8675 Data Modeling Jobs - Page 29

Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small and largescale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Overview We are seeking a highly skilled and experienced Azure Data Architect to design, develop, and manage scalable and secure data solutions on Microsoft Azure. The ideal candidate will have a deep understanding of cloud data architecture, modern data platforms, data governance, and analytics frameworks. You will collaborate closely with data engineers, analysts, and business stakeholders to enable datadriven decisionmaking. Key Responsibilities Design and implement endtoend data architectures on Microsoft Azure (e.g., Data Lake, Data Factory, Synapse Analytics, Databricks, etc.). Define and implement data strategies, roadmaps, and governance frameworks. Lead the development of scalable data pipelines, integration workflows, and ETL/ELT processes. Design and optimize Azure SQL Databases, Cosmos DB, and other storage solutions. Ensure security, privacy, and compliance of data solutions (e.g., rolebased access, data masking, encryption). Implement data modeling best practices for structured, semistructured, and unstructured data. Collaborate with crossfunctional teams to understand business requirements and translate them into data solutions. Monitor and troubleshoot data architecture performance and reliability issues. Guide and mentor data engineering teams on Azure best practices Evaluate new Azure services and tools for continuous improvement. Strong knowledge of o Azure Data Factory o Azure Data Lake Storage (Gen2) o Azure Synapse Analytics o Azure Databricks o Azure SQL Database / Cosmos DB o Azure Purview / Microsoft Fabric (optional) Mandatory skill sets Proficiency in data modeling, warehousing, and modern data lake house concepts. Familiarity with Python, SQL, Spark, and Power BI. Deep understanding of data governance, data quality, and data security principles. Strong communication and stakeholder management skills. Preferred skill sets Azure Data Engineer Associate (DP203) Azure Solutions Architect Expert (AZ305) Azure Enterprise Data Analyst Associate (DP500) Years of experience required 1215 Years Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field of Study preferred Required Skills Data Architecture Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Coaching and Feedback, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM) {+ 44 more} No

Digital innovation Process Analyst M/F - India, Hyderabad - 161265 | Safran Digital innovation Process Analyst M/F Job Description Job Description We are seeking a highly experienced and data-driven Digital Innovation -Process Analyst to lead end-to-end analytical initiatives that drive operational excellence, automation, and strategic decision-making across the organization. This role blends business process optimization, advanced analytics, and Power BI development, requiring a strong mix of technical expertise, business acumen, and stakeholder engagement. The ideal candidate will be responsible for analyzing complex processes, visualizing performance through dashboards, and identifying automation opportunities. Key Responsibilities | Lean /Innovation specialist reports to MRO Lean Manager responsible for: Support Lean Manager to execute continuous improvement activities and advanced technology for MRO. Identify/eliminate waste and inefficiencies in processes and technologies through lean /Innovation methods. Mentor cross functional teams on Kaizen, digital tools and various problem-solving methods. Work with Safran digital teams to implement the new digital technology tools for the MRO. Prepare and deliver trainings on digital technology and methodologies to all new employees. Liaise with MRO ERP process owners and continually improve the quality of technology for the MRO. Lead root cause analysis using data from multiple systems. Design and maintain operational KPIs and performance dashboards to monitor business health and identify improvement areas. Develop business cases with ROI projections, cost-saving opportunities, and productivity benchmarks for improvement initiatives. Translate complex data into compelling stories and visualizations to drive stakeholder engagement and executive decision-making. Perform process modeling and process conformance analysis for business process management and optimization. Drive value enablement and roadmap execution for transformation programs across value streams. Collaborate on AI/ML-powered analytics projects to enhance business outcomes through predictive insights. Ensure seamless project execution with change management strategies to promote adoption and behavioral alignment. Power BI Responsibilities Design and deliver interactive and performance-optimized Power BI dashboards and reports. Develop robust data models, calculated columns, and DAX measures aligned to business KPIs. Build and optimize ETL pipelines using Power Query (M) for structured and unstructured data sources. Manage role-based security (RLS) and user access within Power BI Service. Maintain and publish reports, configure scheduled refreshes, and manage on-premise data gateways. Create