6 Data Solutions Jobs nearby Kottayam

Chemical Engineer Job Description We are looking for a creative, cooperative chemical engineer with a wealth of technical and industry knowledge and a talent for process optimization. The chemical engineer will work in the office and on location to implement, analyze, and improve processes, equipment, and plants. You will also work with other engineers and team members from diverse backgrounds to understand project goals, design and propose solutions, and assist in implementing, troubleshooting, and reviewing plans as projects progress. To be a successful chemical engineer, you should be knowledgeable, communicative, observant, organized, and committed to reaching project goals. You should also possess strong interpersonal, time management, and presentation skills. Chemical Engineer Responsibilities: Using scientific, mathematical, and engineering principles to solve problems and improve processes. Designing, proposing, implementing, reviewing, and correcting plans to ensure company goals are achieved. Observing production processes, conducting research, and finding ways to increase efficiency and quality. Using computers to compile and analyze data. Establishing safety and waste management procedures. Traveling to work sites and locations to learn about project needs and design, implement, troubleshoot, test, and improve processes, equipment, and facilities. Assisting with establishing budgets and timelines. Chemical Engineer Requirements: Bachelors degree in chemical engineering. Experience or more education may be strongly desired. Industry-specific knowledge may be required. Some positions may require or prefer additional certificates or licenses. -Strong understanding of chemistry, mathematics, biology, and engineering principles. Ability to cooperate and communicate with others, especially those without a technical background. Computer literacy. Exceptional problem solving, verbal and written communication, presentation, and project management skills.  

Administrative Coordinator Job Description We are looking for an organized, analytical administrative coordinator, with exceptional communication and problem-solving skills to handle office duties and admin-related operations. In this role, you will field interdepartmental communications, perform office tasks, respond to communications, and oversee all administrative tasks for the company. To ensure success as an administrative coordinator, you should be committed to providing attentive support for internal and external parties and be skilled at various office tasks. Top-notch administrative coordinators are courteous, proactive, and well-organized professionals who bring creative solutions to administrative problems. Administrative Coordinator Responsibilities: Hiring, supervising, and evaluating staff members. Delegating tasks and ensuring that they are completed in accordance with existing policies and procedures. Greeting visitors and directing them to to the appropriate parties. Handling basic office duties, such as answering and routing phones, responding to emails, data entry, and reporting. Answering questions and finding information for employees, vendors, clients, and lenders. Supporting employees by facilitating interdepartmental communications and interactions between internal and external parties. Ensuring that the office is well-maintained, organized, and secure. Assisting with special projects, such as process improvements and budget development. Developing and implementing new policies and processes. Administrative Coordinator Requirements: High school diploma or equivalent. At least 3 years' experience in the administrative support field. Meticulous approach to administrative tasks. Exceptional interpersonal, written, and verbal communication skills. Proficiency with office technology and equipment, including fax machines, printers, copiers, scanners, and computers. Creativity and strong problem-solving skills. Solid presentation skills. Strong task and time management skills. Basic math abilities and an understanding of basic financial concepts. Professional appearance and courteous manner.  

Role Overview: As a Senior PHP Developer, you will be responsible for leading the development of server-side web application logic, defining and maintaining the central database, and ensuring high performance and responsiveness to requests from the front-end. You will collaborate closely with other developers, product managers, and stakeholders to deliver superior software solutions. Key Responsibilities: - Lead the design, development, and maintenance of complex web applications using PHP. - Write clean, maintainable, and efficient code following best practices and coding standards. - Architect and build robust, scalable, and secure server-side logic. - Collaborate with front-end developers to integrate user-facing elements with server-side logic. - Design and optimize database schemas, ensuring data integrity and performance. - Conduct code reviews, mentor junior developers, and provide technical guidance. - Troubleshoot, test, and maintain the core product software and databases to ensure strong optimization and functionality. - Develop and deploy new features to facilitate related procedures and tools if necessary. - Stay up-to-date with the latest industry trends and technologies to ensure the company remains at the cutting edge. Qualification Required: - 5+ years of proven software development experience in PHP. - Expertise in one or more PHP web frameworks. - Strong understanding of MVC design patterns and object-oriented programming (OOP). - Proficiency in front-end technologies including HTML, CSS, JavaScript, and AJAX. - Solid understanding of application security, including common vulnerabilities and their mitigation. - Excellent problem-solving skills and ability to debug complex issues.,

