Scrum Master

We have opening for Presales for Navi Mumbai Vashi location

Job Title: Pre - Sales Engineer

Location: Navi Mumbai, Vashi

Department: BMS (Building Management System)

Reports To: Regional Sales Manager

Job Summary:

We are seeking a dynamic and technically proficient Pre Sales Engineer to join our team. In this role, individual will be responsible to provide technical expertise and support to our sales teams, ensuring that customers receive accurate, tailored solutions that meet their needs. Individual will collaborate with internal and external stakeholders to drive sales growth, manage quotations, and ensure smooth execution of customer orders. The ideal candidate will have a strong technical background, sales aptitude, and excellent interpersonal skills.

Qualifications & Skills Required:

• Strong technical skills and comfort in leading technical discussions.
• Sales aptitude with a keen interest in interacting with customers.
• Proactive approach with a strong customer focus and problem-solving skills.
• Ability to quickly learn and adapt to new products and technologies.
• Excellent interpersonal and teamwork abilities.
• Knowledge of the PLC/Controller BMS industry preferred, though experience in HVAC is also acceptable.
• Familiarity with commercial terms and conditions and their application in sales processes.
• Proficiency in MS Office tools including Word, Excel, PowerPoint, and Project.

Preferred Qualifications and Experience:

• Engineering Degree (Electrical, Electronics, Mechanical)
• Strong communication and presentation skills.
• Familiarity with basic PLC and DDC design and software applications.
• Experience: 3-5 years of relevant in BMS or HVAC/ELV industry

Responsibilities

• Responsible for managing and driving a team of Virtual Relationship Managers (VRM) handling a portfolio of eligible customers in order to achieve the targets set and that all guidelines and regulatory requirements are followed. Ensuring that customers get world-class services and their needs are understood and met through financial products that the Bank has to offer.
• Consistently meet portfolio objectives defined Viz. sales, income, group product holding etc.
• Ensure adherence to Operations process aimed at zero defect transaction processing & meeting the Audit & Compliance guidelines.
• Responsible for managing, training and motivating staff.
• All of the above parameters are consistently met by the team of VRMs.
• Income generation through the right blend of enhancement of CASA balance and cross-sell of appropriate products So that the VRM becomes the top of the mind recall amongst the customers in the catchment for all their financial needs and services, thereby ensuring that the VRMs also achieves the key performance parameters set 8. The team Manager leads a team of VRM (Virtual Relationship Manager) and is directly responsible for the performance of team members leading to the fulfilment of Business objectives.
• Monitoring and tracking the VRMs on revenue generation, product penetration, digital penetration, and liability growth and ensuring that the required product mix is maintained at the resource level to achieve the targeted number.
• The team Manager will be responsible for Sales Management through leads generated for a set of products from a fixed non-managed customer with the express objective of achieving business targets and efficiency targets related to outbound database calling management.

Requirements

• Bachelor's degree or equivalent experience.
• Minimum 4 years of team lead experience.
• Candidate should have a banking or voice process background.
• Willing to work from the office

Role Overview:

We are seeking a Senior Consultant with deep expertise in storage and backup infrastructure, data migration strategies, and enterprise IT consulting. This individual will lead customer engagements, build methodologies, and deliver value through the ZENfra platform.

Experience in product implementation and customer support management is a strong plus, enabling this role to bridge consulting with hands-on delivery and post-deployment success.

Key Responsibilities:

Consulting & Strategy:

Engage with enterprise customers to understand their infrastructure, pain points, and transformation goals.

Design and recommend migration strategies and modernization roadmaps for storage and backup environments.

Develop reusable methodologies and frameworks tailored to customer needs.

ZENfra Enablement:

Translate customer requirements into actionable insights using the ZENfra platform.

Build and deliver ZENpacks (customized solution bundles) including reports, dashboards, and automation scripts.

Collaborate with ZENfra product and engineering teams to enhance platform capabilities based on field feedback.

Product Implementation & Support:

Lead or support ZENfra platform deployments across customer environments.

Ensure smooth onboarding, configuration, and integration of ZENfra components.

Manage customer support escalations, ensuring timely resolution and customer satisfaction.

Provide feedback to product teams to improve usability and performance.

Leadership & Delivery:

Lead and mentor a team of consultants and engineers across multiple customer engagements.

Prioritize tasks and manage delivery timelines while maintaining high customer satisfaction.

Ensure quality and consistency in deliverables across projects.

Customer Success:

Act as a trusted advisor to customers, helping them derive maximum value from VTG and ZENfra offerings.

Conduct workshops, training sessions, and executive briefings as needed.

Required Skills & Experience:

• 10+ years of experience in IT consulting with a focus on storage, backup, and data protection technologies.
• Proven experience in data centre migrations, cloud transitions, and infrastructure assessments.
• Strong leadership experience managing cross-functional teams and customer engagements.
• Hands-on experience with product implementation and customer support management.
• Excellent communication and stakeholder management skills.
• Familiarity with tools like ZENfra, ZENfra Ignite, or similar platforms is a strong plus.
• Ability to create structured reports, methodologies, and reusable assets.
• Experience working with global customers and managing multiple priorities.

Preferred Qualifications:

Certifications in storage technologies (e.g., NetApp, Dell EMC, Veritas, Commvault).

Exposure to cloud platforms (AWS, Azure, GCP) and hybrid infrastructure.

Experience with automation and scripting (Python, PowerShell) is a plus.

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

• 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

• Proficiency in Python, Linux and shell scripting.
• Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
  ● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory,  Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

• Working knowledge of github or other version control tools.
• Experience with creating Restful web services and API platforms.
• Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

• Experience with cloud providers like Azure/AWS/GCP.
• Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
• Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
• Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

• Experience with testing libraries such as pytest for writing unit-tests for the developed code.
• Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

• Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
• Knowledge of Azure functions , Elastic search etc will be good to have.

• Having experience with model versioning (mlflow) and data versioning will be beneficial
• Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.