BIG Data Engineer Jobs in Chennai

Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field

Position: Backend Developer Location: Chennai Department: Engineering Job Type: Full-time Industry: E-Publishing About Us Kriyadocs is a leading document workflow platform for the publishing industry. For over 18 years, we ve partnered with world-renowned publishing houses to deliver world-class, publication-ready digital and print content. By embracing cutting-edge technology and streamlined processes, we provide innovative solutions that make publishing seamless and efficient. At Kriyadocs , we re driven by technology at our core, always staying ahead of the curve to offer the best capabilities for both our clients and employees. This commitment is reflected in our vision to simplify publishing as easily as the click of a button. Our Vision To revolutionize content publishing and become the go-to partner for individuals and organizations sharing knowledge. Our Mission To deliver seamless, high-quality content publishing through technology and innovation, ensuring happy authors and employees alike. What It s Like to Work Here At Kriyadocs, we embody a culture of: Delivering Excellence, Delivering Delight Staying Curious, Staying Driven Dreaming Big, Rising Together You ll fit right in if you re: Fearless in tackling challenges Eager to learn new skills and achieve successful outcomes Passionate about taking pride and ownership in everything you do Role Overview We re seeking a passionate Backend Developer to join our dynamic development team. You ll be working on innovative, cutting-edge technologies to build scalable and robust systems. If you enjoy solving complex problems, thrive in a collaborative team environment, and love to ask "why?" we want to hear from you! This role requires strong analytical skills, the ability to communicate complex technical decisions clearly, and a readiness to take ownership in an agile development environment. What You ll Do Engage in the entire application lifecycle, focusing on coding, debugging, and testing. Write, refine, and test code to ensure stability and compatibility across different systems. Troubleshoot and debug applications to maintain seamless functionality. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Follow project specifications to design and develop features, ensuring alignment with requirements. Document processes and knowledge for future reference and team learning. Must-Have Skills 1+ years of experience in a modern programming language such as Java, GoLang, Node.js, Python, or Ruby on Rails (RoR). Strong understanding of data structures, algorithms, and software design principles like SOLID. Strong problem-solving abilities and analytical aptitude. Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience with version control tools like Git or SVN. Flexibility to work with multiple programming languages (e.g., Node.js, Python) and technologies like XSLT and XML Pipelines. Good-to-Have Skills Experience working with the Node.js stack. Familiarity with unit testing and automation frameworks. Experience in a public cloud environment (AWS preferred). Exposure to distributed microservice architectures. Understanding of the Agile product development lifecycle. Eligibility Criteria Bachelor's or Master s degree in Computer Science or a related field from a reputed institution. Internship experience in software development is a plus. 1-2 years of relevant work experience. Qualification : Bachelor's or Masters degree in Computer Science or a related field from a reputed institution

Position: Senior Data Conversion Specialist Location: Chennai Department: Publishing Services Job Type: Full-time Industry: E-Publishing About Us At Kriyadocs , we ve partnered with prestigious publishing houses around the world for over 15 years, delivering world-class digital and print content. By leveraging cutting-edge technology, streamlined processes, and deep domain expertise, we simplify publishing workflows from authoring to distribution. Our peer review and production platforms are complemented by services like copyediting, typesetting, and project & author management. Our mission is to create outstanding experiences for authors, publishers, and employees through innovation and technology, helping bring authors work to life and share it with the world. We re driven by a passion for customer-first solutions, and we empower our team to take on challenges, exchange knowledge, and enrich processes across the publishing ecosystem. What It s Like to Work Here We re a fast-growing team of smart, enthusiastic individuals with a can-do attitude. We believe in: Customer-First: We put our customers at the heart of everything we do. Continuous Learning: We embrace innovation and encourage growth. Collaboration: We work as a team, solving challenges together. If you're looking for a place where you can make a real impact, come join us! Role Overview We re looking for an experienced Senior Data Conversion Specialist to join our dynamic team. You ll be responsible for converting content into various formats, ensuring high-quality deliverables while adhering to tight deadlines. Your role involves working with XML, digital technologies, and conversion tools, while collaborating with internal teams and clients to resolve issues and meet project goals. Key Responsibilities Meet daily benchmarks and ensure timely project delivery. Ensure there are no escalations or complaints from internal or external stakeholders. Maintain accurate project records and documentation. Communicate product-related issues with detailed information and improvement suggestions. Use appropriate tools to ensure the quality of delivered content. Deliver final files to clients on specified platforms in a timely manner. Adhere to client Service Level Agreements (SLAs). Evaluate and onboard freelancers/vendors as needed. Study and understand client requirements, create instruction documents, and produce conversion samples. Analyze customer requirements to define tool requirements and document for automation. Work independently or in a team to meet tight deadlines. Skills & Experience Strong knowledge of XML, including both book and journal XML formats. Hands-on experience working with DTD, MathML, and XML editors (Epsilon, XML Exchanger, Oxygen XML, Notepad++, etc.). Familiarity with digital technologies such as XPath, XSLT, Schema, and ePub. Experience with third-party deliverables like PubMed, PMC, Ingenta, HighWire, Atypon, and Crossref. Excellent communication, problem-solving, and analytical skills. Strong attention to detail, ability to maintain quality under pressure, and a proactive learning attitude. Eligibility Criteria Role: Senior Data Conversion Specialist Location: Chennai Experience: 5+ years of related experience in data conversion or a similar field. Qualification: Bachelor's degree preferred. Equivalent years of experience may be considered in lieu of a degree. Qualification : Bachelor's degree preferred