As a Systems Engineer at our company, your role will involve designing, developing, and maintaining robust software solutions using Python and C++. You will contribute to the design and architecture of complex software systems, ensuring scalability and efficiency. Additionally, you will participate in AI-driven feature integration and system-level deployment of AI models. Your responsibilities will also include conducting performance analysis and optimization of critical software components, troubleshooting and resolving software/system issues, writing clean and well-documented code, and creating detailed technical documentation. It is essential to stay current with trends in system engineering, AI applications, and software development tools. Key Responsibilities: - Design, develop, and maintain robust software solutions using Python and C++. - Contribute to the design and architecture of complex software systems, ensuring scalability and efficiency. - Participate in AI-driven feature integration and in system-level deployment of AI models. - Conduct performance analysis and optimization of critical software components. - Engage in troubleshooting and resolving software/system issues in a timely manner. - Write clean, well-documented, and reusable code following best industry practices. - Create and maintain detailed technical documentation. - Stay current with trends in system engineering, AI applications, and software development tools. Qualifications Required: - MCA or B.Tech in Computer Science / IT from a recognized institution. - 5 to 10 years of professional software development experience. - Proficiency in Python and C++ is a must. - Solid understanding of data structures, algorithms, multithreading, and system-level programming. - Working knowledge or conceptual understanding of Artificial Intelligence and its real-world applications. - Familiarity with software engineering principles such as modularity, reusability, and design patterns. - Ability to analyze complex problems and develop practical solutions. - Strong documentation and communication skills.,

They must accurately interpret medical terminology, technical information, employee information system and relevant data to create content that supports various medical and scientific objectives. In addition to writing content, medical writers need to perform research, review scientific information, and participate in ResponsibilitiesResearch scientific topics and regulatory documents.Write clear, accurate, and concise medical content.Interpret and synthesize medical terminology and technical information.Review manuscripts and ensure accuracy of content.Develop and design visual presentations.Coordinate with multidisciplinary teams.Provide editorial feedback and ensure quality control.Develop strategy and content plans.Ensure deadlines are met. Other DetailsSalary-49,000/- to 65,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-Bachelors degree (or equivalent) in finance or related fieldA Bachelors degree in science or medical writing.Work Department-CodingWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Pharma,MedicalSkills-Excellent communication, research and problem-solving skills. for more clarification contact to this number-9266704661 Also Share Your CV -shah.priyanka7840@gmail.com  RegardsHR Placement Team

As a member of Naiva Media Solutions, you will play a crucial role in creating, optimizing, and managing Google Ads campaigns across different platforms. Your strong analytical skills will be utilized to interpret campaign performance data and make informed, data-driven decisions. Additionally, you will be responsible for effectively managing budgets to ensure maximum ROI and efficient allocation of funds across campaigns. Communication with clients to understand their business requirements will also be a key aspect of your role. - Create, optimize, and manage Google Ads campaigns on various platforms such as search, display, video, and shopping - Utilize strong analytical skills to interpret campaign performance data and make data-driven decisions - Manage budgets effectively to ensure maximum ROI and efficient allocation of funds across campaigns - Communicate with clients to understand their business requirements - Bachelor's degree - Minimum of 1 year of experience in running ads on various platforms Naiva Media Solutions, with vast experience in media relations and strategic media planning, has established a unique identity in the Advertising Industry. Whether it's Media Relations or Corporate Communications, the company assists in reaching potential customers through authentic channels. The dedicated team of specialists is always proactive in planning and executing the best marketing strategies to achieve optimal results.,

