Reference Data 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

Automation Engineer II Location: Pune About Rapid7 At Rapid7, we are creating a more secure digital future for all by helping organizations strengthen their security programs in the face of accelerating digital transformation. Our portfolio of industry-leading solutions empowers security professionals to manage risk and eliminate threats across the entire threat landscape from applications and cloud environments to traditional infrastructure and the dark web. Trusted by over 10,000 customers worldwide, we are committed to fostering open-source communities and driving innovation through cutting-edge research. At Rapid7, we believe in optimizing our products by leveraging the latest insights into attacker methods, arming the global security community with the tools to stay ahead of threats. Position Summary We are looking for a talented Automation Engineer to join our Enterprise Applications team. This role focuses on developing and maintaining integrations and automation solutions using Workato. As an Automation Engineer, you will work closely with Business Systems Analysts to understand requirements, collaborate with cross-functional teams, and partner with Quality Assurance Engineers to ensure that integrations and automation workflows meet business needs. You will also handle unit testing, ensure thorough documentation, and use tools like Jira and Confluence for task management and collaboration. Key Responsibilities Integration Development: Design, develop, and maintain integrations between key enterprise systems (Salesforce, NetSuite, Data Warehouses, Workato, etc.) to ensure seamless data flow and process automation across platforms. Automation Solutions: Build and implement automated workflows using Workato to streamline internal business processes, reduce manual tasks, and enhance system efficiencies across various departments. Cross-functional Collaboration: Collaborate with engineers, business teams, and QA Engineers to ensure that integration solutions align with both technical requirements and business objectives. Requirement Gathering: Partner with Business Systems Analysts to gather requirements, understand business needs, and identify opportunities for process automation and integration improvements. Unit Testing & Debugging: Perform unit testing for integrations and automation workflows, debug issues as needed, and ensure the code meets quality standards before deployment. Task Management (Jira): Use Jira to manage tasks, track user stories, and address bugs related to integrations and automation workflows. Participate in sprint planning, stand-ups, reviews, and retrospectives to ensure smooth project execution and delivery. Documentation: Create and maintain detailed documentation for all integrations, workflows, and automation processes, ensuring that all technical configurations, code, and test results are clearly documented for future reference. Support & Troubleshooting: Provide ongoing support for deployed integrations, troubleshoot issues as they arise, and implement timely fixes to maintain operational continuity. Process Improvement: Contribute to continuous improvement initiatives by identifying opportunities to enhance automation workflows, increase efficiency, and reduce errors in integration processes. Key Requirements Experience 2+ years of experience in integration and automation development with a strong focus on Workato. Proven experience building and maintaining integrations between enterprise systems like Salesforce, NetSuite, or similar platforms. Demonstrated experience working with cross-functional teams, including collaboration with Business Systems Analysts and QA Engineers. Technical Skills Expertise in using Workato for integration and automation solutions. Solid understanding of API integrations, RESTful services, and data formats such as JSON and XML. Proficiency in unit testing, debugging, and troubleshooting integration workflows. Experience using version control systems such as Git. Familiarity with other integration tools and platforms is a plus. Jira Experience Comfortable using Jira for task tracking, managing sprints, and collaborating with cross-functional teams. Communication & Problem-Solving Strong ability to communicate technical concepts to non-technical stakeholders clearly and effectively. Strong analytical and troubleshooting skills to resolve integration and automation challenges efficiently. Ability to create clear, concise, and well-organized technical documentation. Education & Nice to Have A degree in Computer Science, Information Technology, or a related field is preferred. Familiarity with Agile development methodologies and tools like Jira. Experience with cloud platforms such as AWS or GCP and their integration capabilities. Security and Compliance At Rapid7, we prioritize the security of our customers and employees. All team members are expected to uphold the highest standards of security and privacy, ensuring the protection of sensitive information and compliance with relevant regulations. Qualification : A degree in Computer Science, Information Technology or a related field is preferred

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

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.

