Youtube Growth Manager

Role Overview

We are looking for experienced Azure Databricks Data Engineers with strong hands-on expertise in Apache Spark/PySpark, Python, SQL, and Azure Data Factory (ADF). The candidate will be responsible for designing, developing, and optimizing scalable data engineering solutions on the Azure cloud platform.

Mandatory Skills

• Strong hands-on experience with Azure Databricks
• Strong knowledge of Apache Spark and/or PySpark
• Proficiency in Python
• Strong SQL development and query optimization skills
• Hands-on experience with Azure Data Factory (ADF)
• Experience developing and maintaining scalable ETL/ELT data pipelines
• Good understanding of Azure data engineering concepts and cloud-based data platforms

Key Responsibilities

• Design, develop, and maintain data pipelines using Azure Databricks and ADF
• Develop efficient data processing solutions using PySpark/Spark and Python
• Write complex SQL queries for data transformation, validation, and analysis
• Build scalable ETL/ELT workflows for large datasets
• Optimize Spark jobs, Databricks notebooks, and data pipelines for performance
• Integrate data from multiple sources into Azure-based data platforms
• Implement data quality, validation, error handling, and monitoring mechanisms
• Troubleshoot production issues and provide timely resolutions
• Collaborate with data architects, analysts, developers, and business stakeholders
• Follow best practices for code quality, security, performance, and maintainability

Experience Requirements

For 5+ Years

• 5+ years of overall experience in data engineering
• Strong hands-on experience in Azure Databricks, PySpark/Spark, Python, SQL, and ADF
• Experience working on enterprise-scale data pipelines

For 9+ Years

• 9+ years of overall experience in data engineering
• Strong expertise in Azure Databricks and modern Azure data engineering
• Proven experience designing and optimizing large-scale data pipelines
• Ability to lead technical discussions and mentor junior engineers

Preferred Skills

• Azure Data Lake Storage (ADLS)
• Delta Lake
• Databricks Workflows
• Azure DevOps / CI-CD
• Git
• Data warehousing concepts
• Experience with Agile/Scrum methodologies

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

• Strong UX-focused Product Design Profile
• Mandatory (Experience 1) – Must have 8+ YOE in Product Design, with a focus on UX Research, Designs and Design Operations, primarily in the B2B domain
• Mandatory (Experience 2) - Must have strong experience with Large-scale B2B Enterprise products, and should be leading multiple verticals in the ERP products
• Mandatory (Experience 3) – Must have strong experience in Project Management and Design operations - Like leading Design sprints, team task allocation, delivery planning and estimation
• Mandatory (Designation) – Must be Manager / Staff or above designation in Current role
• Mandatory (Team Managememt) - Must have atleast recent 2+ YOE as a Team Manager (Not mentoring, should be in a complete Manager role)
• Mandatory (Portfolio) - Must have strong B2B Products Case Studies for Complex B2B Enterprise level applications, with multiple connected modules (Dont want just simple UI screens in portfolio)
• Mandatory (Company) - Large-Scale B2B SaaS / Enterprise-level Products

Preferred

• Preferred (Experience) - Automotive, Retail or Dealerships domain experience

Responsibilities:

● Promote and sell our products to new and existing customers through effective sales techniques, presentations, and demonstrations.

● Build and maintain strong relationships with clients, understanding their business requirements, and providing solutions to meet their needs.

● Achieve sales targets and objectives by proactively prospecting and closing sales deals.

● Collaborate with the other GTM teams to develop and implement sales strategies, including pricing, discounts, and promotions, to drive revenue growth.

● Keep abreast of product knowledge, industry trends, and competitors to effectively communicate value propositions and differentiate our offerings.

● Prepare and deliver sales proposals, quotes, and contracts, ensuring accuracy and timely follow-up to secure customer commitment.

● Provide regular reports and updates on sales activities, including pipeline status, sales forecasts, and customer feedback.

● Attend industry events, trade shows, and conferences to network with potential clients and promote our products or services.

● Collaborate with the customer service team to address customer inquiries, resolve issues, and ensure high customer satisfaction.

About IQnext:

We're revolutionizing the way buildings are managed, shifting them away from traditional facilities management to a smarter, data-driven approach. IQnext is an integrated, centralized platform that is disrupting buildings and real estate infrastructure with its new-age cloud-based solution, delivering long-term sustainability and operational efficiency that is scalable across portfolios.

Job Summary :

To achieve our ambitious goal, we are looking for a Business Development (BD) Manager who is proactive in nature and works in a pre-sales and sales role, and generates leads on his/her own using different methods (B2B portals, emails, cold calls) from the enterprise/channel customer segment.

Opportunity:

In this role, you will be responsible for driving new sales and the growth of IQnext in the channel/reseller segment. The person in this role will pioneer some of IQnext’s biggest deals by landing new logos and formalizing enterprise-wide relationships with companies via resellers/channel partners. You will gain knowledge and experience in the new age industry of SaaS and cloud.

In this role, you will report to the Head of Sales and Partnership & closely work with Cofounders.

Responsibilities:

• Identify potential customer targets from channel/reseller segments.
• Apply consultative sales skills to build relationships with channel/resellers to generate new business from their network -Close deals, acquire new customers, generate revenue

We’re looking for someone who:

• Is passionate about sales + technology.
• Has proven experience of 3-5 years in B2B / Corporate / Channel sales and selling tech-based products/solutions to business and technology stakeholders interacting with key decision makers.
• Has worked in the Commercial Real Estate segment and Selling experience in Facility Management Solutions, Building Management systems.
• Has experience in Pre-Sales & Sales.
• Team player, with excellent oral & written communication, and presentation skills and must be able to articulate technology & product positioning to both business & technical users.
• Has knowledge of the corporate/enterprise procurement process, decision-making criteria, processes they use, etc
• Is extremely motivated to succeed and is a problem solver.
• Knowledge of complex decision-making groups (or ability to grasp this quickly)
• Proven track record of planning sales pipelines.
• Well organized, analytical, detail-oriented, and quality-minded, able to eliminate sales obstacles through creative and adaptive approaches.

Benefits:

Incentive on sales

Medical Insurance (including dependants)

Employee Stock Options (ESOP)

• Maintaining files for every employee
• Updating and maintaining HR MIS report on a timely basis
• Getting employees bank account open
• Getting acceptance on Employment Agreement and filling it
• Getting their ID card and Visiting card printed
• Managing statutory compliance

Desired Candidate Profile

• 2-3 years in Human Resource, managing HR operations and HR compliance
• Knowledge of PF/ESIC and compliances    

• Develop and manage digital marketing campaigns

• Manage organizations website

• Optimize content for the website and social networking channels such as Facebook, Twitter, Instagram, Google Plus, etc

• Track the website traffic flow and provide internal reports regularly

• Fix any error in online content and arrange webinars and webcasts

• Attend networking events and product launches.

• Identify new digital marketing trends and ensure that the brand is in front of the industry developments.

• Work on SEO of the website pages.

• Edit and post content, videos, podcasts, and audio content on online sites.

• Promote companys product and services in the digital space.

• Execute social media efforts to improve KPIs, likes, shares, tweets, etc.

• Creating and executing SMS, and email-based marketing campaigns.