11+ Clustering Jobs in Delhi, NCR and Gurgaon | Clustering Job openings in Delhi, NCR and Gurgaon

·     IMMEDIATE JOINER

Professional Experience with 5+ years in Confluent Kafka Admin

·    Demonstrated experience design / development.

·    Must have proven knowledge and practical application of – Confluent Kafka (Producers/ Consumers / Kafka Connectors / Kafka Stream/ksqlDB/Schema Registry)

·    Experience in performance optimization of consumers, producers.

·    Good experience debugging issues related offset, consumer lag, partitions.

·    Experience with Administrative tasks on Confluent Kafka.

·    Kafka admin experience including but not limited to setup new Kafka cluster, create topics, grant permissions, offset reset, purge data, setup connectors, setup replicator task, troubleshooting issues, Monitor Kafka cluster health and performance, backup and recovery.

·    Experience in implementing security measures for Kafka clusters, including access controls and encryption, to protect sensitive data.

·    Install/Upgrade Kafka cluster techniques.

·    Good experience with writing unit tests using Junit and Mockito

·    Have experience with working in client facing project.

·    Exposure to any cloud environment like AZURE is added advantage.

·    Experience in developing or working on REST Microservices

Experience in Java, Springboot is a plus

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1.   Data Strategy and Vision:

·       Develop and drive the company's data analytics strategy, aligning it with overall business goals.

·       Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2.   Data Analysis and Interpretation:

·       Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

·       Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3.   Data Infrastructure and Tools:

·       Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

·       Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4.   Collaboration and Stakeholder Management:

·       Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

·       Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5.   Performance Measurement:

·       Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

·       Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie 

·      Problem-Solving Skills, should be able to convert Idea on Paper to Code

·      Bachelor’s degree in computer science or related field, or equivalent professional experience.

·      0 - 4 years of database experience (Oracle SQL, PL/SQL)

·      Proficiency in Oracle, with Hands-on experience in database design

·      Creation & implementation of data models.

·      Strong experience with Oracle functions, procedures, triggers, packages.

·      Willing to learn, grasp & quickly adapt needed cutting-edge tools & technologies in shorter timeframe.

·      Should be able to write basic Procedures & Functions.

Job Title: Telesales Representative

Responsibilities:

1. Outbound Calls: Engage potential customers, present products/services using prepared scripts.
2. Product Knowledge: Master details of offerings to effectively communicate benefits.
3. Lead Generation: Qualify leads, gather information, and identify sales opportunities.
4. Sales Pitch: Deliver persuasive pitches, meet/exceed set sales targets.
5. CRM Management: Maintain detailed records using CRM system.

Qualifications:

• Previous telesales experience preferred.
• Strong communication and negotiation skills.
• Goal-oriented with a positive attitude.

Education:

High school diploma or equivalent.

Working Conditions:

Office environment with regular hours; flexibility may be required.

If you're a motivated individual with sales passion, apply to be part of our growing success.

Desired skills and education requirement:

- 1 to 4years of related experience in marketing calls preferably real estate associates/ Bachelors degree.

- Should be comfortable to work from office.

- Excellent English and Hindi.

- Communication skills.

- Convincing skills.

Roles and responsibilities:

- Dialling enquiries and understanding the requirements and sharing relevant information about the properties.

- Updating all the information and scheduling property visits.

- Responding outbound and inbound calls.

- Scheduling follow-up calls and ensuring the clients are contacted.

- Cross pitching properties based on client requirement.

- Allocating leads to respective sales executive and collecting feedback.

- Ensuring all enquiries with feedback are updated regularly in the software.

- Supporting the sales team in pre-sales activities.