user-friendly documentation and training materials for end users. Stay current with Power BI features and advocate for continuous improvement. Job Requirements 8+ years of experience in Business Intelligence, Data Analytics, and Reporting, with deep expertise in Power BI. Strong proficiency in DAX, Power Query (M), and data modeling best practices. Hands-on experience with cloud-based analytics platforms, preferably Microsoft Azure. Strong knowledge of SQL and relational databases (Oracle, SQL Server), as well as handling unstructured data. Familiarity with the Power Platform ecosystem (Power Apps, Power Automate) is a plus. Excellent analytical, logical reasoning, and problem-solving skills. Strong communication and stakeholder management capabilities, especially in remote or distributed team settings. Ability to translate business challenges into actionable, data-driven insights. Company Information Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets. Safran is in the 2nd place in the aerospace and defense industry in TIME magazines "Worlds best companies 2024" ranking. Safran Aircraft Engines designs, produces and sells, alone or in partnership, commercial and military aircraft engines offering world-class performance, reliability and environmental compliance. Through CFM International*, Safran Aircraft Engines is the worlds leading supplier of engines for single-aisle mainline commercial jets. * CFM International is a 50/50 joint venture between Safran Aircraft Engines and GE Aerospace Number of countries where Safran is located

Job Position Summary The MetLife Corporate Technology (CT) organization is evolving to enable MetLife s New Frontier strategy. With a strong vision in place, we are a global function focused on driving digital technology strategies for key corporate functions within MetLife including, Finance, Actuarial, Reinsurance, Legal, Human Resources, Employee Experience, Risk, Treasury, Audit and Compliance. In partnership with our business leaders, we develop and deliver seamless technology experiences to our employees across the entire employee lifecycle. Our vision and mission is to create innovative, transformative and contemporary technology solutions to empower our leaders and employees so they can focus on what matters most, our customers. We are technologists with strong business acumen focused on developing our talent to continually transform and innovate. We are seeking a highly motivated and skilled Azure Data Engineer to join our growing team in Hyderabad. This position is perfect for talented professionals with 4-8 years of experience in designing, building, and maintaining scalable cloud-based data solutions. As an Azure Data Engineer at MetLife, you will collaborate with cross-functional teams to enable data transformation, analytics, and decision-making by leveraging Microsoft Azure s advanced technologies. He/she should be a strategic thinker, an effective communicator, and an expert in technological development. Key Relationships Internal Stake Holder Key Responsibilities Design, develop, and maintain efficient and scalable data pipelines using Azure Data Factory (ADF) for ETL/ELT processes. Build and optimize data models and data flows in Azure Synapse Analytics, SQL Databases, and Azure Data Lake. Work with large datasets to define, test, and implement data storage, transformation, and processing strategies using Azure-based services. Create and manage data pipelines for ingesting, processing, and transforming data from various sources into a structured format. Develop solutions for real-time and batch processing using tools like Azure Stream Analytics and Event Hubs. Implement data security, governance, and compliance measures to ensure the integrity and accessibility of the organization s data assets. Contribute to the migration of on-premises databases and ETL processes to Azure cloud. Build processes to identify, monitor, and resolve data inconsistencies and quality issues. Collaborate with data architects, business analysts, and developers to deliver reliable and performant data solutions aligned with business requirements. Monitor and optimize performance and cost of Azure-based data solutions. Document architectures, data flows, pipelines, and implementations for future reference and knowledge sharing. Knowledge, Skills, and Abilities Education A Bachelors/masters degree in computer science or equivalent Engineering degree. Candidate Qualifications: Education: Bachelors degree in computer science, Information Systems or related field Experience: Required: 4-8 years of experience in data engineering, with a strong focus on Azure-based services. Proficiency in Azure Data Factory (ADF) , Azure Synapse Analytics, Azure Data Lake, and Azure SQL Databases. Strong knowledge of data modeling, ETL/ELT processes , and data pipeline design. Hands-on experience with Python, SQL, and Spark for data manipulation and transformation. Exposure to big data platforms like Hadoop, Databricks, or similar technologies. Experience with real-time data streaming using tools like Azure Stream Analytics, Event Hubs , or Service Bus. Familiarity with data governance, best practices, and