Data Lifecycle Jobs in Pune

Full Stack Developer (SDE3) Location: Pune Job Type: Full-Time Industry: E-Commerce About the Role Eshopbox is looking to hire a talented Full Stack Developer to build scalable and high-performing software solutions. You ll be an integral part of a dynamic cross-functional team responsible for the entire software development lifecycle, from ideation to deployment. You will be proficient in both front-end and back-end technologies, development frameworks, and third-party libraries. Key Responsibilities Collaborate with development teams and product managers to brainstorm and develop software solutions. Design both client-side and server-side architecture for seamless functionality. Build the front-end of applications with an emphasis on attractive and intuitive design. Develop and maintain well-functioning databases and applications. Write effective and optimized APIs for seamless communication. Ensure software is responsive and performs efficiently across devices. Troubleshoot, debug, and improve existing software systems. Implement strong security features and ensure data protection across platforms. Develop features and applications with a mobile-first, responsive design. Document technical processes and workflows for team reference. Our Tech Stack Backend: Spring (Java), Spring Boot, Laravel (PHP), MySQL, NoSQL, NGINX Plus Frontend: Angular 5+, Ngrx/store Infrastructure: Google Cloud Platform (App Engine, CloudSQL, BigQuery, PubSub, Firebase Hosting), Pusher.io (WebSockets), Filestack, Postmark Tools: Postman, JIRA Other Technologies: REST APIs, Microservices, Agile methodologies, OAuth, Message Queue, Git What You ll Need 6+ years of proven experience as a Full Stack Developer or in a similar role. Hands-on experience working with service-oriented architectures and web-based solutions. Proficiency with front-end languages and libraries such as HTML/CSS, JavaScript, XML, and jQuery. Strong knowledge of backend languages (Java, C#, Python) and JavaScript frameworks (Angular, React, or Node.js). Experience with databases (MySQL, MongoDB), web servers (Apache), and UI/UX design principles. Familiarity with Agile methodologies including Scrum and Kanban. Experience with cloud technologies like AWS or Google Cloud Platform. Excellent communication skills and the ability to work collaboratively in a team. Strong attention to detail and a problem-solving mindset. A degree in B.Tech/BE or equivalent. Qualification : A degree in B.Tech/BE or equivalent

Product Manager L-1 Location: Pune | Job Type: Full-Time | Department: Product Development Eshopbox is looking for a passionate and dedicated Product Manager L-1 to help drive the development and success of our products. In this role, you'll be responsible for the entire product lifecycle, from concept through execution. You ll collaborate closely with engineering, design, sales, and marketing teams to deliver solutions that meet customer needs and drive business outcomes. Key Responsibilities Product Lifecycle Management: Oversee the entire product lifecycle, from writing specifications to collaborating with cross-functional teams (design, engineering, marketing) to launch key product features. Planning & Execution: Manage the planning, scoping, execution, and delivery of multiple product development projects. Technical Oversight: Ensure technical implementation aligns with the product requirements and overall vision. Defining Product Architecture: Define the architecture, modules, interfaces, and data systems needed to meet product requirements. Product Strategy & Metrics: Develop and execute a product strategy that aligns with business goals, using data analysis to inform product decisions. Prioritization & Decision Making: Balance customer experience, technical constraints, and business drivers to make informed trade-offs. User-Centric Design: Gain a deep understanding of user needs, problems, and desires to shape product development. Prototyping & Documentation: Create product design prototypes and develop user manuals, help guides, and other support content. Cross-functional Leadership: Lead and interact with cross-functional teams to ensure smooth product development and delivery. What You ll Need Organizational & People Skills: Strong project management capabilities and the ability to work effectively with diverse teams. Technical Background: 1+ years of experience in software or product management roles, with a focus on project/program management. Agile & Scrum: Experience working in Agile environments, particularly with scrum methodology. Industry Knowledge: Previous experience in the internet or e-commerce industry is a plus, with exposure to SaaS-based tools. Learning & Adaptability: Quick to learn new concepts and tools with a strong desire for continuous self-improvement. Communication & Teamwork: Excellent communication and collaboration skills to work across multiple teams and stakeholders.