Senior Data Scientist AI/ML Location: Chennai About the Team Join the ZF Center of Excellence (COE) team, where we translate complex AI, Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) concepts into impactful solutions. Our team communicates cutting-edge research insights to both technical and non-technical audiences, including presentations at conferences and publications in academic journals. What to Expect in this Role Conduct advanced research to develop innovative AI/ML methodologies, with a focus on DL and RL techniques. Design and execute experiments to validate new approaches and benchmark machine learning algorithms. Analyze complex datasets to discover hidden patterns that drive AI innovation. Stay current with the latest advancements in algorithms, tools, and theoretical frameworks, exploring areas such as model interpretability and efficient deep learning training. Prototype and evaluate advanced models like CNNs, RNNs, and other deep learning architectures. Develop foundational algorithms and frameworks applicable across diverse machine learning challenges. Focus on enhancing model efficiency, reducing bias, and improving explainability. Document research methods, experiments, and theoretical contributions to facilitate knowledge sharing. Shape the team s long-term research vision and strategic goals. Candidate Profile Master s degree in Mathematics, Computer Science, or related fields; PhD is a strong plus. 8+ years of research and development experience with deep knowledge of data structures and algorithms. 5+ years experience deploying ML models in production environments. Proficient with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing and large-scale data processing systems. Strong communication and teamwork skills. Experience contributing to invention disclosures and intellectual property processes. Proven publication record in leading machine learning conferences or journals. Innovative Environment: Work at the forefront of technology with a culture that fosters creativity and continuous growth. Diverse & Inclusive Culture: Thrive in an environment that values diversity, equity, and mutual respect. Career Development: Benefit from extensive training, clear advancement paths, and global project opportunities. Global Presence: Collaborate with international teams and contribute to world-class driveline and chassis technologies. Sustainability Commitment: Play a role in eco-friendly initiatives and reducing environmental impact. Employee Well-being: Enjoy health and wellness programs, flexible work options, and a supportive work-life balance. Join Us Take your AI/ML expertise to the next level with ZF. Apply now for the Senior Data Scientist AI/ML role and contribute to shaping the future of mobility! Our Commitment to Diversity, Equity & Inclusion (DEI) At ZF, we are dedicated to building a culture of inclusion where diversity is celebrated. We work to remove barriers so every employee can thrive and contribute to our shared legacy of innovation and excellence. Qualification : Masters degree in Mathematics, Computer Science, or related fields; PhD is a strong plus

Job Title: Data Engineer Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 to 4 years Job Description Blackstraw Technologies Pvt Ltd is seeking a skilled Data Engineer to join our dynamic team. You will play a crucial role in transforming raw data into actionable insights by designing and maintaining robust data pipelines and systems. Your work will ensure alignment between data infrastructure and business goals, helping to drive efficiency and scalability. You will leverage your analytical skills and proficiency in various programming languages to integrate, process, and optimize data from diverse sources. You will also collaborate closely with data scientists and end-users to support data-driven decision-making. Key Responsibilities Design, build, and integrate data pipelines from multiple sources for analytics and operational purposes. Perform data integration and troubleshoot production and development issues. Develop, automate, and optimize ETL pipelines and workflows. Work with big data technologies including Hive, Spark, and Hadoop; optimize performance for large-scale data processing. Write and maintain efficient Spark/PySpark or Spark/Scala programs. Utilize strong SQL skills for querying and database design. Develop shell scripts (Unix/Linux) to automate data processing tasks. Collaborate with data scientists and various business teams to understand and fulfill data needs. Maintain and deploy ETL code following Agile methodologies. Handle service delivery tickets and provide support related to ETL tools. Participate in root cause analysis and problem resolution for data pipeline issues. Required Skills & Qualifications Bachelor s degree in Computer Science, Information Technology, or related field; Master s degree is a plus. 2 to 4 years of hands-on experience in data engineering or related roles. Strong expertise in ETL development and data integration tools. Proficiency in Spark (PySpark or Scala), Hive, and Hadoop ecosystem. Advanced SQL skills and experience with relational database management systems (RDBMS). Experience with shell scripting in Unix/Linux environments. Familiarity with Java, Python, or Scala programming languages is desirable. Knowledge of Cloud platforms (Azure preferred) is a plus. In-depth understanding of Retail domain data and business processes is advantageous. Excellent analytical, organizational, and communication skills. Experience with Agile project management and teamwork. About Blackstraw Technologies Pvt Ltd Founded in 2015 and fully operational since 2018, Blackstraw Technologies is a global software products and services company specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Our AI platform accelerates data labeling, model training, and deployment across cloud and on-premise environments. Our 250+ member team boasts over 900 years of combined experience, focusing on areas such as computer vision, natural language processing, and deep learning annotation tools. We enable enterprises worldwide to rapidly adopt AI in a cost-effective, plug-and-play manner. Headquartered in Florida, USA, Blackstraw has operations across Canada, the USA, and India. Qualification : Bachelors degree in Computer Science, Information Technology, or related field. Masters degree is a plus.

