Sales Executive

Are you ready to join an innovative EdTech revolution that's changing the world of

education?

Look no further than Questt! Our data-driven approach is helping students of all ages

and backgrounds unlock their full potential and achieve their dreams.

As our SBDA, your responsibilities will be :

● Planning and executing cold outreach in the form of messages and calls to

attract new leads.

● Reaching out to prospects through calls or messages to assess their needs.

● Nurturing the leads, following up with them, and understanding their issues inside

out.

● Achieve agreed-upon sales targets and outcomes within schedule.

● Coordinate sales efforts with team members and other departments.

● Analyze the market’s potential, and track sales, and status reports.

● Supply management with reports on customer needs, problems, interests,

competitive activities, and potential for new products and services.

● Keep abreast of best practices and promotional trends.

● Continuously improve through feedback.

We’d additionally be looking at

● Quick Turnaround Time

● Good communication skills, ability to work with different departments

● Self-motivation, ability to work under pressure and meet deadlines

● Receptive to constructive criticism, and delivering changes as directed

● Technical know-how

To be successful in this role, you should have:

● Good knowledge of MS Office

● Highly motivated and target-driven.

● Excellent negotiation, and communication skills.

● Prioritizing, time management, and organizational skills.

● Ability to create and deliver presentations tailored to the customers' needs.

● A healthy attitude towards constructive criticism.

Nature of Work:

● Work from our Office

● You will be working 6-days a week

● You get 0-1 Building Experience

● Freedom to experiment and innovate

● High Ownership of tasks

Job Title: Machine Operator

Location : Kalyan Nashik highway

Qualification: 12th Pass / ITI / Diploma

Experience: 0–1 Year / Fresher

Salary: ₹15,000 – ₹20,000 per month

Job Description

• Set up and operate production machines as per standard operating procedures.
• Monitor machine performance to ensure smooth operations and quality output.
• Make basic machine adjustments when required and report technical issues to the supervisor.
• Perform routine inspection, cleaning, and minor maintenance of machines.
• Inspect finished products to ensure quality standards are met.
• Maintain production records and update daily logs accurately.
• 
  

Skills Required

• Basic knowledge of machine operations and production processes
• Understanding of safety procedures in manufacturing
• Attention to detail and quality checking ability
• Basic mechanical aptitude
• Ability to follow instructions and work in shifts
• Teamwork and discipline

The Role:

Candidates Should be able to Create user information solutions by developing, implementing, and maintaining Java based components and interfaces.

Responsibility:

● Defines site objectives by analyzing user requirements; envisioning system features and functionality.

● Integrates applications by designing database architecture and server scripting; studying and establishing connectivity with network systems, search engines, and information servers.

● Enhances organization reputation by accepting ownership for accomplishing new and different requests; exploring opportunities to add value to job accomplishments.

Requirement:

● 5+ Years of Software development experience in Java Programming.

● Having knowledge on Scala will be added advantage.

● Excellent core Java programming skills including multi-threading

● Design, Develop, build enterprise applications using Java and associated technologies

● Expert level knowledge in Spring Boot (includes spring core, spring web MVC/Webflux)

● Restful web service architecture and API management

● Solid foundation in data structures, algorithms, and software design NoSQL systems such as MongoDB, Redis

● Experience in Mysql will be an added advantage.

● Deep understanding of the project lifecycle process, able to define a comprehensive solution leading towards a common vision.

Role Proficiency:

This role requires proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. This position demands independence and proficiency across various data domains. Expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including the ability to calculate processing costs and address performance issues. A solid understanding of DevOps and infrastructure needs is also required.

Skill Examples:

1. Proficiency in SQL Python or other programming languages used for data manipulation.
2. Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF.
3. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery).
4. Conduct tests on data pipelines and evaluate results against data quality and performance specifications.
5. Experience in performance tuning.
6. Experience in data warehouse design and cost improvements.
7. Apply and optimize data models for efficient storage retrieval and processing of large datasets.
8. Communicate and explain design/development aspects to customers.
9. Estimate time and resource requirements for developing/debugging features/components.
10. Participate in RFP responses and solutioning.
11. Mentor team members and guide them in relevant upskilling and certification.

Knowledge Examples:

1. Knowledge of various ETL services used by cloud providers including Apache PySpark AWS Glue GCP DataProc/Dataflow Azure ADF and ADLF.
2. Proficient in SQL for analytics and windowing functions.
3. Understanding of data schemas and models.
4. Familiarity with domain-related data.
5. Knowledge of data warehouse optimization techniques.
6. Understanding of data security concepts.
7. Awareness of patterns frameworks and automation practices.

Additional Comments:

# of Resources: 22 Role(s): Technical Role Location(s): India Planned Start Date: 1/1/2026 Planned End Date: 6/30/2026

Project Overview:

Role Scope / Deliverables: We are seeking highly skilled Data Engineer with strong experience in Databricks, PySpark, Python, SQL, and AWS to join our data engineering team on or before 1st week of Dec, 2025.

The candidate will be responsible for designing, developing, and optimizing large-scale data pipelines and analytics solutions that drive business insights and operational efficiency.

Design, build, and maintain scalable data pipelines using Databricks and PySpark.

Develop and optimize complex SQL queries for data extraction, transformation, and analysis.