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

Program Manager RFQ Location: Pune Experience: 5 7 Years Industry: Automotive / Manufacturing / Engineering Department: Program Management / Costing / Business Development Support Function: RFQ Management, Product Costing, Cross-functional Program Execution Job Summary: We are looking for an experienced Program Manager RFQ to lead and manage the end-to-end RFQ (Request for Quotation) process by closely coordinating with Business Development, R&D, Manufacturing Engineering, Supply Chain, and Costing teams. The role requires strong technical, commercial, and program management skills to support business acquisition efforts and ensure accurate and timely cost proposals to customers. Key Responsibilities: 1. RFQ Planning & Coordination: Act as the single point of contact between CFT and Business Development (BD) teams. Participate in Kick-off meetings (DR0/Phase 0) to define customer expectations, RFQ targets, and project milestones. Drive execution of RFQs through PLM tool, ensure project plan is created and updated regularly by CFT. Maintain departmental RFQ trackers and ensure timely closure of tasks. 2. Technical & Costing Feasibility: Coordinate with R&D for BOM, technical specifications, and risk identification. Facilitate engineering, manufacturing, and commercial feasibility assessments with CFT. Liaise with SCM, Tooling, and ME teams to gather inputs on tooling cost, BOP quotes, and capital investments. Review and validate tooling cost breakdown and share it with BD in customer-specific formats. 3. Cost Sheet Preparation & Analysis: Prepare detailed cost sheets aligned with benchmarks and internal targets. Conduct investment analysis using IRR, NPV, and RMC calculations. Support BD in customer negotiations with cost justifications, break-ups, and scenario planning. Maintain centralized cost database for reference and person-independent execution. 4. Gate Review & Program Handover: Track cost evolution across Gate exits, monitor deviations vs. Phase 0 plan. Lead Gate 0 closure and officially handover the project to Program Manager for development phase. Plan phase-wise execution with alignment from SCM and CFT. 5. Win-Loss Analysis & Continuous Improvement: Conduct Win-Loss analysis of RFQs handled, capture learnings, and drive continuous improvement. Optimize BOM costs and capital investments during execution versus Gate plans. Special Focus Areas: Polymer / Metallic Product RFQs Evaluate SOR, CSR, tooling, FTG requirements. Participate in supplier visits for evaluation and negotiation support. Support technical feasibility studies, DVP cost reviews, and risk assessments with internal teams. Required Skills & Qualifications: Bachelor s degree in Engineering (Mechanical / Production preferred). 5 7 years of experience in RFQ management, product costing, and automotive program management. Strong understanding of BOM structures, investment planning, tooling strategy, and costing principles. Hands-on experience with PLM tools, costing software, and Excel-based costing models. Exposure to IRR, NPV, benchmarking, and cost optimization frameworks. Excellent techno-commercial acumen, negotiation skills, and cross-functional leadership. Preferred Experience: Prior experience in automotive product development or costing departments. Familiarity with metallic product costing, supplier tool audits, and customer negotiation support. Knowledge of Gate-based product development processes. Lead strategic RFQ initiatives that directly impact business wins. Work with cross-functional teams on technically complex and commercially significant projects. Be part of a growth-driven, innovation-focused automotive engineering company. Qualification : Bachelors degree in Engineering (Mechanical / Production preferred)