Job Title: Python Developer Company: Blackstraw.ai Location: Chennai (Work from Office) Job Type: Full-time Experience: 3 to 7 years Job Summary Blackstraw.ai is looking for a skilled and motivated Python Developer to join our growing engineering team. In this role, you will be responsible for server-side logic development, system integration, and ensuring high performance and responsiveness to requests from the front-end. A strong command of Python and its frameworks, along with familiarity with front-end technologies, will be essential. You ll work closely with front-end developers, data scientists, and DevOps to build and scale enterprise-grade AI and web-based applications. Key Responsibilities Develop and maintain robust, scalable backend systems using Python and relevant web frameworks (e.g., Django, Flask). Integrate multiple data sources and databases into unified systems. Implement data storage solutions and create efficient database schemas. Write reusable, testable, and efficient code while following best coding practices and quality standards. Collaborate with front-end developers to integrate user-facing elements using server-side logic. Ensure the security, accessibility, and compliance of applications. Manage authentication and authorization across multiple systems and environments. Optimize application performance for different delivery platforms (desktop, mobile, etc.). Work with version control tools like Git and follow Agile/Scrum methodologies. Promote knowledge sharing within the team and contribute to documentation. Debug, profile, and unit-test code to ensure reliability and maintainability. Required Skills 3 7 years of hands-on Python development experience. Proficiency with one or more Python web frameworks (Django, Flask, etc.). Experience with ORM libraries (e.g., SQLAlchemy, Django ORM). Strong understanding of RESTful APIs, server-side templating (e.g., Jinja2), and multi-threading/multi-processing. Familiarity with front-end technologies such as JavaScript, HTML5, and CSS3. Understanding of user authentication/authorization protocols (OAuth, JWT). Ability to work with Git, Mercurial, or SVN version control systems. Knowledge of scalable application design and event-driven programming in Python. Excellent problem-solving, organizational, and communication skills. Preferred Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in building web, mobile, or ML-based applications. Experience with: JavaScript (ES6), React, Node.js MongoDB, Elasticsearch Docker, Kubernetes, Azure Microservices architecture Redis, Kafka, SQS, or similar tools Exposure to Big Data technologies (e.g., Hadoop) is a plus. Strong understanding of scalable software systems and system design principles. About Blackstraw.ai Founded in 2015 and operational since 2018, Blackstraw Technologies Pvt Ltd is a global leader in AI and ML solutions. We specialize in simplifying AI adoption for enterprises through a proprietary platform that accelerates data labeling, model training, and deployment. With offices across the USA, Canada, and India, and a 250+ strong team with over 900 years of collective experience, we deliver cutting-edge solutions in Computer Vision, Natural Language Processing, and AI Data Annotation. Our mission is to make AI adoption faster, easier, and more cost-effective for enterprises around the world. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field.

Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.

Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.