Job Title: Engineering Manager Order Management System (OMS) Location: Pune Role Overview: As the Engineering Manager Order Management System (OMS), you will be responsible for leading the design, development, and continuous evolution of a large-scale, distributed eCommerce platform. This platform processes high transaction volumes and integrates with complex third-party systems. You will manage a full-stack engineering team, ensuring system scalability, performance, and resilience while fostering a culture of ownership, technical excellence, and collaboration. Key Responsibilities: Own the full product lifecycle: Lead the conceptualization, architecture, design, implementation, deployment, and maintenance of the OMS and its integrations. Lead and mentor a team of 10+ engineers, guiding them through technical challenges and driving both backend and frontend development efforts to successful delivery. Architect scalable, distributed systems that handle high volumes of orders, inventory updates, and third-party data exchanges across the platform. Drive eCommerce integration strategy, collaborating with various systems including marketplaces, ERPs, WMS, payment gateways, and 3PLs to ensure robust data synchronization. Take technical ownership of both backend and frontend components, from database schema and API design to UI architecture and performance optimization. Establish and enforce engineering best practices, including coding standards, CI/CD workflows, observability, and security compliance, to ensure consistency and quality across the team. Be **hands-on** when necessary actively contributing to code, reviewing critical modules, and troubleshooting complex production issues. Ensure high availability, scalability, and data integrity in every design decision, embedding performance and security into the development lifecycle. Collaborate cross-functionally with Product, QA, DevOps, and Customer Success teams to ensure alignment between technical delivery and business priorities. Recruit and develop talent within the team, conducting technical interviews and nurturing a strong engineering culture. What You ll Bring: 12+ years of software engineering experience, with at least 4 5 years of hands-on experience in Ruby on Rails (RoR) backend development. Proven success in building and scaling distributed, event-driven systems that can handle high transaction volumes and complex integrations. Strong Angular expertise: Experience leading teams to deliver rich, responsive web applications. Deep knowledge of eCommerce and OMS domain concepts, including order lifecycle, inventory management, shipments, returns, and third-party partner integrations. Expertise in PostgreSQL/MySQL: Proficiency in schema design, query optimization, and performance tuning. Familiarity with RESTful APIs, webhooks, and common integration patterns for external systems. Experience working with cloud platforms (preferably AWS) and managing CI/CD pipelines for continuous deployment and delivery. Proven experience as an Engineering Manager or Technical Lead, with a track record of mentoring engineers and managing delivery across multiple engineering modules. A passion for building reliable, secure, and performant systems that deliver measurable business impact and enhance the customer experience. Excellent communication, organizational, and problem-solving skills, with the ability to effectively manage complex technical challenges. A strong sense of ownership, self-motivation, and a growth-oriented mindset, always striving to improve processes and systems. Nice to Have: Experience with microservices, asynchronous job processing, or message queues (e.g., Sidekiq, Resque, RabbitMQ). Exposure to SaaS or multi-tenant architectures. Familiarity with containerization (e.g., Docker) and monitoring tools (e.g., Grafana, ELK, Prometheus). Understanding of API versioning, rate limiting, and data consistency patterns in large-scale distributed systems. Innovative Environment: Work on a high-impact eCommerce platform that powers complex integrations and supports millions of transactions globally. Leadership Opportunity: Lead and mentor a talented team of engineers while driving technical strategy and best practices. Career Growth: Be part of a rapidly growing company with opportunities to develop both technically and professionally in a collaborative, dynamic environment. Impactful Work: Your work will directly impact the success of a highly scalable, high-performance platform that serves leading global businesses. If you are an experienced engineering leader with a passion for building scalable and resilient systems in the eCommerce domain, we would love to hear from you!