Job Title: GCP Data Engineer Employment Type: Permanent Industry of the Employer: IT / Software Services Department / Functional Area: Data Engineering, Cloud Engineering Job Description GREETINGS FROM HUCON Solutions Hiring for Leading MNC GCP Data Engineer Role: GCP Data Engineer Skills: GCP, Python, SQL, BigQuery, ETL Data Pipeline Experience: 59 Years Locations: Chennai, Kochi, Bangalore, Hyderabad, Pune Eligibility Criteria Strong hands-on experience in Python, Pandas, NumPy Expertise in SQL and solid understanding of Data Warehousing concepts In-depth knowledge of GCP Services including: BigQuery, Cloud Run, Pub/Sub, Cloud Storage, Spanner, Cloud Composer, Dataflow, Cloud Functions Experience with Docker, Kubernetes, GitHub Strong communication and analytical skills Working experience with PySpark, Data Modeling, Dataproc, Terraform Google Cloud Professional Data Engineer certification is highly preferred Role Responsibilities Design, develop, and manage robust and scalable ETL / ELT pipelines on GCP using Dataflow, Cloud Run, BigQuery, Pub/Sub, and Cloud Composer Implement data ingestion workflows for structured and unstructured data sources Build and maintain data warehouses and data lakes using BigQuery, Cloud Storage, and other GCP tools Work with data modeling, architecture, and ETL/ELT frameworks Ensure best practices in performance, optimization, and cloud data management Keywords / Skills GCP, Python, SQL, BigQuery, ETL, Data Pipeline, Data Engineering, Cloud Run, Pub/Sub, Cloud Storage, Dataproc, Terraform, Kubernetes, Docker, Dataflow Total Experience: 5 to 9 Years Salary Type: Yearly Annual Salary Offered: As per company standards Job Type: Full Time Shift Type: Day Shift / Rotational (based on project requirement) Location of the Job: Chennai | Kochi | Bangalore | Hyderabad | Pune

Role Overview: As an AI Architect at EY, you will lead the design, development, and deployment of enterprise-grade generative AI solutions leveraging LLMs, diffusion models, and multimodal architectures. Your role will involve combining deep technical expertise with solution architecture, governance, and strategic advisory skills to enable responsible and scalable adoption of GenAI across various business domains. You will collaborate cross-functionally with data scientists, software engineers, risk and compliance teams, and business stakeholders to define reference architectures, integrate with existing systems, and ensure secure, ethical, and compliant AI adoption. Key Responsibilities: - Design scalable and modular architectures for generative AI solutions such as LLMs, chatbots, copilots, document intelligence, image/video generation, etc. - Define integration patterns between LLM platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Google Gemini) and enterprise systems (e.g., SAP, ServiceNow, Salesforce). - Build reference architectures, reusable components, and frameworks for GenAI use cases. - Select and benchmark foundational models and fine-tuning strategies such as RAG, LoRA, adapter-based tuning. - Drive end-to-end solution development from ideation to deployment. - Develop proof-of-concepts and pilots to demonstrate ROI and feasibility. - Collaborate with data engineers to design data pipelines and vector stores for retrieval-augmented generation (RAG). - Guide MLOps and AIOps teams on model lifecycle management, prompt orchestration, versioning, and observability. - Lead the evaluation and adoption of GenAI platforms, APIs, and orchestration tools (Microsoft AutoGen, LangChain, Semantic Kernel, etc.). - Define guardrails for prompt safety, hallucination mitigation, and explainability. Qualifications Required: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 10+ years of total experience, including 4+ years in AI/ML solution architecture or enterprise data systems. - Proven experience designing or deploying solutions using LLMs. - Strong programming and architecture skills in Python, API design, and microservices. - Experience with Azure AI Studio, AWS Bedrock, or Google Vertex AI. - Hands-on experience with vector databases and prompt engineering. - Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, Databricks, Azure ML, etc.). Additional Company Details: EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet, while building trust in capital markets. Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, providing services in more than 150 countries and territories.,

As a Big Data Engineer at UST, you will play a crucial role in designing, developing, and maintaining scalable and distributed data architectures capable of processing large volumes of data. Your responsibilities will include: - Designing and developing Big Data Architecture to handle large datasets efficiently - Implementing and optimizing data storage solutions using technologies like Hadoop, Spark, and PySpark - Developing and implementing efficient ETL processes using PySpark for data extraction, transformation, and loading - Optimizing PySpark applications for enhanced performance, scalability, and resource management To excel in this role, you should possess the following qualifications: - Proven experience as a Big Data Engineer with a strong focus on PySpark - Deep understanding of Big Data processing frameworks and technologies - Strong proficiency in PySpark for developing and optimizing ETL processes and data transformations - Experience with distributed computing and parallel processing - Ability to collaborate effectively in a fast-paced, innovative environment About UST: UST is a global digital transformation solutions provider with a track record of over 20 years in partnering with leading companies worldwide to drive impactful transformations. With a workforce of over 30,000 employees across 30 countries, UST is committed to embedding innovation and agility into clients" organizations, thus creating boundless impact and touching billions of lives in the process.,

