
Sales Development Representative - SaaS products
Sales Development Representative (SDR) – SaaS
We are looking for a driven and results-oriented Sales Development Representative (SDR) to join our growing sales team and help generate new business opportunities for our SaaS products.
If you have experience in B2B and international sales, outbound prospecting, and SaaS solutions, this is a great opportunity to grow in global SaaS sales.
Location: Pune
Experience: 3–8 Years
Key Responsibilities
• Generate leads through cold calling, email outreach, LinkedIn, and social selling
• Conduct outbound prospecting and qualify inbound leads
• Identify potential clients for SaaS-based products
• Schedule discovery calls, demos, and meetings for the sales team
• Maintain accurate data and track activities in CRM systems
• Use tools like Sales Navigator, Apollo, ZoomInfo, Seamless for prospecting
• Research target accounts and identify new market opportunities
• Achieve monthly KPIs (meetings booked, qualified leads)
• Collaborate with sales, marketing, and presales teams to build pipeline
• Understand the B2B SaaS sales cycle and support deal closures
What We’re Looking For
✔ 3–6 years of experience in SDR / BDR / Inside Sales roles (SaaS preferred)
✔ Strong communication and prospecting skills
✔ Experience in B2B SaaS sales
✔ Hands-on experience with CRM tools and sales prospecting platforms
✔ Good understanding of SaaS products, subscription models, and value selling
✔ Target-driven and proactive mindset
✔ Bachelor’s degree in Business, Marketing, IT, Engineering, or related field
✔ Mandatory: Experience working with international markets such as US, UK, Europe, North America,etc
Why Join Us
• Work in a fast-growing SaaS environment
• Exposure to global clients and international sales cycles
• Strong learning and career growth opportunities

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Data Quality Engineer
Overview
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Our core data quality stack includes:
Data Quality Frameworks
- Delta Live Tables expectations for declarative quality enforcement
- Great Expectations for comprehensive data validation
- Databricks data profiling and quality monitoring
Platform & Tools
- Databricks SQL and PySpark for quality checks at scale
- Unity Catalog for lineage tracking and governance compliance
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Observability
- Quality metrics dashboards and alerting
- Data profiling and statistical analysis
- Anomaly detection and drift monitoring
Key Responsibilities
- Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations
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- Implement anomaly detection mechanisms to identify data drift and quality degradation
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- Collaborate with data engineers to embed quality checks into ETL/ELT pipelines
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Preferred Qualifications
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Highly Desirable
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- Experience with data observability platforms
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Department: Engineering
Employment Type: Full-Time
ROLES AND RESPONSIBILITIES:
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·
PREFERRED QUALIFICATION AND SKILLS:
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About the role :-
Accountable for quantifying and measuring the success of our executions and for delivering insights that enable us to innovate the work we deliver. You will be Supporting analyses for campaigns and helping the development of new analytical tools.
Some of the things we’d like you to do :-
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● Develop analytical techniques to analyze results from
experiments/studies/observations
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A bit about yourself :-
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● Strong analytical skills - ability to analyze raw data, find insights, and provide actionable strategic recommendations
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Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field.
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At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
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In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
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Qualifications and skills:
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Company Website: http://www.edubridgeindia.com/">http://www.edubridgeindia.com/
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Department: Training
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Qualification:
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If interested share across your updated CV along with accurate response to ALL the questions in the Questionnaire are mandatory for further shortlisting;
Total Years of experience:
Experience in IT:
Experience in technical training/ mentoring:
Experience in Java, Advanced Java, Core Java, Selenium IDE and testing tools like ALM/JIRA etc ; (Mention below your specification from the above)
Knowledge in Software testing/ Engineering:
Do you have experience in Pseudo Code test?:
Experience in SQL Server, MySQL or any other database: Please specify:
Experience in Operating systems GNU/Linux, Network fundamentals:
Knowledge in Cloud technology and testing methodologies:
Current Salary:
Expected Salary:
Notice period:
Date of Birth:
Education:
Any IT Government Certified Courses:
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