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Job Title: Software Engineer (Java + JavaScript) Location: Pune Experience: 3 5 Years Company: TraceLink Company Overview: TraceLink s innovative software solutions and Opus Platform empower the pharmaceutical industry to digitize their supply chain, enabling enhanced compliance, visibility, and decision-making. Our technology helps reduce disruptions in medicine supply, ensuring patients worldwide receive the treatments they need. Founded in 2009, TraceLink operates from 8 offices globally, employing over 800 professionals, and serving more than 1,300 customers across 60+ countries. We are recognized as an industry leader by Gartner and IDC and are known for a positive and inclusive company culture as rated by Comparably. Position Overview: As a Software Engineer, you will be responsible for designing, developing, and maintaining microservices that handle large-scale data interactions, contributing to all stages of the application development lifecycle. This role focuses on leveraging our cloud-based, distributed architecture to build scalable and efficient software solutions. Key Responsibilities: Develop clean, maintainable, and efficient code primarily using JavaScript (Node.js) and Java/JavaRx Design software components that maximize the benefits of our fully distributed, cloud-native architecture Provide architectural input and participate in design reviews to ensure solutions meet performance and quality standards Collaborate with Product Management, Architecture, and QA teams to clarify functional and non-functional requirements Research and recommend new technologies, tools, and methodologies to keep TraceLink at the forefront of innovation Accurately estimate development tasks and deliver within Agile Scrum sprints Integrate third-party components as needed to enhance product functionality Required Skills and Qualifications: 3-5 years of experience in application design and development Hands-on experience with JavaScript (Node.js) and Java/JavaRx, with strong proficiency in at least one Solid understanding of RESTful APIs, Microservices architecture, and container orchestration (Kubernetes) Experience with event-driven architectures and asynchronous messaging systems Skilled in writing functional and unit tests Experience building and consuming REST APIs; knowledge of Apollo Client/Server and GraphQL is a plus Familiarity with at least one cloud platform, preferably AWS Experience with CI/CD pipelines, version control systems (Git), and infrastructure as code Demonstrated ability to work effectively in an Agile/Scrum environment Strong problem-solving, communication skills, and ability to work both independently and in a team Solid fundamentals in Computer Science including Data Structures and Algorithms Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related discipline. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related discipline

Position: Senior / Lead Java Developer Location: Pune Work Type: Full Time Minimum Experience: 6 8 Years Top Skills: Core Java, Spring Boot, Cloud-Native Microservices About the Role At Cognologix, we empower data-driven enterprises to harness the full potential of their data. From scalable analytics to machine learning platforms, we help clients navigate their digital transformation journeys. As a Senior/Lead Java Developer, you will work with modern cloud-native technologies to build distributed systems that process terabytes of data efficiently and intelligently. Key Responsibilities Collaborate with Data Scientists, Engineers, and Product Managers to transform complex data into actionable insights. Design and develop high-performance, low-latency Java-based microservices. Own the end-to-end architecture, implementation, and maintenance of backend systems. Design and implement REST APIs and contribute to living documentation and test specifications. Write clean, scalable, and testable code following best development practices. Build and maintain data pipelines using Apache Spark, Google Data Pipelines, or similar tools. Mentor junior developers and actively contribute to team growth and knowledge sharing. Continuously optimize and enhance the software development lifecycle. What You Bring (Must-Have Skills) 5+ years of hands-on experience building scalable cloud-native applications. Proficient in Java, Spring, Spring Boot, and Spring Security frameworks. Experience with Groovy, SQL, or NoSQL databases. Familiarity with distributed event-driven architectures using Kafka, GCP Pub/Sub, etc. Solid understanding of RESTful API design principles and performance optimization. Experience in working with Google Cloud Platform (GCP) and BigQuery is a plus. Nice to Have (Preferred Skills) Exposure to containerized environments and tools such as Docker, Istio, and Kubernetes. Experience with big data technologies like Apache Spark, Flink, or similar platforms. Understanding of CI/CD pipelines, DevOps practices, and cloud infrastructure automation. Full-stack development experience or a willingness to contribute beyond backend responsibilities. High autonomy, fast-paced environment, and flat hierarchy Work on emerging technologies and solve meaningful problems at scale Remote work options available for experienced professionals Competitive compensation and family-friendly benefits Clear path for performance-based career growth About Cognologix Cognologix helps companies disrupt and innovate by reimagining their business models. We specialize in building modern, scalable, cloud-native products with a focus on data engineering, analytics, and automation. Our agile teams deliver high-quality, tech-driven outcomes across industries and geographies.