Position: Senior Analyst TReC Costing Location: Pune, India Company: FORVIA (Faurecia Interior Systems) About FORVIA FORVIA is a global leader in automotive technology, focused on delivering innovative and sustainable mobility solutions. As the 7th largest global automotive supplier, we are shaping the future of mobility with over 157,000 employees in 43 countries. Your Mission As a Senior TReC Costing Analyst, you will be responsible for calculating and managing tooling reference costs for FORVIA Interior Systems programs. You will play a key role throughout the acquisition and development phases, working closely with cross-functional teams to ensure accurate, competitive, and optimized tooling cost estimations aligned with our program and business goals. Key Responsibilities Acquisition Phase Define the complete tooling package (in-house, bought-out parts, and assembly tools) per Program Management System (PMS) guidelines. Analyze the Bill of Materials (BOM) and process flow charts to build a detailed tooling list. Develop tooling concepts using CAD models, 2D drawings, and technical visuals (e.g., tool movements, inserts, cavities). Estimate tooling costs in alignment with the Tool & Equipment (T&E) strategy. Apply defined tooling margins and create pricing summaries in customer-specific (OEM) templates. Present and distribute cost breakdowns to internal stakeholders (Program Managers, T&E Buyers, etc.). Update and refine cost estimates across acquisition rounds, collaborating with Customer Business Units (CBUs). Contribute ideas to enhance FORVIA's competitiveness in project quotations. Development Phase Support Engineering and T&E Buyers with cost estimates for Engineering Change Requests (ECRs). During tooling RFQ (Request for Quotation) phases, calculate target costs based on part designs, technical specifications (IDS), and T&E strategies. Compare supplier cost breakdowns with TReC estimates during SNC (Supplier Nomination Committee) phases. Analyze gaps and provide justification or negotiation support to the Purchasing team. Maintain costing data for traceability and knowledge sharing post-nomination. Support tooling cost targets for engineering or program design changes. Cross-functional Collaboration Work closely with: CBU Cost Analysts (for both in-house and BOP parts), Central Costing Teams (to evolve TReC methodology), Global teams to ensure cost competitiveness and process alignment. Contribute to continuous improvement within the costing function by proposing innovative ideas and solutions. Your Profile Education & Experience Bachelor s or Master s degree in Engineering, or Diploma in Tool & Die Design. 6 10 years of experience in industrial environments, including exposure to production, tooling, or manufacturing engineering. Technical Skills Deep understanding of Injection Molding tools, post-processing tools (e.g., plastic welding, gauges, covering), and assembly processes. Familiarity with interior automotive components such as instrument panels, door panels, and center consoles. Knowledge of various supplier technologies is an advantage. Proficiency in interpreting CAD data and 2D technical drawings. Soft Skills Strong communication, analytical, and problem-solving abilities. Ability to synthesize complex technical data into actionable insights. Comfortable working cross-functionally and across international teams. Fluent in English (mandatory); basic knowledge of French or German is a plus. Global Impact: Work with a top-tier automotive supplier on industry-defining technologies. Innovation & Growth: Collaborate on high-impact projects and develop your career in a dynamic, global environment. Learning Culture: Access cutting-edge training through FORVIA University. Sustainability Leadership: Join a company committed to CO2 Net Zero and certified under the SBTi Net-Zero Standard. Inclusive Workplace: Thrive in a diverse, multicultural team that values collaboration and continuous improvement. Qualification : Bachelors or Masters degree in Engineering, or Diploma in Tool & Die Design

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Python Automation Test Engineer Experience: 2 4 Years Location: Pune Role Overview: We are seeking a Python Automation Test Engineer with strong expertise in Python programming and automation testing. The ideal candidate will have hands-on experience in developing automation frameworks, interfacing with hardware protocols, and implementing REST APIs. Knowledge of vision-based automation and infotainment testing will be an added advantage. Key Responsibilities: Develop and maintain automation frameworks using core Python, emphasizing object-oriented design principles Create Python libraries to interface with various hardware protocols such as CAN, USB, Serial port, and Ethernet Implement and integrate REST APIs for data handling and communication Build vision-based automation tools, including libraries for processing text, images, and UI elements from reference images (preferred) Develop or utilize VR libraries and implement text/speech translation functionalities (advantageous) Perform automation testing of software modules with a focus on reliability and efficiency Support infotainment system testing by designing and executing relevant test automation Design and implement best practices and standards for test automation frameworks to ensure scalability and maintainability Required Skills & Qualifications: 2 4 years of experience in Python programming with a focus on automation Strong understanding of object-oriented programming (OOP) concepts Proven experience developing Python libraries for hardware interfacing and automation Familiarity with hardware communication protocols: CAN, USB, Serial, Ethernet Experience in working with REST APIs in Python Hands-on knowledge of automation testing methodologies Understanding of infotainment testing processes Good communication skills and ability to work collaboratively in a team environment Bonus: Experience with vision-based automation frameworks, VR libraries, and speech/text translation

