11+ Pega PRPC Jobs in Mumbai | Pega PRPC Job openings in Mumbai
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Greetings!
Hiring the below position for one of our premium client.
Role: PEGA Developer
Experience: 5-15 years
Location: PAN India
Certification: CSA & CSSA mandatory
- 4.5 - 9 of experience in Pega Development with Pega relevant certification.
- Working experience in Pega PRPC and Pega layer cake structure, class structure rule resolution ruleset structure, portals views and harness components.
- Basic data storage and database query knowledge through Pega.
- Good knowledge around integration and exposure to REST and SOAP APIs.
- Good to have knowledge and experience on at least one Pega Industry framework.
- Should be able to track and manage own tasks.
- Should have very good verbal and written communication
Strong Enterprise Data Modeller profile (Modern Data Platforms)
Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms
Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools
Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.
Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.
Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams
Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
Mandatory (Note) – Total experience should not be greater than 14 years
Solutions Architect - Data Engineering
Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.
If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.
You're not a sales lead. You're the transformation driver.
What are we looking for
real solver?
Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.
- Improver. Solver. Futurist.
- Great sense of humor.
- ‘Possible. It is.’ Mindset.
- Compassionate collaborator. Bold experimenter. Tireless iterator.
- Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
- Thinks in systems. Solves at scale.
This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.
Your Responsibilities
what you will wake up to solve.
You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.
As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.
- Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
- Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
- Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
- Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
- Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
- Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.
Functional Skills:
- Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
- Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
- Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
- Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
- Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
- Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
- Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.
Tech Superpowers:
- Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
- Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
- AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
- Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.
Experience & Relevance:
- Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
- Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
- Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
- Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
- Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
- AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.
Join the ‘real solvers’
ready to futurify?
If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.
Don’t Just Send a Resume. Send a Statement.
So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’
Position: Area Sales Executive/Manager (Designation will be based on the candidate’s last held position. If the candidate’s previous role was Senior or Manager level, they will be offered the Manager designation; otherwise, the Executive designation will be offered.)
Compensation Details:
• Fixed Monthly CTC up to ₹50K (Only PT and other mandatory deductions as per government norms) + Attractive Monthly Incentives & TA.
Open Locations & Coverage Areas:
• Mumbai: Candidate must be open to covering the entire Maharashtra region as needed. The selected candidates will report to the NSM.
• Lucknow: Candidate must be open to covering the entire UP region as needed. The selected candidates will report to the RSM.
Role Description:
We are looking for a dynamic and results-driven Area Sales Executive/Manager to join our team. The role involves promoting and selling medical devices in the assigned region. This is a full-time position with some flexibility for remote work. The selected candidate will be responsible for developing and executing sales strategies to drive revenue growth and expand market share.
Key Responsibilities:
• Drive sales growth for microscopes within the assigned region.
• Identify and explore new business opportunities in Pathology Labs, Diagnostic Centers, Hospitals, Medical Colleges, Universities, Agricultural Labs, FSL, and Industrial sectors.
• Approach and promote our products to both government and private sector institutions.
• Arrange and attend appointments with doctors, either through pre-scheduled meetings or regular outreach.
• Provide product demonstrations, training, and technical support to customers. • Achieve monthly, quarterly, and yearly sales targets for volume growth and productivity.
• Implement sales and marketing strategies as assigned by the Regional Sales Manager (RSM) or National Sales Manager (NSM).
• Ensure daily reporting and provide feedback on customer interactions. • Manage area sales, collect outstanding payments, address customer complaints, and conduct visits to hospitals and doctors.
• Analyze regional market potential, track sales performance, and maintain strong customer relationships.
• Engage with customers daily, weekly, or monthly as required.
• Learn product functionalities and effectively troubleshoot issues.
• Prepare and submit weekly reports to management.
• Complete task assigned by the reporting manager
Qualifications & Skills Required:
• Bachelor’s or Master’s degree in any relevant field.
• 1.5 to 3 years of experience in sales or business development, preferably in medical devices, microscopes, scientific instruments, or laboratory products.
• Strong sales acumen with high energy levels.
• Excellent business awareness and market orientation skills.
• Strong communication and interpersonal skills.
• Ability to work independently and collaboratively in a team environment.
• Strong organizational and problem-solving skills.
• Adaptability to a fast-paced work environment.
Occupational Health & Safety Management;
Handling posermnent official's visits and its timely compliance, ensure renewal of fire NOC, Petroleum NOC, on site emergency plan approval etc.
Develop a safe, pollution free work environment and robust EHS Culture at site
To enhance engagement of employees for building EHS culture
Improve the awareness and capabilities of people at suite on EHS
Implementation of EHS Global Standards, Like work permut system, LOTO Pemit, contractor safety management, chemical safety management. Personnel protective equipment, Incident reporting and investigation, Risk Assesment and process hazand analysis, change control management, Employee Engagement, Machine Safety procedure etc.
Evaluation of training need assessment and ensure the compliance as per calender
EIS round on monthly basis with engaging department SLT's, shift in charges and EHS profesionals
Creating awareness among employees and workers by celebrating EHS Programs - National Safety Week, Road Safety Weck, Fire Service week etc.