security protocols within cloud environments. Solid understanding of Azure DevOps for CI/CD pipelines around data workflows. Strong problem-solving skills with attention to detail and a results-driven mindset. Excellent collaboration, communication, and interpersonal skills for working with cross-functional teams. Preferred: Demonstrated experience in end-to-end cloud data warehouse migrations . Familiarity with Power BI or other visualization tools for creating dashboards and reports. Certification in Azure Data Engineer Associate or Azure Solutions Architect is a plus. Understanding of machine learning concepts and integrating AI/ML pipelines is an advantage. Skills and Competencies: Language: Proficiency at business level in English. Competencies: Communication: Ability to influence and help communicate the organization s direction and ensure results are achieved Collaboration: Proven track record of building collaborative partnerships and ability to operate effectively in a global environment Diverse environment: Can-do attitude and ability to work in a high paced environment Tech Stack Development & Delivery Methods: Agile (Scaled Agile Framework) DevOps and CI/CD: Azure DevOps Development Frameworks and Languages: SQL Spark Python Azure: Functional Knowledge of cloud based solutions

Job Position Summary The MetLife Corporate Technology (CT) organization is evolving to enable MetLife s New Frontier strategy. With a strong vision in place, we are a global function focused on driving digital technology strategies for key corporate functions within MetLife including, Finance, Actuarial, Reinsurance, Legal, Human Resources, Employee Experience, Risk, Treasury, Audit and Compliance. In partnership with our business leaders, we develop and deliver seamless technology experiences to our employees across the entire employee lifecycle. Our vision and mission is to create innovative, transformative and contemporary technology solutions to empower our leaders and employees so they can focus on what matters most, our customers. We are technologists with strong business acumen focused on developing our talent to continually transform and innovate. We are seeking a skilled Oracle HCM Technical Consultant to join our dynamic team in Hyderabad. This role is ideal for professionals with 4-8 years of experience who are passionate about leveraging Oracle HCM technology to solve business challenges. As a part of this role, you will be partnering with cross-functional teams, play a pivotal role in system implementation and enhancement, and contribute to optimizing HR processes. He/she should be a strategic thinker, an effective communicator, and an expert in technological development. Key Relationships Internal Stake Holder Key Responsibilities Develop and customize Oracle HCM solutions to meet business requirements, including workflows, reports, integration interfaces, extensions, and configurations. Support the implementation, maintenance, and enhancement of HCM modules such as Core HR, Payroll, Absence Management, Talent Management, Benefits, or Learning Management. Collaborate with HR stakeholders and functional teams to understand requirements, gather specifications, and design tailored solutions. Troubleshoot and resolve technical issues in Oracle HCM applications, ensuring system continuity and optimal performance. Create technical documentation, including system design, configuration, and testing scenarios. Develop and manage data migration activities, ensuring accuracy and consistency of data during conversion to Oracle HCM. Build and maintain integrations with third-party applications using tools like Oracle Integration Cloud (OIC) or SOA. Assist in regular system upgrades, patches, and testing to ensure compliance with the latest Oracle releases. Provide technical expertise and support on Oracle HCM reporting tools, including OTBI, BI Publisher, and HCM Extracts. Work collaboratively with internal teams and vendor resources to meet project deadlines Knowledge, Skills, and Abilities Education A Bachelors/masters degree in computer science or equivalent Engineering degree. Candidate Qualifications: Education: Bachelors degree in computer science, Information Systems or related field Experience: Required: 4-8 years of experience as a technical consultant working with Oracle HCM Cloud applications. Strong expertise in Oracle HCM modules (Core HR, Payroll, Talent, Absence, etc.) and a solid understanding of business processes. Proficiency in Oracle SQL, PL/SQL, BI Publisher, HCM Extracts, Fast Formulas, and OTBI reports. Hands-on experience with Oracle Integration tools (Oracle Integration Cloud or SOA Suite). Knowledge of data modeling, migration, and transformation techniques. Ability to develop and troubleshoot custom reports, interfaces, and extensions. Strong problem-solving, analytical, and technical troubleshooting skills. Excellent communication and interpersonal skills for effective collaboration with stakeholders. Experience working in agile and project-based environments is preferred. Oracle HCM certifications are a plus but not mandatory. Preferred: Experience integrating Oracle HCM with on-premise or third-party