As a Data Engineer (Snowflake) - Senior Consultant at EY GDS Data and Analytics (D&A), your role involves designing, implementing, and managing Snowflake environments across major cloud platforms. You will be responsible for developing and executing ETL processes to ensure efficient and secure data flow into cloud-based services. Collaboration with global teams to understand business objectives and deliver scalable solutions is a key aspect of your responsibilities. Additionally, optimizing data models, queries, and algorithms for performance and cost efficiency, while ensuring adherence to best practices in data governance, security, and compliance are crucial tasks. Your Key Responsibilities: - Design, implement, and manage Snowflake environments across major cloud platforms. - Develop and execute ETL processes, ensuring efficient and secure data flow into cloud-based services. - Collaborate with global teams to understand business objectives and deliver scalable solutions. - Optimize data models, queries, and algorithms for performance and cost efficiency. - Ensure adherence to best practices in data governance, security, and compliance. Skills and Attributes for Success: - Snowflake Expertise: 4+ years of hands-on experience with Snowflake components (Virtual Warehouses, Snowpipe, Streams, Tasks, Secure Views). - Data Engineering: Proven experience in building data pipelines, ingestion frameworks, and analytical solutions. - Cloud Proficiency: Strong knowledge of data migration and processing using cloud services (AWS, Azure, or GCP). - Programming Skills: Proficiency in Python or PySpark for automation and data manipulation. - Data Warehousing: Solid understanding of dimensional modeling and Snowflake-specific optimizations. - DevOps & CI/CD: Familiarity with deployment automation and version control practices. - SQL Mastery: Advanced SQL skills, including procedural SQL and query optimization. - Strong analytical and problem-solving skills with a focus on delivering high-quality technical solutions. To Qualify for the Role, You Must Have: - Bachelors degree in Computer Science, Engineering, or related field. - Primary Skills: 3+ years of hands-on experience with Snowflake on any major cloud platform. - Secondary Skills: Proficiency in Python and experience with at least one ETL tool. - Preferred Domain Experience: Power & Utilities, Oil & Gas, or Manufacturing. - Certifications: Snowflake Data Engineer certification preferred. - Experience with Agile methodologies is a plus. - Excellent communication skills and ability to manage client relationships. - Self-motivated, proactive, and committed to software development best practices. EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet, while fostering trust in capital markets. EY teams leverage data, AI, and advanced technology to help clients shape the future with confidence and address the most pressing issues of today and tomorrow. With a wide range of services in assurance, consulting, tax, strategy, and transactions, EY operates globally in more than 150 countries and territories, supported by sector insights, a diverse ecosystem, and a multi-disciplinary network.,

As a Data and Analytics (D And A) Senior specializing in Snowflake at EY, you will be a crucial part of the team helping clients solve complex business challenges through data and technology. Your role involves leading and architecting the migration of data analytics environments from Teradata to Snowflake, developing and deploying big data pipelines in a cloud environment, and optimizing model codes for faster execution. Your key responsibilities include: - Leading and Architecting migration of data analytics environment from Teradata to Snowflake with a focus on performance and reliability - Developing and deploying big data pipelines in a cloud environment using Snowflake cloud DW - Designing, developing, and migrating existing on-prem ETL routines to Cloud Service - Interacting with senior leaders to understand their business goals and contribute to the delivery of workstreams - Designing and optimizing model codes for faster execution To excel in this role, you should have hands-on experience in data warehousing, ETL, and Snowflake development. You should also be proficient in Snowflake modeling, integrating with third-party tools, and have experience in Snowflake advanced concepts such as setting up resource monitors and performance tuning. Additionally, you should have experience in object-oriented and functional programming styles using Java/Python for Big Data Engineering problems. Collaboration with cross-functional teams and continuous improvement of Snowflake products and marketing are also essential aspects of this role. To qualify for this position, you should be a computer science graduate or equivalent with 3-7 years of industry experience. Having working experience in an Agile-based delivery methodology is preferable. Strong communication skills, technical expertise in Snowflake, and the ability to deploy Snowflake following best practices are also necessary for this role. Ideally, you should have client management skills and a minimum of 5 years of experience as an Architect on Analytics solutions, with around 2 years of experience with Snowflake. EY values individuals with technical experience and enthusiasm to learn in a fast-paced environment. Working at EY offers you the opportunity to work on inspiring and meaningful projects, with a focus on education, coaching, and personal development. You will have the support, coaching, and feedback from engaging colleagues, along with opportunities to develop new skills and progress in your career. EY is dedicated to building a better working world by creating long-term value for clients, people, and society through diverse teams across the globe. Join EY and be part of a team that is committed to building trust in the capital markets and helping clients grow, transform, and operate through data and technology-driven solutions.,