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Reporting Analyst Location: Pune Department: Research and Development Software Development Employment Type: Full-Time About Entrata Founded in 2003 by visionary college students transforming online rent payments, Entrata has grown into a global leader serving property owners, managers, and residents. Our award-winning software suite covers rent payments, insurance, leasing, maintenance, marketing, and communications reshaping property management worldwide. With over 2,200 team members globally across offices in Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup innovation with enterprise stability. We value transparent communication, diversity of thought, boldness, resilience, and collective excellence to create better living experiences. Role Overview Entrata is seeking a highly analytical and detail-oriented Reporting & Metrics Analyst to join our R&D team. In this role, you will design and maintain the reporting infrastructure that drives operational transparency and accountability across the product development lifecycle. You will collaborate closely with Product, Engineering, and Product Marketing teams to provide real-time insights into requirement tracking, release readiness, internal tool adoption, and go-to-market asset status. The ideal candidate has deep expertise in Domo, strong SQL skills, and familiarity with Jira schema and Agile workflows. Your passion for building intuitive dashboards, surfacing actionable metrics, and automating reporting will enable scalable, data-driven decisions. Key Responsibilities Design, develop, and maintain dashboards in Domo that track SDLC progress, release health, and adoption metrics. Ensure Jira data integrity by maintaining consistent tagging, statuses, and structures for epics and user stories. Write custom SQL queries to create calculated metrics, join datasets, and implement audit flags. Monitor data freshness and proactively alert teams to any inconsistencies or missing inputs. Track and report on product requirements planning and execution, including ownership and release eligibility. Provide visibility into internal communications deliverables, such as product updates, launch decks, and customer enablement content. Analyze usage and adoption metrics for internal tools (e.g., support agents, documentation platforms). Collaborate with Product Marketing to define standardized reports for quarterly planning, user conferences, and release briefings. Automate reporting workflows to minimize manual effort and maximize accuracy. Deliver regular reporting packages to R&D and cross-functional leadership teams. Minimum Qualifications 2+ years of experience in analytics or reporting within software, product, or data operations environments. Strong hands-on experience creating dashboards in Domo. Proficient in SQL for querying and manipulating complex datasets. Familiarity with Jira data structures, issue hierarchies, and Agile methodologies. Detail-oriented with a strong commitment to data quality and reporting accuracy. Excellent communication skills, with the ability to clearly document insights and enable stakeholders. Ability to manage multiple stakeholders and priorities in a fast-paced setting. Preferred Qualifications Experience reporting on product development, SDLC, or Agile delivery metrics. Background supporting go-to-market deliverables or product marketing functions. Familiarity with support analytics or customer experience platforms (e.g., Zendesk, internal AI tools). Comfortable collaborating with distributed teams and using remote collaboration tools.

Job Title: Team Member MDM Cell (Master Data Management) Experience Required: 3 to 5 Years Location: Pune Job Description We are seeking a skilled and detail-oriented professional to join our Master Data Management (MDM) Cell. The ideal candidate will be responsible for maintaining and improving the quality of master data, driving data governance, and supporting business operations through effective data management practices. Key Responsibilities Data Analysis & Optimization: Analyze master data and data sources to identify patterns, trends, and anomalies that can enhance operational efficiency and support data-driven decision-making. Data Audits: Conduct periodic audits of existing master data rules and ensure data integrity, accuracy, and consistency. MDM Best Practices: Provide guidance and expertise on MDM standards and best practices, helping implement robust data management frameworks across the organization. Project Coordination: Plan, coordinate, and execute MDM-related projects, ensuring they are delivered on time, within scope, and aligned with business objectives. Data Quality Improvement: Monitor and improve master data quality metrics, and reduce redundancy and discrepancies in systems and databases. Stakeholder Collaboration: Work closely with business stakeholders to gather data requirements and deliver a 360-degree view of enterprise data through tailored MDM solutions. Qualifications MBA, MCA, BCA, or a related degree 3 5 years of experience in Master Data Management or related domains Strong analytical and problem-solving skills Familiarity with data governance, quality metrics, and audit processes Ability to communicate effectively with technical and non-technical stakeholders Qualification : MBA, MCA, BCA, or a related degree