systems. Familiarity with HR workflows, policies, and compliance requirements. Ability to manage systems testing including unit, QA, end to end and user acceptance testing Experience managing vendors to SLA s. Proven experience collaborating with peers to establish best practices to achieve high service levels. Skills and Competencies: Language: Proficiency at business level in English. Competencies: Communication: Ability to influence and help communicate the organization s direction and ensure results are achieved Collaboration: Proven track record of building collaborative partnerships and ability to operate effectively in a global environment Diverse environment: Can-do attitude and ability to work in a high paced environment Tech Stack Development & Delivery Methods: Agile (Scaled Agile Framework) Development Frameworks and Languages: SQL, PL/SQL Reporting Tools: OTBI, BI Publisher Integrations: Oracle Integration Cloud (OIC) or SOA HCM Extracts Oracle HCM: Functional Knowledge of Payroll, Benefits, Time and Labor, Absence, Learning, Performance and/or Compensation

Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Skills: Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Aws, Ml

Greetings!!! This is in regards to a Job opportunity for Data Architect with Datamatics Global Services Ltd. Position: Data Architect Website: https://www.datamatics.com/ Job Location: Mumbai(Andheri - Seepz)/Bangalore(Kalyani Neptune Bannerghatta Road) Job Description: Job Overview: We are seeking a Data Architect to lead end-to-end solutioning for enterprise data platforms while driving strategy, architecture, and innovation within our Data Center of Excellence (COE). This role requires deep expertise in Azure, Databricks, SQL, and Python, alongside strong pre-sales and advisory capabilities. The architect will serve as a trusted advisor, mentoring and guiding delivery teams, and defining scalable data strategies that align with business objectives. Key Responsibilities: Core Engineering Data Architecture & Solutioning - Design and implement enterprise-wide data architectures, ensuring scalability, security, and performance. - Lead end-to-end data solutioning, covering ingestion, transformation, governance, analytics, and visualization. - Architect high-performance data pipelines leveraging Azure Data Factory, Databricks, SQL, and Python. - Establish data governance frameworks, integrating Delta Lake, Azure Purview, and metadata management best practices. - Optimize data models, indexing strategies, and high-volume query processing. - Oversee data security, access controls, and compliance policies within cloud environments. - Mentor engineering teams, guiding best practices in data architecture, pipeline development, and optimization. Data COE & Thought Leadership - Define data architecture strategies, frameworks, and reusable assets for the Data COE. - Drive best practices, standards, and innovation across data engineering and analytics teams. - Act as a subject matter expert, shaping data strategy, scalability models, and governance frameworks. - Lead data modernization efforts, advising on cloud migration, system optimization, and future-proofing architectures. - Deliver technical mentorship, ensuring teams adopt cutting-edge data engineering techniques. - Represent the Data COE in industry discussions, internal training, and thought leadership sessions. Pre-Sales & Solution Advisory - Engage in pre-sales consulting, defining enterprise data strategies for prospects and existing customers. - Craft solution designs, architecture blueprints, and contribute to proof-of-concept (PoC) implementations. - Partner with sales and consulting teams to translate client needs into scalable data solutions. - Provide strategic guidance on Azure, Databricks, and cloud adoption roadmaps. - Present technical proposals and recommendations to executive stakeholders and customers. - Stay ahead of emerging cloud data trends to enhance solution offerings. Required Skills & Qualifications: - 15+ years of experience in data architecture, engineering, and cloud data solutions. - Proven expertise in Azure, Databricks, SQL, and Python as primary technologies. - Proficiency in other relevant cloud and data engineering tools based on business needs. - Deep knowledge of data governance, metadata management, and security policies. - Strong pre-sales, consulting, and solution advisory experience in enterprise data platforms. - Advanced skills in SQL optimization, data pipeline architecture, and high-scale analytics. - Leadership experience in mentoring teams, defining best practices, and driving thought leadership. - Expertise in Delta Lake, Azure Purview, and scalable data architectures. - Strong stakeholder management skills across technical and business domains. Preferred but Not Mandatory: - Familiarity with Microsoft Fabric and Power BI data accessibility techniques. - Hands-on experience with CI/CD for data pipelines, DevOps, and version control practices. Additional Notes: - The technologies listed above are primary but indicative. - The candidate should have the flexibility to work with additional tools and platforms based on business needs.

