5534 Data Science Jobs - Page 40

Are you seeking an exciting opportunity to become part of a dynamic and expanding team in a fast-paced and challenging environment This unique position offers you the chance to collaborate with the Business team to deliver a comprehensive perspective. As a Model Risk Program Analyst within the Model Risk Governance and Review Group (MRGR), your responsibilities include developing model risk policy and control procedures, conducting model validation activities, offering guidance on appropriate model usage in the business context, evaluating ongoing model performance testing, and ensuring that model users understand the strengths and limitations of the models. This role also presents attractive career paths for individuals involved in model development and validation, allowing them to work closely with Model Developers, Model Users, Risk and Finance professionals. Your key responsibilities will involve engaging in new model validation activities for all Data Science models in the coverage area. This includes evaluating the model's conceptual soundness, assumptions, reliability of inputs, testing completeness, numerical robustness, and performance metrics. You will also be responsible for conducting independent testing and additional model review activities, liaising with various stakeholders to provide oversight and guidance on model usage, controls, and performance assessment. To excel in this role, you should possess strong quantitative and analytical skills, preferably with a degree in a quantitative discipline such as Computer Science, Statistics, Data Science, Math, Economics, or Math Finance. A Master's or PhD degree is desirable. Additionally, you should have a solid understanding of Machine Learning and Data Science theory, techniques, and tools, including Python programming proficiency and experience with machine learning libraries such as Numpy, Scipy, Scikit-learn, TensorFlow, and PyTorch. Prior experience in Data Science, Quantitative Model Development, Model Validation, or Technology focused on Data Science, along with excellent writing and communication skills, will be advantageous. A risk and control mindset, with the ability to ask incisive questions, assess materiality, and escalate issues, are also essential for this role. By staying updated on the latest developments in your coverage area, you will contribute to maintaining the model risk control apparatus of the bank and serve as a key point of contact within the organization. Join our team and be a part of shaping the future of model-related risk management decisions.,

You are an experienced and visionary Senior AI Product Manager with a focus on Generative AI. Your main responsibility will be to lead the development and growth of AI-powered products by leveraging advanced Generative AI technologies such as deep learning models, large language models (LLMs), and other AI-driven systems. You will work closely with cross-functional teams including data scientists, engineers, and business stakeholders to bring cutting-edge AI products from concept to market. Your key responsibilities include defining the strategic vision for generative AI products, overseeing the entire product lifecycle, collaborating with cross-functional teams to integrate generative AI capabilities into scalable products, conducting market research on generative AI applications, leading user research, using data analytics for decision-making, ensuring ethical AI development, providing mentorship to junior product managers, and collaborating with internal and external stakeholders. To be successful in this role, you must have at least 8 years of experience in product management, with a minimum of 3 years focused on AI or Generative AI products. You should have a deep understanding of generative AI technologies such as GPT, GANs, or other deep learning-based models, as well as experience with tools like OpenAI and Hugging Face. Strong leadership, analytical, customer-centric, and communication skills are essential. A technical background in Computer Science, AI, Data Science, or related field is required, while an advanced degree (MBA or relevant technical field) is a plus. Preferred qualifications include experience in building AI applications that create content, working with advanced AI/ML tools like TensorFlow and PyTorch, familiarity with AI ethics and data privacy regulations, ability to drive personalization features using generative AI, and experience in scaling generative AI products from prototype to commercial success.,

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. Assembling a strong Quant Technology team to build the next generation in-house analytics and trader support tools, this team will sit under the Fixed Income & Commodities Technology (FICT) group. The team will be responsible for developing and maintaining the in-house pricing libraries to support trading in Fixed Income, Commodities, Credit, and FX business at Millennium. FICT provides a dynamic and fast-paced environment with excellent growth opportunities. You will be tasked with working closely with Quant Researchers, Portfolio Managers & Technology teams to build commodities fundamental analytics and modelling platform from scratch. Your responsibilities will include developing scalable libraries and APIs for commodities fundamental modelling across multiple assets and geographies. You will also be involved in building, helping maintain, and operating end-to-end modelling pipelines that involve diverse and large sets of statistical and machine learning models. Additionally, you will contribute to building scalable tools to aid data analysis and visualization, and collaborate with the broader team to develop robust delivery and operating models that enable rapid development and scalable deployment of new capabilities. To excel in this role, you must possess a strong Python fundamentals knowledge (for data science) and SQL/Database experience. You should have solid experience with all stages of the data modelling pipeline, including data access, transformation, model training and inference pipeline, and data analysis tools. The ability to work independently with hands-on experience on the complete software development lifecycle and relevant development tools is essential. Previous experience as a Quant Developer/Data Scientist in the financial industry is required, with commodities and hands-on statistical/data modelling experience being preferred. Familiarity with tools and libraries like Airflow, Flask, Dash, etc. is also preferred.,