Operations IT Data Technologist About Dow At Dow, we put people first and are committed to integrity, respect, and safety for our employees, customers, and the planet. We are a diverse community of relentless problem-solvers who thrive on collaboration, innovation, and the pursuit of a sustainable future. By leveraging science and technology, we help transform industries and shape the world we live in. If you're looking for a meaningful and challenging role, you're in the right place. About the Role As an Operations IT Data Technologist, you will play a key role in data management and system optimization within manufacturing facilities. You will lead and support projects, manage SAP Master Data Configuration, and ensure alignment across global operations. This role requires a strong understanding of maintenance and operations, along with expertise in SAP, data analytics, and IT systems. Responsibilities Manage and optimize master data, including the global Maintenance, Repair, and Operating (MRO) supplies catalog and SAP configurations. Ensure data alignment across global manufacturing sites. Lead projects involving data transfer (e.g., moving data to a tenant in case of divestiture). Analyze and improve data processes, utilizing methodologies such as data mining, statistics, visualization, optimization, and simulation. Facilitate collaboration between site maintenance, production leaders, and business end users to drive continuous improvement. Provide expertise in Operations ITOT, ensuring system effectiveness, training, troubleshooting, and targeted improvements. Align global priorities within a defined business process area to maximize value. Qualifications Bachelor s degree in Engineering, Manufacturing, or a related field. 10+ years of experience in maintenance, operations, or IT-related roles in a manufacturing environment. Strong leadership and facilitation skills to drive improvement initiatives. Skills & Technical Expertise SAP BO Data Services (BODS) SAP HANA / LSMW SAP Information Steward Mass data loads in SAP Tableau for data visualization Fluency in English and experience working in a global environment Additional Information Relocation assistance is not available for this position. Flexibility to work across international time zones may be required. Total Rewards & Benefits Competitive Salary & Bonus Equitable and market-competitive pay with performance-based incentives. Career Growth Extensive learning, mentoring, and development opportunities. Retirement & Financial Planning Savings plans, employee stock purchase programs, and financial education resources. Health & Wellbeing Robust medical, life insurance, and mental health support. Flexible Work Culture Role-based flexibility for work-life balance. Parental Leave & Family Support Paid leave for new parents and caregivers. Time Off & Volunteer Programs Paid vacation, volunteering opportunities, and Employee Resource Groups (ERGs). On-Site Fitness & Discounts Gym memberships, shopping discounts, and travel insurance (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science. With 1,000+ employees, our manufacturing sites, innovation centers, and commercial offices drive advancements in packaging, infrastructure, automotive, and consumer care. We are Great Place to Work Certified and actively support Corporate Social Responsibility (CSR) initiatives that empower women, children, and differently-abled individuals through technology and employee volunteerism. Join Our Team & Make an Impact! At Dow, diversity is our strength, and we are committed to equal opportunities for all. If you need any accommodations during the application or interview process, please let us know. Apply now and be part of a global team shaping the future through science and innovation!

Experience 12-15 years of experience in implementing security solutions, with a focus on B2B Azure implementation, Azure Security for authentication, Multi-Factor Authentication (MFA) implementation, and Azure AD fundamentals. Qualification B.E/B.Tech in Computers or any relevant field. Pre-Requisites Experience in implementing security solutions like B2B Azure implementation, Azure Security for authentication, Multi-Factor Authentication (MFA) implementation, and fundamentals of Azure AD. Broad understanding of technology and business operations, providing holistic solutions to business problems or requirements. The ideal candidate should have completed at least one end-to-end implementation project and one integration project. Job Description Implementation of Solutions: Lead and participate in the implementation of Microsoft Dynamics 365 Business Central solutions for clients, including system configuration, customization, data migration, and integration with third-party applications. Client Business Requirements: Analyze client business requirements and translate them into technical specifications and solution designs. Customization and Development: Develop and implement customizations using AL language, extensions, and integrations with other Microsoft and third-party products. Provide Technical Guidance: Provide technical guidance and support to project teams and client stakeholders throughout the project lifecycle. Workshops and Training: Conduct technical workshops, training sessions, and knowledge transfer activities for clients and internal teams. Cross-functional Collaboration: Collaborate with cross-functional teams, including functional consultants, developers, and project managers, to deliver high-quality solutions on time and within budget. Stay Updated: Stay updated on the latest developments and best practices in Microsoft Dynamics 365 Business Central and related technologies. What Makes You a Great Fit Experience: Minimum 5 years of experience working with Microsoft Dynamics 365 Business Central (formerly Dynamics NAV/Navision). Technical Skills: Strong technical skills in AL language, Visual Studio Code, and Dynamics 365 Business Central development tools. Customization & Configuration: Experience with customization, configuration, and integration of Business Central modules, including Finance, Sales, Purchasing, Inventory, and Manufacturing. Bonus Skills: Knowledge of Microsoft Power Platform (Power Apps, Power Automate, Power BI) and Azure services is a plus. Certifications: Microsoft certifications in Dynamics 365 Business Central or related technologies are preferred. Communication Skills: Excellent analytical, problem-solving, and communication skills. Time Management: Ability to work effectively in a fast-paced, dynamic environment and manage multiple projects simultaneously. Qualification : B.E/B.Tech in Computers or any relevant field.