Position: Provider Data Operations Senior Associate Location: Pune, Maharashtra, India Our Mission: Healthcare should work for patients, but often it doesn t. Zocdoc empowers patients by offering the leading healthcare marketplace to easily find and book care across specialties and insurance plans nationwide. Our goal is to make healthcare consumer-friendly, driving quality up and prices down. Your Impact: As a Senior Provider Data Operations Associate, you will be the guardian of Zocdoc s data ecosystem managing, structuring, and analyzing large volumes of data to ensure accuracy and integrity. You'll transform raw data into strategic insights that drive decision-making and continuous improvement. By leveraging AI tools, JavaScript, and SQL, you ll optimize workflows and scale operational processes across product and operations teams. Day-to-Day Responsibilities: Use AI prompts to improve workflow efficiency. Develop and maintain automation scripts using Google Apps Script and JavaScript. Troubleshoot and optimize scripts to enhance functionality and scalability. Extract, manipulate, audit, and analyze data using SQL. Generate actionable insights from various dashboards. Support product decisions with data-backed research and cross-functional collaboration. What Makes You Successful: Bachelor s degree with good academic standing (minimum 60% in 10th/12th/graduation). 3-4+ years of relevant work experience. Proven experience using AI tools for automation. Advanced skills in Microsoft Excel and Google Sheets, including Google Apps Script. Working knowledge of JavaScript and comfort with web-based tools. Understanding of Python and expertise in SQL is a plus. Strong communication skills to translate technical and non-technical information. Ability to manage multiple tasks in a fast-paced environment with a strong sense of accountability. Experience in US healthcare or healthcare technology is a bonus. Benefits: Work with a smart, supportive, and collaborative team. Competitive salary and medical insurance. Perks such as catered lunches, Ping Pong, daycare facilities, and wellness programs. Cellphone and Wi-Fi reimbursements. Competitive parental leave and sabbatical after 5 years. Annual sponsored health check-ups. Certified Great Place to Work (2024-2025). About Zocdoc: Zocdoc is the leading digital health marketplace in the US, connecting millions of patients with nearby, in-network healthcare providers. Founded in 2007, Zocdoc s mission is to empower patients with choice and transparency. We value diversity, collaboration, and innovation, striving to build a better healthcare experience for all. Qualification : Bachelors degree with good academic standing (minimum 60% in 10th/12th/graduation).

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.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Job Title: Senior Azure Data Engineer Experience: 8 - 10 years Location: Kharadi, Pune Role & Responsibilities Design, develop, and maintain scalable, high-performance data pipelines using Azure Data Services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Build and optimize data models, ETL/ELT processes, and data integration workflows to support analytics and BI needs. Develop and manage data lakes, data warehouses, and real-time streaming solutions on Azure. Collaborate with data analysts, scientists, and software engineers to ensure smooth data integration and processing. Ensure data security, governance, and compliance following industry best practices and regulations. Monitor and troubleshoot data pipelines, focusing on performance and reliability enhancements. Automate data workflows and infrastructure using DevOps and CI/CD methodologies. Work closely with stakeholders to translate business requirements into robust data solutions. Required Skills & Qualifications 8-10 years of experience in data engineering, with at least 3 years focused on Azure data services. Strong expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure SQL Database. Proficient in SQL, Python, or Scala for data processing and transformation. Experience with Big Data technologies like Spark, Delta Lake, and Parquet. Hands-on experience with ETL/ELT development and orchestration of data pipelines. Knowledge of Azure DevOps, CI/CD pipelines, and Infrastructure as Code tools (Terraform, ARM templates, Bicep). Familiarity with data governance, security best practices, and compliance frameworks. Experience with Power BI, Snowflake, or other BI/analytics tools is a plus.

Job Title: Senior AWS Data Engineer Experience: 5+ years Location: Kharadi, Pune Role & Responsibilities Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, and Step Functions. Implement and maintain data lakes and data warehouses on AWS platforms including S3, Redshift, and Athena. Develop and manage both real-time and batch data processing solutions. Ensure data security, governance, and compliance following industry best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable, data-driven solutions. Optimize query performance and troubleshoot data issues proactively. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Implement monitoring, logging, and alerting frameworks using AWS CloudWatch, Prometheus, or equivalent tools. Mentor junior engineers and actively contribute to data engineering best practices and standards. Required Skills & Qualifications 5+ years of experience in data engineering, with at least 3 years focused on AWS cloud services. Strong hands-on experience with AWS services including Glue, Redshift, S3, Lambda, EMR, and Athena. Proficient in SQL, Python, and Spark for data processing and analytics. Experience designing and implementing ETL/ELT pipelines. Familiarity with DevOps practices, CI/CD pipelines, and automation tools such as Terraform, CloudFormation, and Jenkins. Deep understanding of data governance, security protocols, and compliance frameworks. Experience with real-time data streaming and processing technologies such as Kafka, Kinesis, or similar tools. Knowledge of database optimization techniques including indexing and partitioning.