Job title: Senior Software Engineer Experience: 5- 8 years Primary skills: Python, Spark or Pyspark, DWH ETL. Database: SparkSQL or PostgreSQL Secondary skills: Databricks ( Delta Lake, Delta tables, Unity Catalog) Work Model: Hybrid (Weekly Twice) Cab Facility: Yes Work Timings: 10am to 7pm Interview Process: 3 rounds (3rd round F2F Mandatory) Work Location: Karle Town Tech Park Nagawara, Hebbal Bengaluru 560045 About Business Unit: The Architecture Team plays a pivotal role in the end-to-end design, governance, and strategic direction of product development within Epsilon People Cloud (EPC). As a centre of technical excellence, the team ensures that every product feature is engineered to meet the highest standards of scalability, security, performance, and maintainability. Their responsibilities span across architectural ownership of critical product features, driving techno-product leadership, enforcing architectural governance, and ensuring systems are built with scalability, security, and compliance in mind. They design multi cloud and hybrid cloud solutions that support seamless integration across diverse environments and contribute significantly to interoperability between EPC products and the broader enterprise ecosystem. The team fosters innovation and technical leadership while actively collaborating with key partners to align technology decisions with business goals. Through this, the Architecture Team ensures the delivery of future-ready, enterprise-grade, efficient and performant, secure and resilient platforms that form the backbone of Epsilon People Cloud. Why we are looking for you: You have experience working as a Data Engineer with strong database fundamentals and ETL background. You have experience working in a Data warehouse environment and dealing with data volume in terabytes and above. You have experience working in relation data systems, preferably PostgreSQL and SparkSQL. You have excellent designing and coding skills and can mentor a junior engineer in the team. You have excellent written and verbal communication skills. You are experienced and comfortable working with global clients You work well with teams and are able to work with multiple collaborators including clients, vendors and delivery teams. You are proficient with bug tracking and test management toolsets to support development processes such as CI/CD. What you will enjoy in this role: As part of the Epsilon Technology practice, the pace of the work matches the fast-evolving demands in the industry. You will get to work on the latest tools and technology and deal with data of petabyte-scale. Work on homegrown frameworks on Spark and Airflow etc. Exposure to Digital Marketing Domain where Epsilon is a marker leader. Understand and work closely with consumer data across different segments that will eventually provide insights into consumer behaviour's and patterns to design digital Ad strategies. As part of the dynamic team, you will have opportunities to innovate and put your recommendations forward. Using existing standard methodologies and defining as per evolving industry standards. Opportunity to work with Business, System and Delivery to build a solid foundation on Digital Marketing Domain. The open and transparent environment that values innovation and efficiency Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. What will you do? Develop a deep understanding of the business context under which your team operates and present feature recommendations in an agile working environment. Lead, design and code solutions on and off database for ensuring application access to enable data-driven decision making for the company's multi-faceted ad serving operations. Working closely with Engineering resources across the globe to ensure enterprise data warehouse solutions and assets are actionable, accessible and evolving in lockstep with the needs of the ever-changing business model. This role requires deep expertise in spark and strong proficiency in ETL, SQL, and modern data engineering practices. Design, develop, and manage ETL/ELT pipelines in Databricks using PySpark/SparkSQL, integrating various data sources to support business operations Lead in the areas of solution design, code development, quality assurance, data modelling, business intelligence. Mentor Junior engineers in the team. Stay abreast of developments in the data world in terms of governance, quality and performance optimization. Able to have effective client meetings, understand deliverables, and drive successful outcomes. Qualifications: Bachelor's Degree in Computer Science or equivalent degree is required. 