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

We are seeking a Senior Data Scientist with experience in various data science techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology. This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models. Responsibilities Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data preprocessing, training, optimization, and evaluation of models Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models Use appropriate metrics and statistical analysis to measure and interpret results Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders Requirements Bachelor s or master s degree in computer science, Data Science, Statistics, or related field 5 to 8 years of solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP Proficiency in Python Experience Deep Learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Familiarity with cloud services (AWS, Google Cloud, Azure) Excellent written and verbal communication skills Nice to have Proficiency in Docker and Kubernetes We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or masters degree in computer science, Data Science, Statistics, or related field

We are seeking a highly experienced Senior Big Data Software Engineer to join our dynamic team and tackle challenging projects that will enhance your skills and career. As a Senior Engineer, your contributions will be critical in designing and implementing Big Data solutions across a variety of projects. The ideal candidate will possess deep experience in Big Data and associated technologies, with a strong emphasis on Apache Spark, Python, Azure and AWS. Technologies Hadoop Hive Responsibilities Develop and execute end-to-end Big Data solutions to meet complex business needs Work collaboratively with interdisciplinary teams to comprehend project needs and deliver superior software solutions Apply your expertise in Apache Spark, Python, Azure and AWS to create scalable and efficient data processing systems Maintain and enhance the performance, security, and scalability of Big Data applications Keep abreast of industry trends and technological advancements to foster continuous improvement in our development practices Requirements 5-8 years of direct experience in Big Data and related technologies Advanced knowledge and hands-on experience with Apache Spark High-level proficiency with Hadoop and Hive Proficiency in Python Prior experience with AWS and Azure native Cloud data services We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of direct experience in Big Data and related technologies

About Arcadia: Arcadia is a leading technology company focused on solving the climate crisis by empowering energy innovators and consumers. We re revolutionizing the energy industry with our software and APIs, creating access to the data and clean energy necessary for building a decarbonized energy grid. Since our founding in 2014, Arcadia has been working to break the fossil fuel monopoly and offer high-quality clean energy options to consumers and small businesses. Today, we ve launched Arcadia Platform, a SaaS product that is transforming the energy industry into a data-driven network. With a $1.5B valuation and $500M raised, Arcadia is scaling its operations to solve one of the world s most significant challenges. We re building a diverse team of individuals who are passionate about making a difference. Join us in shaping a clean energy future! What We re Looking For: We are seeking a thoughtful, empathetic, and driven Engineering Manager to lead and grow our team of four engineers responsible for building data products for Arcadia s customers and internal stakeholders. You will guide the team to solve complex data engineering and analytics problems, while ensuring their professional growth and development. You will also work closely with the Director of Data and Analytics Engineering to develop roadmaps and strategies that align with the business needs. The role is based in Chennai, India, with a hybrid remote-first approach, and offers the opportunity to shape a world-class data ecosystem in a fast-paced, high-growth environment. What You'll Do: Empower and guide engineers: Lead a team of engineers in solving complex data problems within the energy sector. Work with cross-functional teams: Collaborate with Product, Design, and Marketing teams to define roadmaps and strategies for our Platform business. Drive technical excellence: Contribute to technical discussions and ensure that the team is building scalable data pipelines and assets. Mentor and develop team members: Provide ongoing mentorship, aligning team members skills, interests, and career aspirations with business needs. Facilitate regular feedback and performance discussions. Lead by example: Foster a culture of empathy and humanity while delivering results in a fast-paced environment. Align stakeholder expectations: Represent engineering concerns to ensure alignment with business priorities and goals. What Will Help You Succeed: Must-Haves: 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team. Deep understanding of modern data and analytics engineering practices, with the ability to contribute hands-on when necessary. Experience with Python (in a data orchestration context) and SQL (in a data modeling context). A proven track record of mentoring and growing direct reports through feedback, goal-setting, and career development. Ability to navigate the relationship between Engineering, Product, and Design teams. Nice-to-Haves: Experience with tools and technologies in Arcadia s data stack: Snowflake dbt (or similar Analytics Engineering tools) Prefect (Airflow experience is a plus) AWS, Docker, Kubernetes (basic familiarity) GitHub and GitHub Actions Experience with scalability challenges at fast-growing startups. Familiarity with automating internal processes to improve operational efficiency. Experience with roadmap development and execution. Background in the energy sector or related fields. Benefits: Competitive compensation based on market standards. Hybrid remote-first model, promoting flexibility in work arrangements. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with rewards and recognition. Quarterly team engagement activities to enhance collaboration and team spirit. Learning & Development programs to support continuous growth and skill-building. A supportive engineering culture that emphasizes diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? At Arcadia, we celebrate diversity and believe that unique perspectives are essential to our collective success. We are committed to equal employment opportunities and welcome applicants from all qualified candidates eligible to work in India, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, or protected veteran status. We are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, or employment. Please contact us if you require accommodation. How to Apply: If you are excited about building the next-generation data ecosystem and contributing to Arcadia s mission of a clean energy future, we encourage you to apply. We look forward to learning what you will uniquely bring to our team! Qualification : 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team.