As a Data Science Programs Lead Associate Director at EY, you will have the opportunity to lead the Data Engineering and Data Science pillars within the Global Analytics team, working with EY's leadership teams to ensure that data and analytics-driven insights are used in strategic and operational decision-making across the firm. Your role will involve scoping, exploring, and delivering advanced data science and machine learning projects to drive growth and create efficiencies. Key responsibilities include: - Supporting and collaborating closely with the Global Analytics team lead and other pillar leads - Using agile best practices to effectively manage team priorities and workflow across multiple projects - Ensuring high standards are maintained in terms of your team's work, including robust processes for validation, testing, and release management - Being a thought leader by proactively driving recommended next steps based on EY's needs for predictive insights - Coaching and developing the team to ensure they have the right skills to succeed and improve weak spots - Communicating developments eloquently to stakeholders, including non-technical senior leaders and other technical teams To qualify for this role, you must have: - An excellent track record in leading teams to develop data science and machine learning solutions - The ability to generate rapport and build trust with key stakeholders - Strong experience creating and managing automated ETL processes for machine learning pipelines - Practical experience performing exploratory analytics and creating data science pipelines using Python and SQL Additionally, experience with Graph databases, metadata management, LLMs using vectorized and structured data, and PowerBI is advantageous. Working at EY offers a competitive remuneration package, inclusive employer policies, flexible working arrangements, and opportunities for career development and skills enhancement. EY is committed to building a better working world by providing trust through assurance and helping clients grow, transform, and operate using data and technology.,

Are you a highly experienced passionate about cutting-edge and Join our dynamic team and play a key role in designing, deploying, and supporting high-performance computing solutions for enterprise customers.This is an exciting opportunity to work with industry-leading technology partners like and on mission-critical AI workloads and cloud data center projects. The Role: The Senior Systems Engineer is a pivotal role focused on delivering cutting-edge   & Architect, configure, and NVIDIA GPU and Supermicro server solutions in enterprise and data center environments.Design scalable compute, storage, and networking architectures to meet complex customer and project requirements.Execute ,, and .Technical Support & Provide advanced L2/L3 technical support for NVIDIA systems, Supermicro servers, and related infrastructure.Troubleshoot complex hardware, firmware, and software issues, coordinating with vendors (NVIDIA, Supermicro) for escalations.Maintain detailed and accurate of all , incidents, and solutions.Collaboration & Partner EngagementWork closely with technical teams from partners like NVIDIA and Supermicro for solution validation and product updates.Support internal and presales teams in customer engagements, product demos, and -of-Concept () implementations.Engage in partner training and certification programs to ensure expertise in emerging technologies.Data Center Management & DocumentationManage on-premise and hosted environments for , , and .Ensure strict adherence to data center best practices for power, cooling, cabling, and security.Prepare comprehensive system design documents, deployment guides, and test reports. Must-Have QualificationsExperience: Minimum 8 years in systems engineering ( center/ infrastructure).Technical Mastery: Strong knowledge of NVIDIA GPU architectures (DGX, CUDA, AI/ML frameworks).Server Proficiency: Expertise with Supermicro server platforms, BIOS/firmware, and IPMI tools.OS/Networking: Hands-on experience with Linux/Windows environments, virtualization (VMware, KVM), and data center networking (/).Skills: Excellent problem-solving, communication, and documentation abilities. Preferred (A Big Plus)Certifications: NVIDIA NCP/NGCA, Supermicro Certified, / /.Familiarity with (Docker, Kubernetes) and AI infrastructure management.