Position: Manager / Senior Manager Engineering Design Location: Pune Reports To: Engineering Project Lead Educational Qualification: B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering Experience: 12 16 years Industry: Construction Equipment / Automotive / Heavy Engineering Purpose of the Role To lead the end-to-end design and development of construction and earthmoving vehicles (CEV), ensuring innovation, functionality, manufacturability, and cost-effectiveness. This role is responsible for full product lifecycle management, from concept development and prototyping to validation, production readiness, and continuous improvement. Key Responsibilities Full Lifecycle Product Development Drive product development from concept through design, prototyping, testing, manufacturing, and implementation for CEVs. Develop system and component-level solutions aligned with functional, cost, material, and manufacturing requirements. Design Execution & Evaluation Create and review system concepts to ensure innovative and competitive design. Perform 3D modeling, 2D detailing, tolerance stack-ups, and geometric dimensioning (GD&T) using industry-standard CAD tools. Ensure designs are production-ready, meeting engineering, safety, and quality standards. Testing, Validation & Analysis Coordinate testing activities, including trial setups, instrumentation, and performance evaluations. Analyze test data, validate design intent, and implement necessary modifications. Conduct complex engineering calculations for strength, stiffness, service life, and material performance. Collaboration & Coordination Coordinate with internal cross-functional teams and external partners (vendors, design houses) for development and validation activities. Provide specifications, supervise and validate output from external design service providers. Resolve engineering issues and support production and service teams with design inputs. Design Documentation & Control Create and maintain technical documentation: engineering drawings, BOMs, cost comparison sheets, and design change notes. Ensure timely execution of engineering change requests (ECRs) and track their implementation. Use PLM and ERP systems for revision control and release management. Innovation & Standardization Drive the creation of new concepts for components, systems, and subsystems. Standardize parts and subassemblies to improve design efficiency and reduce cost. Identify opportunities for process improvement and design optimization. Key Competencies & Skills Deep technical knowledge in structural systems, fabrication, and vehicle integration. Proficiency in CAD tools (e.g., Creo, CATIA, SolidWorks) and PLM systems. Strong analytical skills in engineering calculations (load path, stiffness, stress, fatigue). Expertise in GD&T, tolerance analysis, and manufacturing drawing preparation. Hands-on experience with design problem-solving and root cause analysis. Effective communication and stakeholder management skills. Ability to lead cross-functional design reviews and mentor junior engineers. Role Authorities Accountable for design ownership and lifecycle maintenance of assigned systems/products. Responsible for execution and approval of engineering changes related to design. Qualification : B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering

Cybersecurity Expert Experience: 9 13 Years Location: Pune Role Overview: We are seeking a highly skilled Cybersecurity Expert with 9 13 years of experience in automotive or embedded systems cybersecurity. The ideal candidate will have strong hands-on experience in Threat Analysis and Risk Assessment (TARA), system-level security requirement derivation, and a solid grasp of cryptographic algorithms. Familiarity with ISO 21434 and cybersecurity process development is essential. Key Responsibilities: Derive detailed cybersecurity requirements from high-level system and functional requirements Conduct and lead Threat Analysis and Risk Assessments (TARA) to identify potential security vulnerabilities and recommend mitigations Evaluate and apply cryptographic algorithms to ensure data confidentiality, integrity, and authentication Contribute to the development, implementation, and maintenance of cybersecurity processes in alignment with ISO/SAE 21434 standards Collaborate with cross-functional engineering teams to integrate cybersecurity measures throughout the product development lifecycle Support audits and assessments related to cybersecurity compliance Key Qualifications: Experience: 9 13 years in embedded systems, automotive, or related cybersecurity domains Deep understanding of TARA methodologies and practical application in live projects Proven experience in working with and applying cryptographic protocols and algorithms (e.g., AES, RSA, ECC, SHA) Hands-on involvement in implementing cybersecurity processes aligned with ISO 21434 Strong analytical thinking, risk management mindset, and attention to detail Preferred Attributes: Professional certifications in cybersecurity (e.g., CISSP, CEH, GICSP, ISO 21434 training/certification) Knowledge of automotive systems, ECUs, CAN protocols, or embedded architecture Experience with security tools and platforms (e.g., threat modeling tools, secure code analyzers) Excellent written and verbal communication skills

