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We are hiring a Senior Data Engineer with strong expertise in Databricks, Azure Data Factory, and PySpark.
Must Have:
- Databricks, ADF, PySpark
- Mastery: AWS/Azure/SAP, ELT, Data Modeling
- Skills: Data Integration & Processing, GitHub/GitHub Actions, Azure DevOps, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest
Responsibilities:
- Build and optimize scalable data pipelines
- Architect & implement ELT/data models
- Manage data ingestion, integration, and processing workflows
- Enable CI/CD with DevOps tools
- Ensure code quality & reliability
What you’ll do:
➡️ Counsel students and parents on academic programs
➡️ Handle inbound inquiries and make outbound follow-ups
➡️ Understand learner needs and recommend suitable programs
➡️ Schedule demos, counselling sessions, and ensure timely responses
➡️ Build long-term relationships with prospective learners
What we’re looking for:
➡️ Experience in admissions counselling, EdTech, or higher education
➡️ Strong communication & consultative selling skills
➡️ Comfort with calls, follow-ups, and lead conversion
➡️ Student-first mindset with empathy and ownership
We are seeking a dynamic and results-driven IT Staffing Sales Specialist with a strong background in SaaS sales.The ideal candidate will have a proven track record of building client relationships, generating new business, and driving revenue growth in the IT/Cybersecurity/Analytics/Product engineering staffing and SaaS domains For India/APAC Region.
This role requires a combination of strategic thinking, excellent communication skills, and the ability to thrive in a fast-paced environment.
Key Responsibilities
Client Acquisition & Account Management: Identify, target, and secure new clients for IT/Cybersecurity/Analytics/Product engineering staffing services.
Build and maintain strong relationships with key stakeholders, including HR leaders, hiring managers, and decision-makers in SaaS companies.
Sales Strategy: Develop and execute a sales plan to achieve revenue targets. Leverage market insights to identify opportunities and position IT staffing solutions effectively within the SaaS industry.
SaaS Sales Expertise: Leverage your experience in SaaS sales to understand client needs and align staffing solutions with their technology objectives. Collaborate with clients to identify skill gaps and provide tailored staffing solutions, including contract, contract-to-hire, and direct placement services.
Networking & Business Development: Attend industry events, trade shows, and networking opportunities to build the company’s presence in the IT and SaaS sectors. Maintain a strong pipeline of prospects and consistently achieve or exceed sales quotas.
Collaboration & Reporting: Work closely with recruitment teams to ensure client requirements are met with high-quality candidates. Prepare and deliver sales reports, forecasts, and presentations to management.
Qualifications & Skills Bachelor’s degree in Business, Marketing, IT, or a related field (preferred).
Minimum of 3–5 years of experience in IT IT/Cybersecurity/Analytics/Product engineering staffing sales and SaaS sales. Proven ability to meet and exceed sales targets and quotas.
Strong understanding of IT roles, technologies, and industry trends, especially in SaaS. Exceptional negotiation, presentation, and interpersonal skills. Proficiency in CRM tools (e.g., Salesforce, HubSpot) and sales automation software.Ability to work independently and as part of a team in a fast-paced environment.
Preferred Qualifications Established network of clients in the SaaS or IT industry. Knowledge of workforce management, talent acquisition, and recruitment trends. Experience with MSP (Managed Service Provider) or VMS (Vendor Management System) environments is a plus.

Engineering Manager
Key deliverables
Software Architecture: Ensure implementation of a modular, scalable, secure and robust cloud software framework.
Project Management: Sprint Management for development projects to ensure tracking, planning and agile development and upgrades.
Certifications and Regulatory Approvals: Work with regulatory agencies and consultants to ensure implementation for an acquiring certification and regulatory approvals - FDA, ISO 13485, ISO 27001,
GDPR, HIPAA compliance
Other deliverables
Compliance and Tracking: Tracking key KPIs for cloud software to ensure performance and solve for
any deltas in the expected KPIs.
3rd Party Tech Integration: Work with third parties to ensure smooth integration of our offering in
their system. Establish Dozee as the backend for healthtech.
Associated tasks
Documentation: Industry Standard API documentation, software architecture, specifications and
technical documentation.
QA: Ensure zero down time and correctness of the data and features
Detailed Description
Software Architecture
Brainstorming for software architecture and implementation strategy
Working with developers to ensure swift and smooth development
Project Management:
Sprint Management for development projects
Tracking and planning for project deliverables and releases
Resource planning and utilization
Compliance and Tracking:
Setting up infrastructure to track key metrics for tech.
Ensure compliance with the target KPIs
Solve for any delta in KPIs
3rd Party Tech Integration:
Ensuring smooth and seamless integration for 3rd Parties
Collateral (videos/blogs) to demonstrate API integration in healthtech infra
Regular communication with 3rd parties
Certifications and Regulatory Approvals:
Ensure FDA documentation, clinical trials, submission and approval with the regulatory consultant and our team
ISO-13485 SOP, Documentation and Implementation across all systems in the organization ISO-27001 documentation, gap analysis, solving for deltas and certification
GDPR and HIPAA compliance
Other necessary accreditations and approvals
QA:
Enhance existing QA coverage
Setup automated systems to monitor the health of the production environment
Setup proper reporting for any deltas identified by QA
Required Skills
A proactive nature, high EQ and good interpersonal skills are essentials for this role.
Building, maintaining and managing relationships, negotiation skills, conflict resolution, persuasion skills,
judgement making and critical thinking capabilities will be tested each and every day on this career path.