The Software Engineer role at Firstsource requires developing capabilities to build software systems using various software and cloud technologies. You should possess strong analytical and problem-solving skills, along with expertise in software programming, software database management, and creating visualization and interaction layers on Web/Windows platforms. Integration with underlying technology frameworks and computer operating systems like Windows/Unix is essential. Exposure to AI/ML and Data science will be advantageous. Your responsibilities will include developing and building software applications/systems based on design documents across Front-end (web/windows), Back-end (.net/java/python), and Database systems. You will need to follow best practices for design, coding, automated testing, and deployment to production, working effectively within an agile-at-scale framework. Communication of status, updates, and plans to project leadership is crucial, along with the willingness to learn, acquire, and get certified on new technologies as required by projects. Any experience in AI, ML, and Data science will be an added advantage. Key requirements for the role include proficiency in at least one of Java/.Net/Python/NodeJS, good knowledge of JavaScript, at least one of ASP.Net/Angular/ReactJS, RDBMS (Oracle/SQL Server/Postgre) and SQL, familiarity with database management tools like Liquibase/Hibernate, understanding of DevOps (e.g., Azure DevOps) and cloud PaaS, knowledge of coding standards, debugging ability, software development lifecycle, and processes. Experience with cloud-based deployment (AWS/Azure), model performance monitoring, and troubleshooting issues is essential. Strong written and oral communication skills, the ability to work effectively in a cross-functional team, and familiarity with Docker and Git are required. Additionally, exposure to AI/ML frameworks like Pythin, Keras, Pytorch, and libraries such as scikit-learn, as well as practical application of statistical analysis and mathematical modeling concepts, will be beneficial for this role. Please note that Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Beware of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

Data Dynamics is a global leader in enterprise data management, specializing in Digital Trust and Data Democracy. With a client base of over 300 organizations, including 25% of the Fortune 20, Data Dynamics is dedicated to establishing a transparent, unified, and empowered data ecosystem. The company's AI-powered self-service data management software is reshaping traditional data management practices by granting data creators of all proficiency levels ownership and control over their data. As a Regional Solutions Engineer at Data Dynamics, you will assume a pivotal role in technical pre-sales and customer management. Throughout the pre-sales phase, your responsibilities will involve engaging with customers to elicit business and technical requirements, coordinating technical information, delivering demonstrations, and showcasing product positioning capabilities. You will need to conduct thorough research into the specific needs of customers and assess the feasibility of their requirements. Your proficiency will be crucial in evaluating customers" business demands and translating them into technical and licensing requisites. In instances involving Proof of Concept (POC) or a sale, you will collaborate with the sales representative for review. For existing customers where upselling or cross-selling is the primary objective, you will closely collaborate with the customer success manager allocated to the account and the global support team as necessary. A seamless handover to the implementation team before the customer's go-live phase is essential to ensure a smooth customer experience consistently. A core expectation is your capability to independently set up and conduct demonstrations and POCs from inception. The POC process necessitates defining and agreeing upon success criteria with the customer and sales representative, alongside monitoring the progress towards meeting the customer's objectives. Post POC, you are expected to secure customer approval through a presentation to Data Dynamics Sales and the customers" decision-makers. Furthermore, following any sale globally, your presence may be required to support or lead the installation, contingent on time zones and available resources. Given your regular interactions with both new and existing customers, understanding their business visions, goals, technical capacities, and constraints, you are anticipated to advocate for customers" needs. Providing feedback on business processes, technical matters, or enhancements to the relevant teams within Data Dynamics is crucial. Driving continuous enhancements across all aspects of our operations is vital to achieving our ultimate goal of ensuring customer success and satisfaction. Your responsibilities extend to scriptwriting when necessary, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or internal meetings may be part of the role. At Data Dynamics, we are committed to delivering an exceptional customer experience and fostering a collaborative, challenging, fun, and innovative work environment. If you are a customer-centric and passionate individual with a strong commitment to building world-class, scalable, data-driven software, we would like to connect with you. Qualifications: - Proficiency in Windows and Linux, Docker, and Kubernetes - Knowledge of SQL, Postgresql, Elasticsearch, File/NAS, and Object Storage - Familiarity with Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword Search, Regex, Data Governance, GDPR, HIPAA, CCPA - Experience with Microservices-based applications, ITILv4, Project Management, and Data Migration - Prior experience in Presales and Integration - Strong problem-solving, presentation, and communication skills - Ability to collaborate effectively in a team setting - Background in data management or related field is advantageous - Bachelor's degree in Computer Science, Engineering, or a related field,