Role Overview: You will be joining a team at EY in the banking and insurance sectors as a talented Data Scientist. Your role will involve analyzing large datasets, developing predictive models, exploring Generative AI applications, collaborating with cross-functional teams, creating data visualizations, utilizing Azure services, and staying updated on industry trends. Key Responsibilities: - Analyze large datasets to extract meaningful insights and support business decisions in banking and insurance operations. - Develop and implement predictive models using SAS, R, and Python to address business challenges and improve operational efficiency. - Explore and apply Generative AI techniques to enhance data-driven solutions and create innovative products and services. - Work closely with cross-functional teams to understand data requirements and deliver actionable insights. - Create compelling visualizations and reports to communicate findings and recommendations to both technical and non-technical audiences. - Utilize Azure services for data storage, processing, and model deployment to ensure scalability and efficiency. - Stay updated on industry trends, emerging technologies, and best practices in data science and analytics. Qualifications: - Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. - 2-4 years of experience as a Data Scientist, preferably in the banking and insurance sectors. - Proficiency in SAS, R, and Python for data analysis and modeling. - Familiarity with Generative AI concepts and applications. - Experience with Azure services for data analytics and model deployment. - Strong analytical and problem-solving skills. - Excellent communication skills. Additional Company Details: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Big Data Engineer with over 5 years of relevant experience, your role will involve designing, developing, and maintaining scalable and distributed data architectures capable of processing large volumes of data. You will be responsible for implementing and optimizing data storage solutions using technologies such as Hadoop, Spark, and PySpark. Your expertise in PySpark development will be crucial for developing and implementing efficient ETL processes to extract, transform, and load large datasets. Additionally, you will play a key role in optimizing PySpark applications for better performance, scalability, and resource management. Key Responsibilities: - Design, develop, and maintain scalable and distributed data architectures for processing large volumes of data. - Implement and optimize data storage solutions using technologies like Hadoop, Spark, and PySpark. - Develop and implement efficient ETL processes using PySpark for data extraction, transformation, and loading. - Optimize PySpark applications to enhance performance, scalability, and resource management. Qualifications: - Proven experience as a Big Data Engineer with a strong focus on PySpark. - Deep understanding of Big Data processing frameworks and technologies. - Strong proficiency in PySpark for developing and optimizing ETL processes and data transformations. - Experience with distributed computing and parallel processing. - Ability to collaborate in a fast-paced, innovative environment. Please note that the additional details of the company were not provided in the job description.,

You have been selected to join the innovative team at Dbiz.AI as a Solution Architect, where you will play a crucial role in designing cutting-edge data architectures leveraging AWS cloud technologies. Your passion for big data, analytics, and AI, along with your expertise in microservices architecture, will drive the development of scalable and secure solutions for enterprise data ecosystems. **Key Responsibilities:** - **Data Architecture Design:** - Design and implement scalable, secure, and efficient data architectures using AWS for enterprise solutions. - Develop data management strategies to support business intelligence, advanced analytics, and AI initiatives. - **Cloud Data Solutions:** - Lead the development of AWS-based data ecosystems, utilizing services like AWS Data Lakehouse, S3, Redshift, Athena, and other AWS data technologies. - **Microservices Architecture:** - Design and implement microservices-based architectures for data integration and distributed data processing to ensure efficient communication and scalability. - **Data Modelling and Integration:** - Design and implement data models (both relational and non-relational) to ensure scalability and performance. - Integrate data from diverse sources, including databases, APIs, and real-time streaming. - **ETL and Data Pipeline Architecture:** - Architect end-to-end ETL and data pipelines using tools like AWS Glue, Lambda, and other AWS services for data ingestion, transformation, and curation. - **Data Governance and Security:** - Implement data governance policies to ensure compliance with industry standards for data security, privacy, and integrity. - Leverage AWS security services like IAM, encryption, and data masking for protecting sensitive information. - **Performance Optimization:** - Optimize the performance of data architectures and solutions, ensuring cost-effective data storage, retrieval, and processing while maintaining scalability. - **Collaboration and Stakeholder Engagement:** - Work closely with cross-functional teams to align data architecture with business goals and objectives. - **Emerging Technologies:** - Stay updated with advancements in cloud technologies, data management, and drive the adoption of new tools and frameworks to improve the data landscape. - **Leadership:** - Provide technical guidance and mentorship to data engineers and developers. - Lead architectural discussions, reviews, and decision-making processes. **Qualifications:** - Minimum of 8 years of experience in data architecture, focusing on AWS cloud services. - Strong expertise in microservices architecture and designing scalable data solutions on AWS. - Proficient with AWS technologies such as S3, Redshift, Athena, AWS Glue, etc. - Excellent communication skills and ability to collaborate with diverse teams. - Experience in leading architectural decisions and mentoring technical teams. **Good to Have:** - Experience in designing and implementing ETL pipelines using AWS tools. - Strong data modeling skills covering relational and NoSQL databases. - Solid understanding of data governance, data security, and compliance requirements. - Proven experience optimizing data architectures for performance and cost efficiency. - Strong problem-solving skills and a strategic mindset for building efficient data solutions.,