Additionally a knowledge of the below mentioned skills shall be of great help -
Experience:
Experience in software development and management, especially API development, microservices,
serverless systems and cloud development. (2-4 years)
Excellent verbal and written communication, presentation and leadership skills. Experience with
hiring and managing a team of at least 10 developers.
Attitude and Aptitude:
Demonstrates intelligence, positive attitude and loads of patience
Logical and analytical in approach with problem-solving aptitude
Work with high levels of intellectual rigour
Resilient in withstanding pressure and delivering efficiently
Strong analysis capability and exceptional ability to communicate data and results to a wide range of individuals including senior leadership
Ability to handle multiple tasks and meet multiple deadlines.
Academic:
Bachelors in Engineering (preferred Computer Science and Engineering)
As an Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve
predefined outcomes.
• Engage with clients to understand current and future business goals and translate business
problems into analytical frameworks
• Develop custom models based on an in-depth understanding of underlying data, data structures,
and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies
Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
- To Design and Develop Customer Focused Friendly Native Mobile App with good data security, good optimization, good ui ux, good performance
- Owns team's output and E2E definition and execution of SDLC. Drives sprint planning, estimates & prioritizes tasks, Keeps key stakeholders updated on progress, milestones, and any potential slippages.
- Identifies pitfalls across codebases proactively. Writes model code that is looked up to. Understands internals of programming languages & runtimes. Creates common reusable components/libraries- Uses advanced data structures.
- Designs API contracts between large systems with end-to-end service design and active leadership towards long-term sustainability including versioning, complex migration plans, impact analysis across products.
- Owns NFRs and pushes the envelope on performance, scalability, and high availability with cognizance towards the cost of infra. Drives tech stack selection independently, mentors junior engineers. Evangelises of generic platform building across the organization.
- Troubleshoots unseen issues across codebases. Solves large end-to-end cross-cutting problems with elegant solutions with an eye on long-term sustainability.
- Partners with and influences product managers on “how”. Leads the pack on hiring and evangelizes steeper hiring standards towards building an A+ team. Represents company on external platforms/conferences.
Qualifications:
- Bachelor's Degree in Computer Science or similar discipline
- 7+ years relevant work experience in software engineering while leading teams.
- Proficiency in more than one modern programming language such as Python (preferred) associated tech stack to write maintainable, scalable, unit-tested code
- Experience in building complex software systems that have been successfully delivered
- Should be strong with System Design and Database designing
- Deep understanding of design patterns, optimizations, deployments with Strong object-oriented design skills
- Experience mentoring other software engineers.
- Experience with full life cycle development in any programming language
- 10+ years developing and designing software products, and demonstrated experience with full software development lifecycle, ideally in a regulated industry
- Strong computer science fundamentals in OOAD, design patterns, data structures, and algorithms
- Fluency in a high-level object oriented programming language (e.g. Java, C#, Golang, C++)
- Strong understanding of professional software engineering best practices for the full SLDC including coding standards, code reviews, source control, build processes, testing, and operations.
- Experience designing and developing scalable, highly available distributed systems / services
- Expertise with services and microservices solution design and delivery covering API design, containerization, and application integration / messaging.
- Expertise with design and delivery of cloud native solutions on any of the major cloud platforms (AWS, Azure, GCP).
- Expertise with algorithm development in one or more of the following areas: numerical & statistical analysis, signal processing, image processing, regression, and machine learning.
- Practical experience with SCRUM, SaFe or other applicable agile framework in regulated environments.
- Experience in design, engineering, and testing of software contained in medical devices developed under the FDAs regulations for 510(k) or PMA products is preferred.
- Superior communications skills (oral & written)
- Outstanding interpersonal skills, and effective collaboration
Primary Job Function:
- Works in a lead role in one or more aspects of the overall software development process (such as software design, code development) under a disciplined product development process that meets FDA requirements.
- Works independently on identifying new technologies and creating systems designs for implementation into new product development and process improvements.
- Exercises independent judgment in identifying, recommending and implementing significant and/or complex new tools/process improvements to meet company objectives in areas of new product development, product testing, process improvement and compliance with regulatory requirements.
- Readily adjusts priorities and works within team environment for timely completion of common objectives for multiple projects.
- Resolve significant and/or complex technical issues to meet company objectives.
Main Responsibilities:
- Technical leadership in cloud services / systems software development (such as software design, code development, design review, code review, and testing) including project scheduling activities.
- Reliably deliver high quality software within schedule constraints.
- Provides technical ownership of software products.
- Actively participates in product development teams for the development of new products and services.
- Interacts with QA engineers to ensure that software products are robust and of very high quality.
- Research technical issues and propose technical approaches that achieve product and quality requirements.
- Participate in the full life cycle of development, from specification and design through implementation, testing, and support.
- Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
- Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.
Minimum Education:
- Bachelors in Computer Science, Software Engineering, or related engineering or scientific field.
Minimum Experience:
- 10 years relevant experience and a Bachelors degree or 5 yrs with MS degree. Will receive additional 2 years experience credit for PhD.
- Good knowledge of software engineering principles.
- Excellent written and verbal communication skills are essential..
- Excellent troubleshooting skills are a must. Strong debugging techniques and experience on using debugger is required and/or use of testing tools to ensure high level of quality of software product.
- Strong working knowledge of the principles of quality software engineering as described by software lifecycle development processes that are consistent with ISO, IEEE, or other FDA recognized standards.
- Experience w/ distributed computing / services (preferably cloud native) software design and development is highly preferable.