5 - 8 years of data engineering experience with expertise using Apache Spark and Databases (preferably Databricks) in marketing technologies and data management, and technical understanding in these areas. Monitor and tune Databricks workloads to ensure high performance and scalability, adapting to business needs as required. Solid experience in Basic and Advanced SQL writing and tuning. Experience with Python Solid understanding of CI/CD practices with experience in Git for version control and integration for spark data projects. Good understanding of Disaster Recovery and Business Continuity solutions Experience with scheduling applications with complex interdependencies, preferably Airflow Good experience in working with geographically and culturally diverse teams. Understanding of data management concepts in both traditional relational databases and big data lakehouse solutions such as Apache Hive, AWS Glue or Databricks. Excellent written and verbal communication skills. Ability to handle complex products. Good communication and problem-solving skills, with the ability to manage multiple priorities. Ability to diagnose and solve problems quickly. Diligent, able to multi-task, prioritize and able to quickly change priorities. Good time management. Good to have knowledge of cloud platforms (cloud security) and familiarity with Terraform or other infrastructure-as-code tools. About Epsilon: Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we have provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Skillsoft is seeking an experienced Data Integration Engineer to support and modernize our data integration processes. This role is responsible for managing the traditional ETL lifecycle while driving the transition to event-driven, API- based solutions. The ideal candidate will support existing systems while driving operational excellence and modernization initiatives. Opportunity Highlights: ETL Development & Data Management Design, develop, and optimize ETL processes to integrate data from multiple sources. Ensure the data integrity, accuracy, and security across all integration workflows. Troubleshoot and resolve ETL job failures, optimizing performance and throughput. Database Administration & Support: Support schema design, indexing strategies, and query optimization for efficient data retrieval . Provide database administration support for ETL workflows and integration projects. Modernization & Innovation: Drive the transition from traditional ETL processes to modern, event-driven, API-based data integration solutions. Develop and implement strategies for data process modernization. Explore and implement AI/ML-driven automation for API-based integration workflows. Stay updated with the latest trends and technologies in data integration and apply them to improve existing systems. Operational Excellence: Support and maintain existing data integration systems. Optimize data pipelines for performance and efficiency. Collaborate with cross-functional teams to understand data needs and deliver effective solutions. Define and monitor KPIs for data integration and database performance. Skills & Qualifications Proven experience in managing traditional ETL lifecycles. Strong knowledge of event-driven architectures and API-based data integration. Proficiency in SQL and experience with database management systems. Ability to create and modify C# scripts within SSIS for custom API integrations. Experience with cloud-based data integration tools and platforms. Experience in working with Agile/Scrum environments. Effective communication and collaboration skills. Ability to manage multiple priorities and deliver in a fast-paced environment. A passion for innovation and continuous improvement. 5-10 years of experience in ETL development, data integration, and database administration.