Integration Engineer Location: Chennai Experience Required: 4 5 Years Domain: US Healthcare / RCM Role Overview: Architecting Healthcare Connectivity We are seeking a Integration Engineer to build and maintain the bridges between healthcare platforms, clearinghouses, and our in-house data engine. You will be responsible for ensuring seamless data flow across EMRs, PM systems, and clearinghouses, leveraging a mix of traditional EDI standards and modern API-driven automation to drive RCM efficiency. Technical Expertise & Required Skills Healthcare Interoperability & EDI: X12 EDI Transactions: Hands-on implementation of 837 (Claims), 835 (Remittance), 270/271 (Eligibility), and 276/277 (Claim Status). HL7 & Standards: Deep understanding of HL7 interfaces for real-time and batch healthcare data exchange. Clearinghouse Integration: Proven experience connecting healthcare systems with major clearinghouses and data platforms. Automation & Modern Development: Web Scraping: Proficiency in Node.js and Puppeteer.js for headless browser automation and complex data extraction. API & Web Services: Strong experience with REST and SOAP API integrations. Cloud Environment: Familiarity with Google Cloud Platform (GCP), specifically App Engine, Cloud Functions, and Pub/Sub. Data Architecture: Solid understanding of NoSQL databases and data transformation pipelines. Key Responsibilities Design & Development: Architect seamless integrations between internal data engines and third-party healthcare applications. Compliance Management: Ensure all data exchanges strictly adhere to HIPAA standards and healthcare security protocols. Cross-functional Collaboration: Partner with Data Science and Automation teams to deploy and monitor integrations in GCP environments. System Optimization: Proactively troubleshoot and enhance integration performance for maximum scalability and reliability. Legacy Support: (Preferred) Work with PHP (Laravel) applications where necessary to maintain existing integration logic. What Makes You a Great Fit 4 5 years of specialized experience in the US Healthcare RCM domain. The ability to handle "non-standard" data extraction through automation workflows when traditional APIs are unavailable. Excellent debugging skills for complex, multi-party data pipelines. A collaborative mindset focused on creating high-impact, innovative healthcare technology solutions.

DevOps Engineer Location: Chennai Work Type: Full Time About Tazapay Tazapay is a global cross-border payments service provider, enabling businesses to collect payments locally in 70+ markets through local payment methods, virtual accounts, and cards. With Tazapay, merchants can expand internationally without setting up local entities, supported by our compliance framework that handles regional regulations and requirements. This approach delivers lower transaction costs, transparent FX, and higher authorization rates, empowering businesses to scale globally with ease. Tazapay is licensed across multiple jurisdictions and backed by leading global investors. This is a unique opportunity to join an amazing team right before our next stage of rapid expansion. At Tazapay, you ll: Build meaningful systems from the ground up See your work directly impact thousands of global users Collaborate with world-class teams across Engineering, Product, Sales, Marketing, Finance, and more Be part of a culture that values openness, innovation, and shared memories Ready for the ride? Come discover what you can create with us. About the Role We are looking for a DevOps Engineer who is passionate about automation, simplicity, and building scalable infrastructure. You ll help design, implement, and maintain core cloud platforms and CI/CD pipelines that power Tazapay s global payment products. You will work across cloud infrastructure, observability, security, deployment automation, and microservices helping to enable fast, reliable, and secure delivery of new features. Requirements Must Have Education & Mindset Degree in Computer Science, Software Engineering, IT, or equivalent experience Strong curiosity about how things work Passion for learning new technologies and improving systems Obsession with automation, simplicity, and elegant engineering Ability to jump into new situations with minimal structure and improve processes Technical Skills Extensive hands-on experience with AWS services Strong familiarity with at least one programming/scripting language (Python, Go, or Shell) Experience with Load Balancing and API Gateway Basic understanding of REST or gRPC & Protocol Buffers Understanding of Kubernetes and Cloud Native technologies Experience with CI/CD tools such as GitHub Actions or Jenkins Infrastructure as Code experience: AWS CDK, CloudFormation, Terraform Familiarity with observability stacks: OpenTelemetry, Prometheus, Grafana Experience working with containerization tools like Docker Experience managing RDBMS/NoSQL systems (Postgres, MongoDB) Background in microservice architecture Experience with configuration management tools Strong understanding of OS fundamentals, especially Linux Nice to Have Prior startup experience Familiarity with AWS data engineering services (DMS, Glue, Athena, Redshift, QuickSight) Experience working with geo-distributed teams AWS Cloud Certifications Basic security knowledge (OWASP, static code analysis) Experience with fintech security and compliance standards (PCI-DSS, SOC 2) Qualification : Degree in Computer Science, Software Engineering, IT, or equivalent experience