Salesforce Commerce Cloud Developer Pune Location: Pune Experience: 4+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s Degree in Computer Science, IT, or related field Job Summary: We are seeking an experienced Salesforce Commerce Cloud Developer specializing in Salesforce B2B Commerce Cloud to join our Pune team. The ideal candidate will lead end-to-end implementation, customization, and integration of Salesforce B2B Commerce solutions, driving business growth and enhancing user experience. Key Roles & Responsibilities: 1. Salesforce B2B Commerce Implementation: Lead the design, configuration, and deployment of scalable Salesforce B2B Commerce Cloud solutions. Collaborate with business stakeholders and technical teams to gather and refine requirements. Customize B2B Commerce features, including pricing, product catalogs, and promotions. 2. Integration & Data Management: Integrate Salesforce B2B Commerce with ERP, CRM, and other enterprise systems. Ensure data accuracy with cleansing, maintenance, and synchronization processes. Monitor, troubleshoot, and resolve integration and data issues efficiently. 3. User Training & Support: Provide comprehensive training and ongoing support to end-users for optimal platform utilization. 4. Analytics & Reporting: Develop and maintain reports and dashboards to monitor key performance indicators (KPIs). Analyze commerce data trends and offer actionable insights for continuous improvement. 5. Continuous Improvement: Stay current with Salesforce B2B Commerce Cloud updates, features, and best practices. Propose and implement enhancements to improve platform performance and user experience. Required Skills & Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related discipline. Salesforce Certified B2B Commerce Developer certification (or equivalent) highly preferred. Proven experience in Salesforce B2B Commerce Cloud implementation and management. Strong proficiency with Salesforce CRM and related Salesforce technologies. Hands-on skills in HTML, CSS, JavaScript, and Apex programming. Experience with agile software development methodologies is a plus. Non-Technical Skills: Excellent verbal and written communication skills. Strong analytical and problem-solving abilities. High attention to detail and quality. Ability to work independently and collaboratively in a team environment. Work with cutting-edge Salesforce B2B Commerce Cloud technologies. Be part of a dynamic and supportive team driving digital transformation. Competitive salary with growth and learning opportunities. Flexible and collaborative work environment in Pune. Apply today to advance your career as a Salesforce Commerce Cloud Developer and help businesses scale with innovative Salesforce B2B Commerce solutions! Qualification : Bachelors degree in Computer Science, Information Technology, or a related discipline.

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!

Job Title: Android Developer About the Role IVS Software Solutions is seeking a skilled and motivated Android Developer to join our team. You will be responsible for end-to-end Android application development, collaborating closely with clients and internal teams to deliver high-quality, scalable, and user-centric mobile applications. This role requires a strong understanding of Android development, attention to detail, and excellent communication skills. Roles and Responsibilities: Define Clear Objectives Understand project requirements and define actionable goals for each development phase to stay focused and organized. Effective Communication Maintain regular updates with team members and clients. Communicate progress, address roadblocks, and seek feedback to align with project goals. Adherence to Design Guidelines Follow Android Material Design principles to ensure a consistent and intuitive user experience across devices. API Integration Integrate external APIs and data sources securely and efficiently. Handle edge cases and errors gracefully. Unit Testing Write and maintain comprehensive unit tests to validate app functionality and reliability. Bug Fixing & Performance Optimization Identify and fix bugs. Continuously analyze and optimize code for performance. Continuous Learning Stay current with emerging Android technologies, tools, and best practices. Documentation Document code, architecture, and APIs clearly for easy collaboration and future reference. Professional Conduct Maintain professionalism in team and client interactions. Meet deadlines and proactively address challenges. Key Requirements: Bachelor s degree in Computer Science, Engineering, or a related field. 1+ years of experience in Android application development. Proficiency in Kotlin, Java, Android SDK, and Android NDK. Familiar with RESTful APIs integration. Proficient in using Git or other version control systems. Knowledge of testing tools relevant to Android development. Strong analytical and problem-solving skills. Experience in a start-up environment is a plus. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.