Implement data integration solutions across multiple AWS services (S3, Glue, Lambda, Redshift, EMR, etc.).

Collaborate with analytics, data science, and business teams to deliver clean, reliable, and timely datasets.

Ensure data quality, performance, and reliability across data workflows.

Participate in code reviews, data architecture discussions, and performance optimization initiatives.

Support migration and modernization efforts for legacy data systems to modern cloud-based solutions.

Key Skills:

Hands-on experience with Databricks, PySpark & Python for building ETL/ELT pipelines.

Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).

Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).

Experience with data modeling, schema design, and performance optimization.

Familiarity with CI/CD pipelines, version control (Git), and workflow orchestration (Airflow preferred).

Excellent problem-solving, communication, and collaboration skills.

Skills: Databricks, Pyspark & Python, Sql, Aws Services

Must-Haves

Python/PySpark (5+ years), SQL (5+ years), Databricks (3+ years), AWS Services (3+ years), ETL tools (Informatica, Glue, DataProc) (3+ years)

Hands-on experience with Databricks, PySpark & Python for ETL/ELT pipelines.

Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).

Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).

Experience with data modeling, schema design, and performance optimization.

Familiarity with CI/CD pipelines, Git, and workflow orchestration (Airflow preferred).

******

Notice period - Immediate to 15 days

Location: Bangalore

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product companies

Mandatory(Exclusion) : Profiles with Only EdTech background will not be considered.Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions

Strong Customer Success Manager / Implementation Manager / Post-Sales Delivery (B2B SaaS – US Customers) Profiles

Mandatory (Experience 1): Must have 3+ years of experience in Customer Success roles within B2B SaaS companies, primarily working with US-based customers.

Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and implementations, including requirement discovery, onboarding execution, go-live ownership, and early adoption success

Mandatory (Experience 3): Must have strong project management and customer communication skills, owning onboarding timelines, running regular customer check-ins, managing CXO-level stakeholders, and proactively flagging risks or blockers.

Mandatory (Experience 4): Must have worked in post-sales, non-quota-carrying roles focused on customer success, retention, and long-term relationship management (upsell is not mandatory)

Mandatory (Experience 5): Must have a conceptual understanding of SaaS products and APIs, with the ability to understand workflows, follow integration issues, and coordinate effectively with technical teams (hands-on coding not required).

Mandatory (Note): Must be willing to work in US time zones (approx. 4:30 AM IST onwards, Mon–Fri).

Mandatory (Company): B2B SaaS (Technical complex)

Job description

Job Title: System Integrator / Technical Support Engineer (Integration)

Experience: 5 Years

Employment Type: Full-Time

About the Role

We are seeking an experienced and technically proficient Client Support / Technical Support Engineer (Integration) to join our dynamic team. The ideal candidate will possess strong analytical skills and a solid background in API integrations, Integration Kits, and technologies such as Java, PHP, or Android.

In this role, you will serve as the primary point of contact for clients, ensuring smooth implementation, efficient issue resolution, and exceptional customer satisfaction throughout the integration process.

Key Responsibilities

Provide technical support and integration assistance to clients via email, calls, or ticketing systems.

Assist clients in setting up, configuring, and troubleshooting API / SDK / Integration Kits.

Collaborate with internal development and product teams to resolve complex technical challenges.

Analyze logs, debug issues, and replicate customer scenarios to identify root causes.

Maintain detailed documentation of integration processes, FAQs, and troubleshooting guides.

Ensure timely and professional resolution of client queries to maintain high satisfaction levels.

Work cross-functionally to support client onboarding, testing, and deployment activities.

Required Skills & Qualifications

Bachelors degree in Computer Science, Information Technology, or a related field.

Minimum 5 years of experience in Client Support, Technical Support, or Integration Support roles.

Hands-on experience with at least one of the following: Java, PHP, or Android.

Strong understanding of API integrations, SDKs, and web technologies (REST / JSON).

Familiarity with Integration Kits or middleware solutions.

Excellent communication, analytical, and problem-solving skills.

Ability to work independently and manage multiple client projects simultaneously.

Preferred Skills

Experience in the Payment Gateway..

Knowledge of SQL for data validation and troubleshooting.

Proficiency with Postman, API testing, and log analysis tools.

Dear Candidate,

We are urgently looking for a Release- Big data Engineer For Pune Location.

Experience : 5-8 yrs

Location : Pune

Skills: Big data Engineer , Release Engineer ,DevOps, Aws/Azure/GCP Cloud exp. ,

JD:

• Oversee the end-to-end release lifecycle, from planning to post-production monitoring. Coordinate with cross-functional teams (DBA, BizOps, DevOps, DNS).
• Partner with development teams to resolve technical challenges in deployment and automation test runs
• Work with shared services DBA teams for schema-based multi-tenancy designs and smooth migrations.
• Drive automation for batch deployments and DR exercises. YAML based micro service deployment using shell/Python/Go
• Provide oversight for Big Data toolsets for deployment (e.g., Spark, Hive, HBase) in private cloud and public cloud CDP environments
• Ensure high-quality releases with a focus on stability and long-term performance.
• Able to run the automation batch scripts and debug the deployment and functional aspects/ work with dev leads to resolve the release cycle issues.

Regards,

Minakshi Soni

Executive- Talent Acquisition

Rigel Networks