify opportunities for improvement and take actions to improve

Roles and Responsibilities:

• Individuals are responsible for all traditional development activities analysis, design, coding, testing, and documentation.
• Add new features to existing Windows and Web-based applications in Visual Studio 2019. Interacting with internal team.
• Transform business and design needs into innovative products.
• Drive all projects to completion within deadlines.
• Perform thorough testing to find issues ahead of time.
• Engineering software needs more precise analysis & coding skillset
• Enhance skillset by working with fortune 500 clients
• Interacting with internal team.

Qualifications :

• B.E in computer science or related fields.
• Excellent programming & communication skills Strong problem solving, judgmental, and decision-making skills.
• Ability to work at the tactical and strategic levels of IT initiatives.
• Impressive hands-on experience in Java, database(Oracle), OOPS, Java Swing, Javafx.
• Self-Motivated, flexible & Innovative.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

• Integrate gates into CI/CD pipeline and push all flaws/issues to developers IDE (as far left as possible) - ideally in code repo but required by the time code is in the artifact repository.

• Demonstrable experience in Containerization-Docker and orchestration (Kubernetes)     
• Experience withsetting up self-managed Kubernetes clusters without using any managed cloud offerings like EKS 
• Experience working withAWS - Managing AWS services - EC2, S3, Cloudfront, VPC, SNS, Lambda, AWS Autoscaling, AWS IAM, RDS, EBS, Kinesis, SQS, DynamoDB, Elastic Cache, Redshift, Cloudwatch, Amazon Inspector. 

• Familiarity withLinux and UNIX systems (e.g. CentOS, RedHat) and command line system administration such as Bash, VIM, SSH.
• Hands on experience in configuration management of server farms (using tools such asPuppet, Chef, Ansible, etc.,).

• Demonstrated understanding of ITIL methodologies, ITIL v3 or v4 certification
• Kubernetes CKA or CKAD certification nice to have

1.    Must be graduate (BCA or B.Tech or MCA)

2.    Minimum 1-6 years of experience

3.    Should have strong knowledge in Microsoft business central and Microsoft Dynamics Nav

4.    Strong knowledge of AL

5.    Good communication skill

Job Description:

• Develop front end User Interface of our UKLB Experience Analysis (Biometrics) tool using SharePoint, PowerApps, Power Automate, and Logic Apps
• Connection of UI with back end SQL Database using Logic Apps - Advise solution design as a Logic Apps expert (specifically around UI)
• Responsible for managing technology in projects and providing technical guidance or solutions for work completion

Skills and Experience

• Experience with Azure services like Azure App Services, Azure Active Directory, Azure SQL, Azure PostgreSQL, Key Vault, Azure DevOps, Application Insights, Azure Storage, Redis Cache
• Microsoft Azure Developer Certification
• Experience with .Net SDK, integration tools, Application and Security frameworks
• C#, ASP.NET, Application development using .Net Framework
• Preferred: Insurance or BFSI domain experience
• .Net
• Azure/

Location: Chennai

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility