Corporate Sales -Workspace Selling-MNC

• Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure.
• Can drive multiple projects both from operational and technical standpoint.
• Ideate and build PoV or PoC for new product that can help drive more business.
• Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions.
• Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering.
• Lead architecture discussions, align with business needs, security, and best practices.
• Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
• Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
• Understanding of Medallion architecture pattern
• Has worked on at least one cloud platform.
• Has worked as data architect and executed multiple end-end data engineering project.
• Has extensive knowledge of different data architecture designs and data modelling concepts.
• Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.

Required Tech Stack

• Strong proficiency in SQL
• Experience working on any of the three major cloud platforms i.e., AWS/Azure/GCP
• Working knowledge of an ETL and/or orchestration tools like IICS, Talend, Matillion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc.
• Working knowledge of one or more OLTP databases (Postgres, MySQL, SQL Server, etc.)
• Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Azure Synapse, Hive, Big Query, etc.
• Proficient in at least one programming language used in data engineering, such as Python (or Scala/Rust/Java)
• Has strong execution knowledge of Data Modeling (star schema, snowflake schema, fact vs dimension tables)
• Proficient in Spark and related applications like Databricks, GCP DataProc, AWS Glue, EMR, etc.
• Has worked on Kafka and real-time streaming.
• Has strong execution knowledge of data architecture design patterns (lambda vs kappa architecture, data harmonization, customer data platforms, etc.)
• Has worked on code and SQL query optimization.
• Strong knowledge of version control systems like Git to manage source code repositories and designing CI/CD pipelines for continuous delivery.
• Has worked on data and networking security (RBAC, secret management, key vaults, vnets, subnets, certificates)

• Use prospecting strategies, such as Email Campaigns, Account Based Prospecting, LinkedIn Prospecting, Cold calling, Prospect Nurturing, to lead initial outreach to prospects
• Conduct high volume prospecting to generate qualified leads
• Prospecting to USA & SEA markets. 
• Create & update email templates, message templates, and call scripts from time to time
• Generate new leads: Identify and contact decision-makers, screen potential business opportunities.
• Research and identify new business opportunities - including new markets, growth areas, trends, customers, partnerships, products and services - or new ways of reaching existing markets
• Identify the needs and challenges of the prospective customer
• Identify key influencers and decision makers at target companies and convince them on the benefits of our solutions
• Schedule discovery meetings between prospects and sales manager
• Continuous follow-ups with prospects and clients
• Build relationships by nurturing warm prospects and finding new business opportunities
• Conduct needs assessments calls with specific prospects as assigned
• Qualify leads from marketing campaigns for sales opportunities
• Develop an overall account strategy that will lead to a well-executed, team based selling effort
• Build sales pipeline in accordance with targets
• Submit reports to Business Development Manager on weekly, monthly, and quarterly results
  

• 2+ years of experience in the IT industry
• Candidates should be willing to work evenings & nights to cold call the USA market, as and when required.
• Prior experience as a business development rep with IT Consultancies.
• Self-directing and agile, with the ability to pivot strategies quickly, as needed.
• Passionate, creative thinker with exceptional analytical skills. 
• Team player with superb collaboration and communication skills. 
• Outstanding communication and interpersonal skills.
• Keep current with business development strategies, best practices, and associated resources

The must-have requirements: Preferably the candidate should have their own mode of transport. Travel Expense reimbursement will be provided.  

• Preference: Local candidates/ candidates who know the city well in terms of areas and student hubs would be preferred. 
• Experience: 0-2 years 
• Job Type: Field Job 

• Own vehicle required 
• Excellent communication and negotiation skills 
• Salary: 2LPA – 3LPA 
• No. Of Openings: 5 

Job Description:  

• Conduct research in a specified area and collect information as per the guidance of City Head  
• Assisting the city heads in pitching to the vendors (brands) and bringing them onboard. This process includes registration, briefing and providing contracts as per discussed norms and policies of the company. 

• Working in tandem with the research team to understand potential vendors well. 
• Formation of an on-ground report on the basis of accumulated data and submitting it to the board so that further strategies could be implemented. 
• Building a network on the basis of your location so that the company can form proper channels and develop connectivity within the city. 
• Submitting critical data collected about vendors to the team and ensuring all privacy policies are followed. 
• Being creative in your sales pitch, contributing ideas and helping the team grow. 

• Build long-term trusting relationships with clients 
• Proactively seek new business opportunities in the market.