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Senior Manager- ServiceNow Platform Technical Architect Qualification : BE / B.tech Relevant Experience : 15+ Years Must Have Skills : The ServiceNow Technical Architect is responsible for designing and implementing scalable, secure, and efficient ServiceNow solutions that align with business objectives. This role involves assessing current architecture, re-defining platform architecture aligned with best practices, integration requirement with enterprise systems, and providing technical expertise to the development teams. Key Responsibilities Solution Architecture & Design Define and implement scalable, performant ServiceNow solutions that align with business needs. Develop and maintain ServiceNow architecture standards, best practices, and governance frameworks. Ensure technical alignment with enterprise IT strategies, security policies, and compliance requirements. Customize and implement SRE practices for platform and associated products/applications Technical Leadership & Governance Provide architectural guidance and technical mentorship to ServiceNow developers and administrators. Conduct code reviews, technical audits, and system performance optimizations. Establish governance policies for instance management, upgrades, and platform security. Platform Development & Customization Oversee the customization and configuration of ServiceNow applications and modules. Review custom scripts, business rules, UI policies, workflows, and integrations from Service now best practices standpoint Utilize ServiceNow development tools such as Flow Designer, UI Builder, and Glide APIs. Integration & Automation Design and implement integrations with third-party systems using REST, SOAP, LDAP, and MID Server. Optimize workflows and automation using Integration Hub and Orchestration. Ensure seamless data flow between ServiceNow and enterprise applications. Collaboration & Stakeholder Management Work closely with business analysts, product owners, and IT teams to translate business requirements into technical solutions. Provide expert consultation on ServiceNow capabilities, roadmap, and implementation strategies. -Communicate technical concepts effectively to both technical and non-technical stakeholders. Platform Maintenance & Upgrades Manage ServiceNow upgrades, patching, and instance performance monitoring. Ensure minimal disruption and adherence to ServiceNows upgrade best practices. Stay up to date with new ServiceNow releases and features. Required Qualifications 18-20 years of total software engineering/ IT experience.15+ years of ServiceNow development/Ops & Technical architecture experience. ServiceNow Expertise: Deep understanding of ServiceNow architecture, data model, and development best practices. Development Skills: Proficiency in JavaScript, Glide APIs, Flow Designer, andUI development. Integration Knowledge: Experience with REST, SOAP, JSON, LDAP, OAuth, and integration middleware. Cloud & Security: Understanding of cloud infrastructure, IT security, and compliance frameworks. Certifications: ServiceNow Certified Technical Architect (Must have). ServiceNow Certified System Administrator (CSA), Certified Implementation Specialist (CIS), Certified Application Developer (CAD), Preferred Qualifications Experience in working in Agile/Scrum environments. Familiarity with ITIL framework and best practices. Strong problem-solving, analytical, and communication skills. Location : Hyderabad CTC Range : As per market standards Notice period : Immediate Shift Timing : General Shift Mode of Interview : Virtual Mode of Work : Work from office Bhuvaneshwari S Senior Specialist Black and White outsourcing Pvt Ltd Bangalore, Karnataka,INDIA. bhuvaneshwari@blackwhite.in | www.blackwhite.in

Design, develop & optimize complex databases. Create, deploy & maintain interactive Power BI reports & dashboards to meet business intelligence requirements. Develop SQL queries, stored procedures, functions to extract, manipulate & analyse data. Required Candidate profile Power BI Developer with 5+ years experience in building dynamic dashboards, interactive reports & data models. Microsoft Certified Power BI Data Analyst Associate. Strong knowledge of SQL,T-SQL & DMS.

You should have a total of 8+ years of development/design experience, with a minimum of 3 years experience in Big Data technologies on-prem and on cloud. Proficiency in Snowflake and strong SQL programming skills are required. In addition, you should have strong experience with data modeling and schema design, as well as extensive experience using Data warehousing tools like Snowflake, BigQuery, or RedShift. Experience with BI Tools like Tableau, QuickSight, or PowerBI is a must, with at least one tool being a requirement. You should also have strong experience implementing ETL/ELT processes and building data pipelines, including workflow management, job scheduling, and monitoring. A good understanding of Data Governance, Security and Compliance, Data Quality, Metadata Management, Master Data Management, and Data Catalog is essential. Moreover, you should have a strong understanding of cloud services (AWS or Azure), including IAM and log analytics. Excellent interpersonal and teamwork skills are necessary for this role, as well as experience with leading and mentoring other team members. Good knowledge of Agile Scrum and communication skills are also required. As part of the job responsibilities, you will be expected to perform the same tasks as mentioned above. At GlobalLogic, we prioritize a culture of caring. From day one, you will experience an inclusive culture of acceptance and belonging, where you will have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to your continuous learning and development. You will learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you will have the chance to work on projects that matter and engage your curiosity and creative problem-solving skills. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. GlobalLogic is a high-trust organization where integrity is key. By joining us, you are placing your trust in a safe, reliable, and ethical global company. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we have been at the forefront of the digital revolution, helping create innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.,