As the VP of Engineering, you will be leading a disciplined, scrappy, and effective Engineering team. In this role, you will report directly to the Founders, playing a crucial part in shaping the evolution of the product and the overall growth of the company. Your background should include managing and leading a team of 50+ engineers, with deep technical expertise in areas such as Mobile, Cloud, or Data Science. If you are enthusiastic about fostering a great engineering culture, nurturing the growth of engineers, and constructing world-class engineering teams, we are excited to hear from you. Your responsibilities will include: - Building, mentoring, and guiding a high-performing engineering team, while promoting a culture of innovation, collaboration, and continuous improvement. - Developing and overseeing technically complex products throughout the entire product life cycle. - Serving as a technical thought leader, representing the company at industry conferences, events, and forums. - Participating in high-level technical decisions alongside the CTO, and engaging in design and product discussions to represent developers. - Managing engineering personnel, budgets, and processes, by eliminating obstacles and enhancing execution and quality continuously. This role is challenging yet incredibly rewarding. If you are ready for the next adventure, please reach out to us at sanish@careerxperts.com.,

The role within Niro Money, Data and Analytics team involves translating data into actionable insights to enhance marketing ROI, business growth, and customer experience for various financial products like personal loans, home loans, credit cards, and insurance. You will be required to have a strong background in data analytics and deliver strategic recommendations to key stakeholders and business heads. You will lead, mentor, and develop a high performing team of data analysts and data scientists focused on building decision science models and segmentation to predict customer behaviors. Additionally, you will develop data-driven strategies to optimize marketing ROI for different financial products such as personal loans and credit cards. Collaborating with the Partnership & Marketing team, you will conduct marketing experiments to improve funnel conversion and measure the effectiveness of marketing campaigns and experiments, recommending necessary changes to enhance customer journey-related product changes. In this role, you will foster a culture of collaboration, innovation, and data-driven decision-making across multiple teams within Niro. Managing multiple analytics projects simultaneously, you will prioritize them based on potential business impacts and ensure timely and accurate project completion. You will also be responsible for project planning and monitoring, promptly addressing challenges to keep projects on track. Additionally, you will partner with Data Engineering, Technology, and Product teams to develop and implement data capabilities for running marketing experiments and delivering actionable insights at scale. The ideal candidate for this role should possess a Master's degree in statistics, mathematics, data science, economics, or BTech in computer science or engineering. You should have at least 5 years of hands-on experience in decision science analytics and building data-driven strategies, preferably in the financial services industry. Additionally, you should have 2+ years of experience in managing and leading a team of data analysts and data scientists, as well as hands-on experience in statistical model development using Python packages like Scikit learn, XGBoost, Stats models, or decision tree tools. Proficiency in SQL and Python is essential, along with a proven track record of decision-making and problem-solving based on analytics. Experience with Snowflake, AWS Athena/S3, Redshift, and BI Tools like AWS Quicksight would be advantageous. You should have a strong analytical mindset, the ability to evaluate complex scenarios, and make data-driven decisions. Being creative and curious with a willingness to learn new tools and techniques is crucial. A data-oriented personality, along with excellent communication and interpersonal skills to collaborate effectively with diverse stakeholders, will be key to success in this role.,