Job Title: Engineering Manager Location: Chennai Business Unit: Corporate Function Function: Information Technology Experience: 7-10 years Education: Graduate: B.E. (Computer Science, Information Technology) from Tier I/II Institutes Post-Graduate: Any Job Purpose: As an Engineering Manager, you will lead a team of engineers to develop scalable, secure, and reliable banking systems that power various banking services, including account opening, asset & liability management, wealth management, and payments. You will define engineering strategies, drive the technical roadmap, and manage priorities across cross-functional teams to deliver high-impact business solutions. Roles & Responsibilities: Technical Leadership & Architecture: Define the product and service evolution roadmap in collaboration with product owners & business stakeholders. Lead a team of engineers to build and maintain microservice-based applications. Develop and enforce coding standards, guidelines, and best practices. Ensure adherence to SOA architecture principles and web service standards (WSSE, XML, SOAP, WSDL, XSD, UDDI, REST). Oversee database design & management for relational (Oracle) and NoSQL (MongoDB) databases. Project & Agile Management: Drive Agile methodologies for efficient project execution and delivery. Ensure seamless production rollouts using blue-green & canary deployment strategies. Oversee CI/CD pipeline management, ensuring strict adherence to quality gates. Manage application support & incident resolution to maintain system uptime and reliability. Quality & Code Management: Perform code reviews to ensure scalability, security, and maintainability. Implement robust testing methodologies to maintain high-quality deliverables. Maintain enterprise integration standards with Java/Golang, Spring Boot, REST APIs, and XML/JSON data formats. Innovation & Continuous Improvement: Stay updated on modern JavaScript frameworks/libraries like Vue.js, React, or Angular. Drive process automation and engineering excellence to enhance development efficiency. Foster a culture of innovation, collaboration, and technical excellence within the team. Key Skills & Competencies: Strong project management skills, attention to detail, and excellent communication. Expertise in Java/Golang, Spring Boot, REST APIs, XML, JSON, XSLT. Experience with relational (Oracle) and NoSQL (MongoDB) databases. Understanding of front-end technologies (Vue.js, React, or Angular). Be part of a high-impact technology team in the banking sector. Work on cutting-edge digital banking solutions. Lead innovative projects with a focus on security, scalability, and automation. If you have the passion to build the best banking systems in the world, we d love to hear from you!

Job Title: Control Hardware Quality Engineer Experience: 4 to 6 Years Location: Chennai Company Overview: At Capgemini Engineering, a global leader in engineering services, we bring together a world-class team of engineers, scientists, and architects to assist the world s most innovative companies in unlocking their full potential. From autonomous vehicles to life-saving robots, our digital and software technology experts deliver groundbreaking R&D and engineering services across various industries. Join us for a dynamic career that s full of opportunities, where every day brings new challenges and ways to make an impact. Job Description: We are seeking a Control Hardware Quality Engineer who will be responsible for ensuring the integrity and functionality of hardware systems in line with industry standards and requirements. The ideal candidate will have experience interpreting electrical schematic diagrams and working with hardware components, such as MCCB, switchgear, circuit breakers, and cable harnesses. Key Responsibilities: Interpret and analyze electrical schematic diagrams, panels, cables, and components like MCCB, switchgear, and relays. Experience with UPS systems, backup solutions, batteries, DCN controls, CT modules, and network/electronic buses. Work with sensors (pressure, temperature, smoke), PLCs, and digital & analog components. Previous experience in commissioning and troubleshooting hardware systems is highly preferred. Apply knowledge of IEC, UL, and EN standards for hardware compliance. Experience with quality tools like DMAIC, DFSS is a plus. Investigate alarm triggers, identifying and diagnosing false messages. Collaborate with site technicians and design engineers to resolve failures reported from turbines in the field. Perform root cause analysis to identify issues and their impact on fleet performance. Align with stakeholders (module owners, service, construction, legal teams) to ensure effective communication and actions. Identify short-term and long-term solutions to mitigate failures. Lead the development and testing of improvement solutions. Prepare communication materials for customers and stakeholders regarding technical issues and solutions. Prioritize and address hardware failures, aiming for continuous improvements and reduced downtime. Preferred Qualifications: Field experience in the Wind Industry, particularly with Wind Turbine Generators (WTGs). Familiarity with DMAIC, Six Sigma, SCRUM, and gate models is highly advantageous. Basic knowledge of applying Q tools like DMAIC and DFSS for process improvement. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. As a member of Capgemini, you ll be part of a diverse and responsible team of 340,000 professionals across 50+ countries, driving tangible impact for enterprises and society. Capgemini offers end-to-end services, from strategy and design to engineering, powered by AI, cloud, and data solutions. With a strong 55+ year legacy and 22.5 billion in global revenues in 2023, Capgemini is a trusted partner for leading businesses worldwide.