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Senior Software Engineer CPD (SME - Linux/Systems) Location: Pune, India About the Role & Team As a Senior Software Engineer in the Continuous Product Delivery (CPD) team, you will lead a small team and collaborate closely with core engineering, product, and support teams. Your focus will be ensuring long-term stability and enhancing the customer experience for Rubrik s data backup and management products. You will gain deep knowledge of Rubrik s distributed job framework, data lifecycle management, filesystem, and metadata store. The CPD team, working alongside Platform and Systems Engineering, is tasked with developing a secure, scalable, and high-performance software-defined platform to simplify the management of physical and virtual appliances both on-premises and in the cloud. Rubrik values engineers who take ownership, exercise judgment, and are empowered to make critical decisions that drive customer delight. Key Responsibilities Own the full lifecycle of features including design, implementation, and testing. Design and develop infrastructure services for Linux kernel and Ubuntu OS upgrades. Diagnose and resolve complex customer environment issues. Write and maintain code primarily in Python and/or Scala. Troubleshoot complex software problems efficiently. Collaborate cross-functionally to define and deliver new features. Maintain technical documentation and participate in code reviews. Drive continuous process and software quality improvements. Stay current with emerging software development trends. About You BTech/MTech/PhD in Computer Science or related field. 6 10 years of software development experience on Linux, preferably in Platform, Systems, Kernel, or Networking domains. Strong fundamentals in data structures, algorithms, and distributed system design. Deep knowledge of Linux distributions, especially Ubuntu. Strong systems programming skills and expertise in debugging and performance troubleshooting. Experience performing Linux kernel upgrades and kernel debugging. Proficiency in scripting languages and one or more of C++, Java, or Scala. Experience in large distributed systems design is preferred. Familiarity with storage, filesystems, or data protection technologies is a plus. Excellent communication and teamwork skills. About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data through its Zero Trust Data Security platform. Leveraging machine learning, Rubrik Security Cloud safeguards data across enterprise, cloud, and SaaS applications, ensuring data integrity, availability, and resilience against cyber threats and operational disruptions. Qualification : BTech/MTech/PhD in Computer Science or related field.

Senior Software Engineer Continuous Product Delivery (CPD) Location: Pune, India About the Role & Team As a Senior Software Engineer in the CPD team, you will play a vital role in ensuring long-term stability and exceptional customer experience for Rubrik s on-premise data backup and management platform. You will collaborate closely with core engineering, product, and support teams while gaining deep expertise in Rubrik s distributed job framework, data lifecycle management, filesystem, and metadata store. We are looking for a highly skilled C++ developer with familiarity in Python and/or Scala, capable of developing and maintaining high-performance software applications. You will be empowered to take ownership, exercise sound judgment, and make impactful decisions, fostering a motivated and engaged engineering culture. Key Responsibilities Design, develop, and maintain high-quality software applications and libraries primarily in C++. Write and maintain supporting code in Python and/or Scala as needed. Troubleshoot complex software issues quickly and accurately. Collaborate with cross-functional teams to define, design, and deliver new features. Participate in code reviews, maintain coding standards, and author technical documentation. Drive continuous software quality and process improvements. Stay current with emerging software development trends and technologies. Qualifications & Skills B.Tech/M.Tech with 9 13 years of professional software development experience. Strong programming and troubleshooting skills, especially in C++. Proven ability to debug complex issues and deliver timely fixes. Excellent software design skills with understanding of distributed systems and multi-threading. Knowledge of the storage domain is a plus. Familiarity with operating systems such as Windows. Solid grasp of data structures, algorithms, design patterns, networking protocols, and security concepts. Experience with software development methodologies, tools, and processes. Strong analytical, problem-solving, communication, and teamwork skills. About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data through its Zero Trust Data Security platform. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications helping businesses maintain data integrity, availability, and resilience against cyberattacks and disruptions.

Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

Join Cencora and Make a Difference in Health! At Cencora, we believe that our team members are at the heart of everything we do. Together, we work towards a common goal: creating healthier futures. Every individual here plays a key role in helping us deliver on this purpose. If you're passionate about making a real impact in the health and wellness space, come join us and contribute to improving the lives of people and animals everywhere! Position: Reporting Engineer I - HRIT As a Reporting Engineer I, you will be an essential part of our HRIT team, creating and developing reports, supporting integration solutions, and ensuring seamless data flows across our systems. This role offers an opportunity to work with cutting-edge technology while maintaining an eye on business needs and data privacy requirements. Key Responsibilities: Report Creation and Development: Document functional and technical requirements for reports in alignment with business needs. Develop, test, and deploy reports based on the requirements provided by the Reporting Governance Lead. Collaborate on data privacy and security by identifying report-related security impacts and working with HRIT Security Admin to ensure compliance with Cencora s security model. Troubleshoot technology issues and resolve them in a timely manner. Coordinate schedules to ensure all deliverables meet established SLA timelines. Integration Development and Support: Document integration requirements and data flows based on Cencora s design principles. Develop integration solutions utilizing APIs, flat files (via SFTP), and other delivery models. Monitor and resolve data or integration delivery issues to ensure data integrity. Perform data load activities (ETL) to support the development of reports and integrations. Use tools like BIRT and Studio to write queries, design workflows, and create reports that support business functions. Skills & Requirements: Educational and Experience Requirements: A Bachelor's degree (preferably in Computer Science, Information Technology, or a related field) or equivalent work experience. 1-3 years of software development experience, with knowledge in technologies such as EDI, Web Services, API, SOAP, REST, XML, XSLT, Java, .NET, and other integration technologies. Familiarity with Workday (experience with Workday Studio is a plus). Previous experience with middleware technologies such as WebLogic, WebSphere, and Web Methods. Exposure to data integration projects and an understanding of the System Development Lifecycle methodology. Key Skills and Abilities: Strong analytical, troubleshooting, and problem-solving skills. Excellent verbal and written communication skills to engage with diverse teams and stakeholders. Ability to handle multiple projects and initiatives simultaneously in a fast-paced, evolving environment. Familiarity with object-oriented programming and web services. Ability to learn and adapt to new software and technologies quickly. At Cencora, we offer more than just a job; we offer an opportunity to make an impact. You ll be working with talented, passionate people in a fast-paced, collaborative environment, where innovation is encouraged. Alongside a competitive benefits package, we promote a culture of respect and inclusivity, ensuring that everyone has the opportunity to thrive. Qualification : Bachelor's degree is required, preferably in related field or equivalent work experience

Position Summary We are seeking a seasoned thought leader to lead our Decision Science and Commercial Analytics team. This role will be responsible for developing commercial forecasts for pipelines and launching products, as well as completing opportunity assessments for lifecycle management. You will leverage deep therapeutic area expertise, analytical instincts, strategic thinking, and project management skills to communicate the value assessment of new assets while identifying risks and opportunities. Job Responsibilities Client & Stakeholder Management: Manage client and onshore stakeholder relationships to ensure successful business delivery, aligning with business needs. Collaboration with Project Managers: Work closely with project managers to define the algorithm, break down the problem into actionable steps, and execute the analysis. Project Scoping & Solution Design: Lead project scoping, solution design, and execution, ensuring effective communication of analysis in client-ready formats. Demand Forecasting: Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support brand strategy. Forecast Assumptions: Prepare robust forecast assumptions by leveraging expertise and analogs from the Forecasting team and insights from the Insights and Analytics team. Forecast Accuracy: Establish objectives to ensure objectivity in brand and therapeutic area forecasts, focusing on forecast accuracy. Brand Volume Forecasting: Develop both short-term and long-term brand volume forecasts to support strategic and operational planning processes. Launch Support & Post-Launch Tracking: Support launch preparations and guide teams in setting up post-launch performance tracking. Create and monitor short-term revenue forecasts, adjust when necessary, and compare against actuals. Data-Driven Decision-Making: Deliver consistent analytics that drive informed decision-making. Define and develop models to answer critical business and operational questions. Education Bachelor's Degree (BE/B.Tech) Master of Business Administration (MBA) Work Experience 15+ years of experience working with Life Sciences companies in pharmaceutical forecasting and data analytics. Experience supporting both pipeline and marketed products is preferred; Specialty or Rare Disease experience is a plus. Expertise in various modeling techniques such as statistical modeling, patient-flow models, simulations, agent-based modeling, and systems dynamics. Proven experience in patient/epidemiology-based forecasting models for pharmaceutical clients. Strong project management skills, with the ability to lead the enablement of global life sciences companies in forecasting and analytics functions through innovative solutions. Extensive experience in EPI-based forecasting for inline, pipeline, and BD&L products/brands. Expertise with pharmaceutical datasets (e.g., IQVIA, Evaluate, IPD, Kantar, DRG, Rx, APLD, etc.). Experience working across multiple markets globally with a deep understanding of disease and therapy areas and their application to forecasting. Technical Competencies Life Sciences Knowledge Project Management Pharmaceutical Forecasting Expertise Attention to P&L Impact Business Development Capability Building & Thought Leadership Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership & Accountability Cultural Fit Talent Management Additional Information: This position requires a dynamic individual with a deep understanding of pharmaceutical forecasting, analytics, and project management. You will play a key role in supporting product and brand strategies with insightful, data-driven forecasting models and contribute to the growth and success of global life sciences clients. Qualification : Bachelor's Degree (BE/B.Tech)