Encourage near miss reporting, employee's reward and recognitions.
Development of departmental EHS coordinators, encourage them to report unsafe observations, near miss reporting conducting department EHS meet, participation in EHS promotional activities.
Ensure electrical safety with coordination engineering department,
Conducting job safety analysis, Risk Assessment & Process hazard analyus. Ensure standard PPE's requirement, use of need base PPE's and its safe disposal
Encourage and ensure incident reporting & investigation, root cause analysis and compliance of corrective action and preventive action,
Ensure emergency preparedness and response compliance and ready to operate 24X7 fire Extinguishers, Fire Hydrant System, Fire alarm system, Public Announcement System, SCBA Safety shower, Spill control Kit, ambulance etc.
Ensure pressure vessel, Lifting tool tackles, hoist and lifts etc testing and compliance, form-9, form-33 etc.
Workplace health & hygiene monitoring
Ensure the compliance of EHS legal register and compliance register
Ensure the compliance of local EHS procedures, EHS Manual, EHS Policy, On site emergency plan.
DATA ENGINEER
Overview
They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.
Responsibilities:
Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.
Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.
Optimize and tune the performance of data systems to ensure efficient data processing and analysis.
Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.
Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.
Implement and maintain data governance and security measures to protect sensitive data.
Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.
Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.
Qualifications:
Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.
Strong programming skills in languages such as Python, Java, or Scala.
Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.
Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).
Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).
Solid understanding of data modeling, data warehousing, and ETL principles.
Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).
Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
Excellent communication and collaboration skills to work effectively in a team environment.
Preferred Qualifications:
Advanced knowledge of distributed computing and parallel processing.
Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).
Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
Certification in relevant technologies or data engineering disciplines.
Senior Manager - Research
About Us
upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale.
upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
- upGrad was awarded the Best Tech for Education by IAMAI for 2018-19
- upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India
- upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany.
- We were also covered by the Financial Times along with other disruptors in Ed-Tech
- upGrad is the official education partner for the Government of India - Startup India program
- Our program with IIIT B has been ranked #1 program in the country in the domain of
- Artificial Intelligence and Machine Learning
Role Summary
As a User Research Professional you will establish UX Research practice for your pods and collaborate closely with the product and tech leadership to shape our products. You will work with your peer(s) to set clear methods, standards and metrics for gathering qualitative and quantitative insights to continuously deepen the actionable knowledge of our product teams.
You will work with teams to develop research awareness, skills for engaging learners, community and experts, also knowledge for discerning what is important to take into product or innovation practices. You will maintain the highest level of research rigour across all types of studies and constraints. In addition to laying the foundation for user research for your pods, you will conduct and lead key research activities, applying quantitative or qualitative research methodologies to generate actionable insights for our products, brand and strategic direction. Your success will be the team’s commitment to research practices and knowledge of deep learning practices which are hidden in plain sight from across India's hinterland to metros.
Roles & Responsibilities
- Lead and coach team of UX researchers across any one of the Discovery and Growth, Learning experience, Careers, and Breakout pods
- Partner with User Researchers, Design Leads, Product Managers, and Engineering managers to drive all stages of research from early product direction through summative validation in an Agile work environment
- Lead prioritization about what we research, when to research it, and how that research is conducted; This might mean working with cross-functional teams, multiple devices, brands, and platforms, in order to find opportunities to further improve the user experience
- Influence a diverse set of stakeholders through excellent relationship building, and crisply providing insight and deep domain expertise in research practices and product development
- Put the needs of our varied set of users front and center and driving, through influence and well-constructed presentations of insights, the user experience strategy of our many products
- As a voice of the user, effectively challenge and elevate the customer experience in a data-driven environment
- Design, recruit and moderate research studies regularly (both in-person and remote)
- Use a variety of research methods and tools to best reach the goals of each project in order to provide rich, actionable insights
- Communicate research findings and prioritized recommendations to internal stakeholders in a clear and compelling way
Skills Required
- You have 6+ years of experience as a User Research Leader with experience building successful practices inside of companies
- You have to lead a team of at least 4 people
- You have deep knowledge of qualitative research methods and tools across the Indian diaspora, as well as knowledge of quantitative methods
- You know how to analyze and work with design, business, and product data tracking
- You have an excellent knowledge of UX standards, and bring a deep background in psychology, social sciences, or anthropology to the practice
- You have strong oral and written communication skills in both Hind, English, and ideally one other language relevant to our deep reach in India. Any other language is a bonus.
- Your excellent presentation skills will help you collaborate with team members from a wide range of teams and geographies across India.
- You have experience in working in an agile environment and the ability to adapt quickly to changing product priorities
- BA or MS in Psychology, Anthropology or Design with a strong focus on User Research is an added bonus
2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.
3. Hands-on experience with statistical, machine-learning tools and techniques
4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.
5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.
6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.
7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.
8. Expert level coding experience in Python.
9. Technologies: Backend - Python (Programming Language)
10. Should have the ability to think long term solutions, modularity, and reusability of the components.
11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.
12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.




