11+ SolidWorks Jobs in Pune | SolidWorks Job openings in Pune
Apply to 11+ SolidWorks Jobs in Pune on CutShort.io. Explore the latest SolidWorks Job opportunities across top companies like Google, Amazon & Adobe.
Job Description:
· Mechanical Engineer with 7+ years of relevant experience
· Strong Knowledge of injection Molding simulation (Cool+Fill+Pack+Warp) using Autodesk Moldflow.
· Strong Knowledge on selection of gate location, 2k and insert Molding Analysis.
· Working knowledge on Plastic Injection Mold design.
· Strong knowledge in plastic material selection and able to suggest alternate material.
· Experience in Good knowledge of injection Molding process.
· Experience in solving injection Molding issues (weld lines, sink marks, warpage, etc).
· Able to find optimized process parameters for Injection Molding process Engineer.
· Strong analytical skills and results interpretation skills.
· Working understanding of CAD software like SolidWorks, CATIA etc.
· Working experience in Product design
· Good exposure to manufacturing process
· Good Knowledge of DFMEA, DFM and DFA
Description :
Key Responsibilities :
Primary Database Expertise :
1. One resource should have PostgreSQL as their primary database expertise.
2. One resource should have MySQL as their primary database expertise.
3. One resource should have either PostgreSQL or MySQL as their primary database expertise.
Secondary Database Skills :
- Proficiency in other databases such as MongoDB, MSSQL, ElasticSearch, Oracle, and Redis is a plus.
- Hands-on experience with databases in cloud environments, including GCP, AWS, or Azure, is a must.
- Familiarity with database migrations on GCP, AWS, or Azure cloud platforms is advantageous.
Qualifications and Skills :
- Minimum of 4 years of hands-on experience with MySQL, PostgreSQL, and MSSQL databases.
- Strong logical thinking skills to analyze and solve complex database-related issues.
- Excellent communication and articulation abilities, with the capacity to interact effectively with both technical and non-technical stakeholders.
- Proficiency in handling customer calls and addressing their database-related queries and concerns.
- Experience in one of the following primary databases : PostgreSQL, MySQL.
- Knowledge of secondary databases like MongoDB, MSSQL, ElasticSearch, Oracle, and Redis is a plus.
- Prior experience with database administration in GCP, AWS, or Azure cloud environments.
- Familiarity with database migration processes on cloud platforms is a beneficial skill.
This role offers an opportunity to work with diverse database technologies and cloud platforms, making it an ideal position for a skilled Senior DBA who enjoys a dynamic and challenging environment. If you have a strong database background and are looking to take your career to the next level, we encourage you to apply.
- Experience:
- 7+ years of experience in ETL development using IBM DataStage.
- Hands-on experience with designing, developing, and maintaining ETL jobs for data warehousing or business intelligence solutions.
- Experience with data integration across relational databases (e.g., IBM DB2, Oracle, MS SQL Server), flat files, and other data sources.
- Technical Skills:
- Strong proficiency in IBM DataStage (Designer, Director, Administrator, and Manager components).
- Expertise in SQL and database programming (e.g., PL/SQL, T-SQL).
- Familiarity with data warehousing concepts, data modeling, and ETL/ELT processes.
- Experience with scripting languages (e.g., UNIX shell scripting) for automation.
- Knowledge of CI/CD tools (e.g., Git, BitBucket, Artifactory) and Agile methodologies.
- Familiarity with IBM Watsonx.data integration or other ETL tools (e.g., Informatica, Talend) is a plus.
- Experience with big data technologies (e.g., Hadoop) is an advantage.
- Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills to collaborate with stakeholders and cross-functional teams.
- Ability to work independently and manage multiple priorities in a fast-paced environment.

Global Digital Transformation Solutions Provider
SENIOR DATA ENGINEER:
ROLE SUMMARY:
Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.
RESPONSIBILITIES:
- Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
- Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
- Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
- Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
- DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
- Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
- Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
- Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
- Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
- Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.
REQUIRED QUALIFICATIONS:
- Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
- Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
- Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
- ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
- Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
- DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
- Serverless and events: Design event-driven distributed systems on AWS.
- NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
- AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.
NICE-TO-HAVE QUALIFICATIONS:
- Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
- Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
- Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
- Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.
OUTCOMES AND MEASURES:
- Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
- Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
- Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
- Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
- Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.
LOCATION AND SCHEDULE:
● Location: Outside US (OUS).
● Schedule: Minimum 6 hours of overlap with US time zones.
Profiles
Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior
Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research
Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements
Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation
Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology
Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness
Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams
Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role
Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)
Candidates from institutes with strong behavioral research exposure are preferred
Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms
Mandatory (Note 1):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights
Mandatory (Note)—Profiles without proper prospect question detail will not be considered for further evaluation. Recruiters must connect directly with the candidate before submission.
What You’ll Do:
As a Sr. Data Scientist, you will work closely across DeepIntent Data Science teams located in New York, India, and Bosnia. The role will focus on building predictive models, implementing data-driven solutions to maximize ad effectiveness. You will also lead efforts in generating analyses and insights related to the measurement of campaign outcomes, Rx, patient journey, and supporting the evolution of the DeepIntent product suite. Activities in this position include developing and deploying models in production, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.
- Explore ways to create better predictive models.
- Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights.
- Explore ways of using inference, statistical, and machine learning techniques to improve the performance of existing algorithms and decision heuristics.
- Design and deploy new iterations of production-level code.
- Contribute posts to our upcoming technical blog.
Who You Are:
- Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, or Data Science.
- 5+ years of working experience as a Data Scientist or Researcher in digital marketing, consumer advertisement, telecom, or other areas requiring customer-level predictive analytics.
- Advanced proficiency in performing statistical analysis in Python, including relevant libraries, is required.
- Experience working with data processing, transformation and building model pipelines using tools such as Spark, Airflow, and Docker.
- You have an understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications).
- You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference…).
- You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing.
- You can write production level code, work with Git repositories.
- Active Kaggle participant.
- Working experience with SQL.
- Familiar with medical and healthcare data (medical claims, Rx, preferred).
- Conversant with cloud technologies such as AWS or Google Cloud.
- 5+ years of experience
- FlaskAPI, RestAPI development experience
- Proficiency in Python programming.
- Basic knowledge of front-end development.
- Basic knowledge of Data manipulation and analysis libraries
- Code versioning and collaboration. (Git)
- Knowledge for Libraries for extracting data from websites.
- Knowledge of SQL and NoSQL databases
- Familiarity with RESTful APIs
- Familiarity with Cloud (Azure /AWS) technologies
About us:
TAPPP is leading the charge in bringing premium digital entertainment content & live sports to global consumers via its prepaid platform.
We are available across platforms via the Web, Mobile, and Tablets. Building out this brand presents significant product and engineering challenges. At the center of solving those challenges is the TAPPP Product Engineering team which is responsible for the TAPPP product end to end.
The organization is flat, processes are minimal, individual responsibility is big, and there is an emphasis on keeping non-productive influences out of the everyday technical decision-making process. Upholding these philosophies will be imperative as we execute our aggressive plan of global expansion over the next 2 years.
Who are we looking for:
We are looking for a QA engineer experienced in writing test cases based on user stories, creating reports, testing the application from a design & usability perspective, and supporting both manual and automated testing throughout the lifecycle of the product. As a QA Engineer, you will ensure that quality issues and defects are appropriately identified, documented, tracked, and resolved in our defect tracking system.
Mandatory technical skills:
- Proven working experience (Min 3 years) in software quality assurance
- Strong knowledge of software QA methodologies, tools, and processes
- Experience in writing clear, concise, and comprehensive test plans and test cases
- Hands-on experience with both white box & black box testing and automated testing tools
- Technology hands-on Selenium, Javascript, and SQL Scripting is a must
- Experience with Restful API testing – Postman jetpack, RestAssured
- Experience with performance/load/stress testing
- Experience in all stages of application testing including UI, backend, functional, regression
- Experience working in an Agile/Scrum development process
Other
Strong independent contributor and an unquenchable desire to learn, attention to detail a can-do attitude
Comfortable working in a start-up environment
The position is based in Pune, India.