As a Full Stack Assistant Professor at ImaginXP, a leading Ed-Tech organization specializing in future skills, you will play a crucial role in addressing the quality curriculum and skill gap in higher education. With a focus on well-trained faculty, industry-focused curricula, and a digital platform supported by 100 corporate coaches, you will contribute to the educational journey of over 15,000 learners enrolled in industry-oriented full-time degree programs such as Game Design, Animation, UX Design, Communication Design, Industrial Design, FinTech, AI & ML, and RPA. Your responsibilities will include classroom teaching and facilitating foundational subjects of Full-Stack Development, particularly in programs like B.Tech - Full-Stack Development and BCA - Full-Stack Development. You will be involved in curriculum content creation, coordinating workshops and masterclasses in Full-Stack Development, Python Programming, Data Science, IOT, and other relevant subjects. Additionally, you will mentor and prepare students for internships and placements, ensuring they are well-equipped for real-world challenges. You will adhere to Partnered University norms regarding examination, evaluation, and other academic administrative tasks. Your role will also involve mentoring students for live projects, assignments, providing personal guidance and counseling, and offering offline support for feedback and doubt resolution. As part of your responsibilities, you will maintain class records and academic data, assess student performance, evaluate final scores and credit submissions to the University, and liaise with the ImaginXP Academic Head and Dean of partnered universities. Your commitment to academic excellence and student success will be instrumental in shaping the future of higher education and preparing learners for the demands of the industry.,

As an Associate- Recruitment Reporting in the HR Department at our client, a leading logistics tech company in India, you will play a crucial role in optimizing recruitment processes and enhancing decision-making through data analysis and management information systems. With 1-3 years of experience and a Bachelor's degree in Management Information Systems, Data Science, Human Resources, or a related field, you will be based in Bangalore. In this role, your primary responsibility will be to analyze recruitment data to identify trends, patterns, and opportunities for improvement. You will develop and maintain dashboards and reports tracking key recruitment metrics and provide regular updates and insights to the recruitment team and management. Additionally, you will oversee the management and integrity of recruitment databases and applicant tracking systems, ensuring data accuracy, consistency, and security. Collaboration is key in this role, as you will work closely with recruiters and supporting teams to streamline processes and enhance efficiency using data-driven approaches. By identifying gaps in current processes and recommending solutions, you will contribute to improving recruitment outcomes. Moreover, you will liaise with other departments to ensure a smooth process and maintain positive relationships with vendors and internal stakeholders to facilitate smooth invoice processing. To excel in this position, you should have proven experience in data analysis and reporting, preferably within a recruitment or HR context. Proficiency in data analysis tools such as Excel, Power BI, and Tableau, as well as applicant tracking systems, is essential. Strong analytical skills, attention to detail, organizational skills, effective communication, and interpersonal skills are also required to succeed in this role. Join Hireginie, a prominent talent search company dedicated to connecting top talent with leading organizations. Our commitment to excellence and customized recruitment solutions across industries ensures a seamless and transparent hiring process. Empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.,

-- NO ONLINE INTERVIEW -- We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team.

We are looking for a highly skilled and experienced Sr. Associate to join our team in Business Analytics & Quant Trading, with 2-5 years of experience. Roles and Responsibility Develop and implement quantitative models to analyze complex business problems and provide actionable insights. Collaborate with cross-functional teams to design and execute trading strategies using advanced analytics techniques. Conduct market research and analysis to identify trends and opportunities for growth. Design and implement data visualizations to communicate complex data insights to stakeholders. Work closely with the development team to integrate new features and functionalities into existing systems. Stay up-to-date with industry trends and developments in quantitative learning and trading. Job Requirements Strong understanding of IT Services & Consulting industry operations and challenges. Experience with quantitative modeling, machine learning, and data visualization tools. Excellent analytical and problem-solving skills, with the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Ability to develop and maintain large-scale data systems and architectures. Strong knowledge of business analytics principles and practices, with the ability to apply them in real-world scenarios.

Strong proficiency in Python.Experience with Large Language Models.Familiarity with machine learning and artificial intelligence.Experience with Google cloud platform. Required Candidate profile Desired Skills:Python, Artificial Intelligence, Machine learning, GCP Position Name: Data Scientist Client Name:Renault Work Location: Chennai Mode of Work : Hybrid

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.