Overview: We are looking for a highly skilled Full Stack Developer with expertise in authentication and authorization concepts, API development, and web development to join our dynamic team. This role requires a solid understanding of both backend and frontend technologies, as well as the ability to develop, maintain, and improve APIs, services, and web applications. As a key member of our engineering team, you will be instrumental in delivering robust and reliable solutions that enhance our products and services. Key Responsibilities: Implement and manage authentication and authorization concepts including PAT, API tokens, SAML, DAC, MAC, RBAC, and ABAC. Utilize logging, tracing, and monitoring tools to ensure system reliability, performance, and scalability. Develop and maintain public HTTP APIs, managing rate limiting, pagination, and HTTP error handling. Build and maintain backend services and APIs using Golang. Develop and maintain frontend applications using JavaScript and TypeScript. Triage bugs and feature requests, maintaining clear communication with customers and stakeholders. Analyze system performance trends, perform regular testing, and continuously train the DevRev bot to optimize its functionality. Educate and empower DevRev users, offering technical expertise and support. Build and maintain strong customer relationships, acting as a customer advocate. Collaborate with product and engineering teams to understand and implement customer requirements. Write customizations using ReactJS (MERN), HTML/CSS, JavaScript/TypeScript, Python, SQL, and Golang. Work closely with cross-functional teams, including Sales, Customer Success, Product, Engineering, and Bots Engineering. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field, or equivalent professional experience. Strong understanding and experience with authentication and authorization concepts such as PAT, API tokens, SAML, DAC, MAC, RBAC, and ABAC. Proficient with logging, tracing, and monitoring tools to ensure the reliability and performance of systems. Experience developing and maintaining public HTTP APIs. Strong problem-solving abilities, with a focus on technical, product, and business challenges. Excellent communication skills, both verbal and written, with the ability to engage in technical discussions with both technical and non-technical audiences. Collaborative and team-oriented with the ability to work effectively with cross-functional teams. 4-7 years of relevant work experience. Preferred Skills: In-depth experience with authentication and authorization systems. Familiarity with logging, tracing, and monitoring tools. Strong understanding of public HTTP API development and management. Ability to work flexible shifts, including morning and afternoon shifts. Strong customer focus with the ability to build and maintain relationships. Culture: At DevRev, we are driven by our core values of hunger, humility, honesty, and acting with heart. Our vision is to help build the world s most customer-centric companies, leveraging design, data engineering, and machine intelligence to empower engineers to connect deeply with their customers. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Position: Facility Office Manager Overview: We are seeking a highly organized and proactive Facility Office Manager for our Chennai office to oversee and ensure the smooth day-to-day operations of our workplace. The ideal candidate will be a dynamic professional with strong communication skills, hands-on experience in managing office facilities, vendors, assets, and operational logistics. You will play a key role in creating an efficient and comfortable work environment for our team. Key Responsibilities: Manage and maintain relationships with vendors for various services, including security, housekeeping, pest control, pantry services, annual maintenance contracts (AMC), food services, and other facility-related functions. Coordinate employee travel arrangements, transport services, and ensure smooth logistical operations. Optimize office layouts and seating arrangements to ensure effective space utilization and a productive work environment. Collaborate with IT teams to manage office IT assets and infrastructure, ensuring they meet operational needs. Oversee regular maintenance and repair of office equipment, ensuring that the workplace remains fully operational at all times. Maintain inventory levels for office supplies, pantry essentials, and equipment, ensuring prompt replenishment as needed. Track, audit, and manage office assets on-site, ensuring accuracy and compliance. Prepare and maintain detailed MIS reports on facility operations, expenses, and vendor performance, ensuring clear communication and data transparency. Communicate effectively with stakeholders, vendors, and global staff in English and the local language, ensuring smooth collaboration and operations. Desired Skills & Competencies: 8-10 years of experience in office management or facility operations. Excellent communication skills in both English and the local language. Strong vendor negotiation skills and proven experience in managing vendor relationships. Solid understanding of IT asset management, inventory tracking, and office equipment maintenance. Ability to efficiently manage multiple tasks, prioritize workloads, and resolve issues in a timely manner. Proficiency in preparing and analyzing MIS reports related to facility operations and expenses. Excellent organizational skills, with meticulous attention to detail and a proactive, result-oriented approach. Ability to work independently in a fast-paced environment, demonstrating high levels of responsibility and initiative. Culture: At DevRev, our culture is built on the values of hunger, humility, honesty, and acting with heart. We are on a mission to help build the world s most customer-centric companies, leveraging design, data engineering, and machine intelligence to empower engineers to deeply connect with and embrace their customers.