UX Designer

Strong Data engineer profile

Mandatory (Experience 1): Must have 2+ years of hands-on Data Engineering experience.

Mandatory (Experience 2): Must have end-to-end experience in building & maintaining ETL/ELT pipelines (not just BI/reporting).

Mandatory (Technical 1): Must have strong SQL capability (complex queries + optimization).

Mandatory (Technical 2): Must have hands-on Databricks experience.

Mandatory (Role Requirement): Must be able to work independently, troubleshoot data issues, and manage large datasets.

Execute marketing campaigns through FB Ads ensuring high ROAS

Optimize campaigns to achieve the best ROI & meet targets

Handle various campaign: conversion, website clicks, traffic, remarketing, etc.

Conduct A/B testing on campaigns to improve ROI

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

Your Roles and Responsibilities:

Business Development is a critical aspect of our platform business.

1. Actively seeking out new sales opportunities through cold calling, networking, and social media.

2. Calling 65-70 leads every day

3. Setting up meetings with potential clients (parents)

4. Generating Trial Classes - Pitch Parents to take PlanetSpark Trial Classes

5. Negotiate/close deals and handle complaints or objections

6. Follow and achieve the department’s sales goals on a monthly, quarterly, and yearly basis (3L revenue per month)

7. “Go the extra mile” to drive sales

What are we looking for?

1. Proficiency in English

2. Thorough understanding of marketing and negotiating techniques

3. Fast learner and passion for sales

4. Self-motivated with a results-driven approach

5. Proven experience in sales or relevant roles is a plus

6. A friendly and energetic personality with a customer service focus

Criteria

1. Willing to work 5 days a week in a fast-paced startup

2. Ready to work from Office and join immediately.

Mission Statement

1. In your training of 1st month, we shall actively probe you through the process using Training Decks, Live Experiences, and Re-Training Programs that aim to give you an overall Learning experience along with your paid stipend along the journey.

2. We create career-oriented BDT in this 1 month whose skill becomes unmatched across the sector.

3. You are required to use the right sales strategy and accomplish 1 Lac of revenue in the training period, hence making a way to achieve a License to Sell (L-2-S)

4. You will be entitled to a training stipend of INR. 21428. In-office attendance of 90% is mandatory in 1month of training

5. Post 1L Revenue achievement, you will be entitled to the below CTC

India Shift – INR 6.6 LPA (4.23 LPA Fixed + 2.4 LPA Variable)

US/ Canada Shift - INR 7.10 LPA (4.8 Fixed + 2.3 LPA Variable)

Skill Required - Excellent Communication Experience Required - 00-1 year (fresher also welcome)

Minimum Education: Graduation

2018, 2019, 2020,2021,2022.

Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.

Must Have Skills

• Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
• Leading in the identification, isolation, resolution and communication of problems within the production environment.
• Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
• Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
• Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
• Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
• Works on multiple platforms and multiple projects concurrently.
• Performs code and unit testing for complex scope modules, and projects
• Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)

• Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
• Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
• Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector,  JMS source connectors, Tasks, Workers, converters, Transforms.
• Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
• Working knowledge on Kafka Rest proxy.
• Ensure optimum performance, high availability and stability of solutions.
• Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
• Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.  Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem. 
• Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
• Ability to perform data related benchmarking, performance analysis and tuning.
• Strong skills in In-memory applications, Database Design, Data Integration.