Join Entrata: Lead the Charge in Transforming Property Management Software Position: Product Owner Location: Pune, India About Entrata Since 2003, Entrata has been at the forefront of revolutionizing property management. What began as a group of visionary college students changing the way rent is paid online has grown into a global leader in the industry. Our award-winning software suite spans rent payments, insurance, leasing, maintenance, marketing, and communication tools, and we continue to reshape the landscape of property management worldwide. With over 2200+ team members across the globe, from Utah to Texas to India, Entrata blends the energy of a startup with the stability of an established leader. Our values of innovation, transparency, and teamwork drive everything we do. If you re looking for an opportunity to make a tangible impact in an exciting industry, Entrata is the place for you. Position Overview: Product Owner Entrata is seeking a Product Owner to drive the development and delivery of innovative product features that will enhance the customer experience, streamline logistics processes, and optimize delivery operations. As a core member of our product team, you ll work closely with cross-functional teams, including UX designers, software architects, and developers, to deliver top-notch software solutions. If you re passionate about making a difference and have a background in product ownership or business analysis in a software environment, this role is for you. What You ll Do: Shape the Product Roadmap: You will develop and execute the product roadmap for delivery-related features, ensuring alignment with business objectives and customer needs. Manage Backlogs & Prioritize: Define and prioritize product requirements, user stories, and acceptance criteria. Organize and maintain the product and team backlogs to keep the development teams on track. Collaborate Across Teams: Work with stakeholders across development, customer success, and UX teams to ensure smooth communication and timely product delivery. Translate User Needs into Features: Connect with different user personas, understand their tasks, and work closely with the UX teams to capture their requirements. Drive Product Evolution: Study competing products and features, identify industry trends, and inform product development based on your findings. Oversee Product Lifecycle: Manage the development, testing, and release of product features, ensuring that quality is maintained and deadlines are met. Continuous Improvement: Analyze product performance metrics and gather customer feedback to continuously iterate on and improve product features. Act as the Subject Matter Expert: Provide expert guidance on delivery operations to internal teams and clients, supporting them with insights and best practices. Stay Ahead of the Curve: Stay updated on industry best practices and technological advancements in delivery management to ensure Entrata s products remain cutting-edge. What You Bring: Education & Experience: A Bachelor s degree in Computer Science, Engineering, or a related field. You bring 3+ years of experience in product management or a related role, preferably in the software industry. Agile Expertise: You are familiar with agile development methodologies and tools (such as Jira), and you can apply them to optimize delivery processes. Clear Communication: You excel in written and verbal communication, with the ability to translate complex requirements into actionable plans and articulate them clearly to stakeholders. Analytical & Problem-Solving Skills: You have a strong ability to analyze data and solve problems, ensuring that product features meet the highest standards of quality. Collaboration Skills: Your ability to work with cross-functional teams is unmatched. You understand how to leverage the collective expertise to deliver exceptional results. Nice to Have: SaaS Experience: Experience working in the SaaS industry or with property management software is a plus. Certifications: You hold relevant certifications like CBAP, SAFe for PO, or Design Thinking for Product Management. SQL Knowledge: Familiarity with optimizing SQL queries and understanding database triggers is an advantage. Data Tools Proficiency: Experience with product analytics and data visualization tools like Amplitude, Tableau, or Power BI. Property Management Insight: Any experience or understanding of the property management industry will help you hit the ground running. Career Growth: Entrata fosters a Be valued, Create value culture, empowering you to grow both personally and professionally. Health & Wellness: Choose from world-class medical, dental, vision insurance, plus life assistance programs to keep you and your family covered. Work-Life Balance: Enjoy generous time off to recharge and prioritize your well-being. Financial Stability: Take advantage of RSUs, ESPP, retirement plans, and more to secure your future. Collaborative Culture: We believe in the power of teamwork and diversity. At Entrata, we encourage innovative thinking, personal development, and mutual respect. Entrata isn t just a place to work it s a place to grow, to innovate, and to help shape the future of property management. If you're ready to join a dynamic team that s making a difference on a global scale, we d love to hear from you. Qualification : Bachelors degree in computer science, engineering, or a related field.