As a Principal Solutions Architect - AI Data Platform at Oracle's Forward Deployed Engineer (FDE) team, your role is crucial in helping global customers unlock the full potential of their data. Here are some key responsibilities that you will be handling: - Collaborate across product, engineering, and field teams to address complex AI/ML architecture challenges and ensure customer success. - Deliver technical workshops, blogs, and presentations to evangelize best practices around Oracle AI Data Platform. - Provide strategic guidance on data strategy, model lifecycle management, and Gen AI deployment patterns using OCI AI Services. - Partner with customers to assess, design, and evolve end-to-end AI-centric data architectures across Oracle Cloud Infrastructure (OCI) and hybrid environments. - Proactively recognize customer requirements, uncover unaddressed needs, and develop potential solutions across various customer groups. - Review and support big data infrastructures, including existing comprehensive designs for big data architectures aligned with business strategic goals and requirements. - Collaborate with cross-functional teams to prepare for complex product or solution-related inquiries or challenges that customers may present. - Promote understanding of customer complexities and the value propositions of various programs to key internal stakeholders. Your primary skills should include: - Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel). - Knowledge of RAG pipelines and vector DBs (e.g., 23ai, FAISS, Pinecone, Weaviate). - Familiarity with OCI Gen AI Services and model lifecycle workflows. - Solid Python and REST API skills. - Exposure to building autonomous agents and orchestration pipelines. - Experience working with cloud platforms like Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Big Data Service (BDS) and Big Data Appliance (BDA). - Proficiency in big data technologies such as Hadoop, Spark, Kafka, and NoSQL. - Design and implement scalable, secure, and efficient complex data architectures. - Manage and optimize large-scale databases. - Solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues. - Troubleshooting and problem-solving skills. - Excellent communication and collaboration skills. - Commitment to continuous learning and staying up-to-date with the latest big data technologies and trends. Desirable skills include having worked with multiple Cloud Platforms and certification in Big Data or a related field. As an IC4 level candidate, you'll be part of a world leader in cloud solutions that uses cutting-edge technology to address challenges across industries. Oracle is committed to fostering an inclusive workforce that promotes opportunities for all. Competitive benefits, flexible medical, life insurance, retirement options, and volunteer programs are some of the ways Oracle supports its employees. Additionally, Oracle is committed to including people with disabilities at all stages of the employment process, providing accessibility assistance or accommodation when needed.,

As a System Support Specialist within the ERP Services Delivery model at the company, your role involves providing system support and maintenance in alignment with standards and processes set within the organization's policies and regulatory requirements. Your key responsibilities will include: - Regular monitoring of production service tickets, understanding, analyzing, and providing functional/technical solutions to resolve assigned tickets. - Collaborating with the business to define detailed business requirements based on the overall vision and business needs. - Designing, testing, and delivering functional/technical solutions for Finance processes related change requests and projects. - Configuring and developing optimal technical solutions/features as an essential member of agile sprint team(s). - Creating and maintaining system lifecycle documents in accordance with company policies and procedures. - Participating in the Change Control process and ensuring compliance with all regulations, policies, and safety rules. Qualifications required for this role include: - Professional qualifications like CA, ICMA, or a degree in Business covering Financial Accounting and Financial Management. - Minimum 5-8 years of project or support experience in SAP FICO module. - At least one end-to-end implementation experience with configuration responsibility will be desirable. Preferred Knowledge, Skills, and Abilities: - Hands-on experience in configuring and testing FI-GL, FI-AP, AR, Asset Accounting, and Bank Accounting. - Good understanding of cross-module integration of SAP FICO with other modules, especially SD and MM modules. - Experience in Tax on Sales/Purchases solution will be an added advantage. - Experience or knowledge of CO module, especially Product Cost Controlling and Project Systems, will be desirable. In addition to the essential duties and responsibilities, you are expected to exhibit regular, reliable, punctual, and predictable attendance. Any other duties as assigned by the company would also be part of your role.,