• Maintain, update, and enhance ITSM environment including Incident, Request,
Problem, Change and Knowledge Management, Service Catalog, Service Portals,
SLAs, Discovery, and Integrations
• Participate in the implementation and configuration of other ServiceNow products
outside of ITSM to increase the adoption of the ServiceNow platform.
• Responsible for performing daily administration, issue resolution, and
troubleshooting of the ServiceNow platform.
Monitor health, usage, and overall compliance of ServiceNow and its applications.
To be the right fit, you will need:
• Minimum of 2 years of demonstrated experience in ServiceNow development and
configuration.
• Proficient in developing, integrating and maintaining applications using ServiceNow
Platform technology and tools.
• Understanding of and experience working with IT Service Management processes
(Incident, Problem, Change, Release, SLM, Service Catalog), PPM/ITBM
• Understanding of IT and business requirements with ability to develop, test, deploy
improvements, and update Manage and administer lists, filters, forms, platform
interfaces (to other data sources) and the data within tables, import sets and the
CMDB.
• Preferably certified in ServiceNow
Responsibilities :
- Developer responsibilities include, but are not limited to the following:
- Experience as a Sun Certified Java Developer with proven hands-on Software Development experience. We use Java 8
- 4-10 years java development experience with JSE/JEE, Java-based Micro-services framework, and implementation, Spring framework, Hibernate framework, SQL, etc
- Hands-on experience on Spring boot & SPARK Microservices and OSGi specifications
- Strong knowledge of micro-service logging, monitoring, debugging, and testing
- Implementations experience of micro-service integration, packaging, building automation, and deployment
- At least two years experience in SOA & Microservices based process applications using BPM (Activiti/JBPM/Camunda)
- Object-Oriented Analysis and design using common design patterns.
- Insight of Java and JEE internals (Classloading, Memory Management, Transaction management, etc)
- Excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA2, Hibernate)
- Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC, Spring Boot)
Qualifications: BS/MS degree in Computer Science, Engineering or a related subject and a minimum of 8 years of professional work experience in a mid-d or large corporate Information Technology environment. Highly organized and detail-oriented, with the ability to keep multiple projects and client engagements active at once. Comfort with ambiguity and ability to navigate uncertainty.
Job Background
We are looking for a Web Developer to join an award-winning, talented team, building the
next-generation automated drone applications for our global customers
As a front-end developer, you will implement a complete user interface in the form of a
web app. A thorough understanding of all of the components of the company’s platform and
infrastructure is required. You will need to take ownership of your projects, which involves
detailing requirements after discussion with the Product Owner, building user interfaces,
developing and maintaining web apps with a focus on user experience
Responsibilities
● Work as part of a team developing applications and services using Agile
development methods
● Contribute to team and organizational improvements in process and infrastructure
● Effectively use tools and ingenuity to identify and fix defects before they become a
problem
● Creating self-contained, reusable, and testable modules and components
● Learn about the domain and competitors to propose new drone apps as well as
improvement for existing apps
● Collaborate on projects with a closely-knit team
Skills/Experience
● 3+ yr experience as an Angular 2+ or React or Ionic Developer.
● Strong expertise with NodeJS, HTML5, CSS, JSON, jQuery, Bootstrap and writing
cross-browser compatible code.
● Knowledge of NodeJS frameworks such as ExpressJS etc.
● Knowledge of Creating RESTful services with Node.js and Experience with Socket.io
● Good understanding of HTML Dom manipulation Technique ●Experience in tested & documented TypeScript/JavaScript, HTML, and CSS
● User authentication and authorization between multiple systems, servers, and
environments
● Understanding of fundamental design principles behind a scalable application
● Proficiency working with source control (git) / versioning systems, continuous
integration in an agile development setup
Good to Have
● Understanding of how to deploy Mean stack applications in AWS/Azure deployment
environment, considering security, reliability etc.
● Knowledge of other python-based server-side frameworks such as Flask or Django