As a highly skilled Azure PySpark Solution Architect, your role involves designing and implementing scalable data solutions on Microsoft Azure. Your expertise in Azure services, PySpark, and solution architecture will ensure efficient data processing and analytics workflows for enterprise applications. **Key Responsibilities:** - Design and implement end-to-end data solutions using Azure Data Services and PySpark - Develop high-performance ETL pipelines leveraging Azure Databricks, Azure Data Factory, and Synapse Analytics - Architect scalable, secure, and cost-efficient cloud solutions aligning with business objectives - Collaborate with data engineers, data scientists, and business stakeholders to define technical requirements and solution roadmaps - Optimize big data processing and ensure data governance, security, and compliance standards are met - Provide technical leadership and best practices for Azure and PySpark-based data solutions - Conduct performance tuning and troubleshooting for PySpark workloads - Ensure seamless integration with third-party tools, APIs, and enterprise systems **Qualifications Required:** - Expertise in Azure Cloud Services (Azure Databricks, Data Factory, Synapse, Azure Storage, ADLS) and hands-on experience with PySpark - Deep understanding of solution architecture, including microservices, event-driven architectures, and cloud-native patterns - Experience with SQL, NoSQL databases, and data modeling in Azure - Knowledge of CI/CD pipelines, DevOps, and Infrastructure-as-Code (Terraform, ARM templates, or Bicep) - Strong problem-solving skills and ability to optimize large-scale data workloads - Excellent communication and stakeholder management skills In addition to the primary skills, good-to-have skills include familiarity with streaming technologies such as Kafka, Event Hubs, and Spark Streaming, knowledge of containerization technologies (Docker, Kubernetes), experience with machine learning frameworks, integration with big data pipelines, familiarity with Agile/Scrum methodologies and related tools (JIRA, Confluence), and understanding of data security frameworks and compliance regulations (GDPR, HIPAA, etc.).,

As an AI Architect, your role will involve leading the design and implementation of cutting-edge AI solutions to drive your company's AI transformation. You will play a critical role in bridging the gap between business needs, technical feasibility, and successful deployment of AI initiatives across product and delivery organizations. Key Responsibilities: - Define and drive the AI architectural strategy and roadmap to align with overall business objectives and AI transformation goals. - Lead the end-to-end architectural design of complex AI/ML solutions, including data pipelines, model training, deployment, and monitoring. - Evaluate and recommend appropriate AI technologies, platforms, and tools to support scalable and robust AI solutions. - Partner closely with product teams, delivery organizations, and data scientists to translate business requirements into technical specifications and architectural designs. - Establish and enforce AI development best practices, coding standards, and governance policies for high-quality, secure, and compliant AI solutions. - Design AI solutions with scalability, performance, and reliability in mind, anticipating future growth and evolving business needs. - Stay updated on the latest advancements in AI, machine learning, and related technologies to identify opportunities for innovation and competitive advantage. - Mentor and upskill internal teams on AI architectural patterns, emerging technologies, and best practices. Key Requirements: - 8-15 years of experience in architecting and implementing complex AI/ML solutions, focusing on enterprise-grade systems. - Deep understanding of machine learning algorithms, deep learning architectures, and natural language processing (NLP) techniques. - Proven experience with major cloud AI platforms and MLOps principles. - Strong proficiency in programming languages commonly used in AI development such as Python and Java. - Experience with big data technologies like Spark, Hadoop, and data warehousing solutions. - Demonstrated ability to lead cross-functional technical teams and drive successful project outcomes. - Excellent communication, presentation, and stakeholder management skills. - Bachelor's or master's degree in computer science, AI, Machine Learning, or a related quantitative field. Good To Have: - Prior experience in an AI leadership or principal architect role within an IT services or product development company. - Familiarity with containerization and orchestration technologies for deploying AI models. - Experience with responsible AI principles, ethics, and bias mitigation strategies. - Contributions to open-source AI projects or relevant publications. In conclusion, this role as an AI Architect will require you to have a strong background in AI architecture, machine learning, deep learning, NLP, cloud AI platforms, MLOps, data engineering, Python, solution design, technical leadership, scalability, and performance optimization.,