As a skilled Salesforce Developer with 4-6 years of experience, you will be responsible for designing, developing, and implementing custom Salesforce applications. Your expertise in Apex, Visualforce, Lightning Components, and integrations will be crucial in enhancing our Salesforce environment. Collaborating with cross-functional teams, you will play a key role in ensuring the success of our Salesforce projects. Your key responsibilities will include: - Designing, developing, testing, and deploying custom Salesforce applications using Apex, Visualforce, Lightning Components, LWC, and other Salesforce technologies. - Configuring Salesforce to align with business requirements, including creating and modifying objects, Lightning flows, validation rules, and approval processes. - Integrating Salesforce with other systems and third-party applications through REST/SOAP APIs, middleware, and ETL tools. - Managing data integrity by implementing data migration and data cleansing strategies, as well as overseeing data modeling, security, and backups. - Creating and maintaining technical documentation, such as design specifications, deployment plans, and system architecture diagrams. - Providing ongoing support and troubleshooting for Salesforce-related issues, including debugging and performance optimization. - Ensuring adherence to Salesforce development best practices by conducting code reviews, testing, and maintaining code quality standards. Required Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - 4-6 years of hands-on experience in Salesforce development. - Salesforce Certified Platform Developer I or II. Technical Skills: - Proficiency in Apex, Visualforce, Lightning Components, LWC, and SOQL. - Experience with Salesforce integrations using REST/SOAP APIs and familiarity with middleware tools. - Knowledge of Salesforce declarative tools such as Lightning Flow and Workflow Rules. - Understanding of the Salesforce security model, including profiles, roles, and sharing rules. - Familiarity with CI/CD tools for Salesforce, such as Jenkins or Salesforce DX. - Experience with Agile/Scrum development methodologies. If you are a proactive, detail-oriented Salesforce Developer with a passion for innovation and a commitment to excellence, we invite you to join our dynamic team and contribute to the success of our Salesforce projects.,

At EY, the focus is on shaping your future with confidence. By joining EY, you become part of a globally connected powerhouse of diverse teams that can propel your career in any direction you desire. EY's mission is to contribute to building a better working world. To excel in this role, you should possess the following qualifications: - Demonstrated expertise of 5 to 7 years in Power BI, with a deep understanding of DAX and the Power Query formula language (M-language). - Advanced knowledge of data modeling, data warehousing, and ETL techniques. - Proficiency in designing, developing, and maintaining Power BI reports and dashboards, including paginated reports, to facilitate business decision-making processes. - Experience in creating and implementing Power BI data models for intricate and large-scale enterprise environments. - Proven track record in deploying and optimizing large datasets effectively. - Proficiency in SQL and other data querying languages. - Strong collaboration, analytical, interpersonal, and communication skills. Ideally, candidates for this role should also have: - A Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. - Microsoft Power BI certification. - Experience with other Business Intelligence (BI) tools. - Familiarity with Enterprise Data products such as Databricks and MS Fabric would be advantageous. - Previous successful collaboration within large teams to implement Power BI solutions. - Sound knowledge of the software development lifecycle and experience with Git. - Ability to propose solutions based on best practices derived from Microsoft documentation, whitepapers, and community publications. EY is dedicated to building a better working world by generating new value for clients, people, society, and the planet, while instilling trust in capital markets. Using data, artificial intelligence (AI), and advanced technology, EY teams assist clients in shaping the future with confidence and crafting solutions for the most critical issues of today and tomorrow. EY operates across a wide range of services in assurance, consulting, tax, strategy, and transactions. Leveraging sector insights, a globally connected multi-disciplinary network, and diverse ecosystem partners, EY offers services in over 150 countries and territories.,

As a Senior Specialist in Data Science at our company, you will have the opportunity to leverage analytics and technology to drive decision-making in order to address some of the world's greatest health threats. You will be part of the Insights, Analytics, and Data organization, working with partners in various Therapeutic and Domain areas to create scalable and production-grade analytics solutions. Your role will involve collaborating with Market leaders to tackle critical business questions using data science solutions and translating business queries into analytical problems. We are looking for candidates with prior experience in healthcare analytics or consulting sectors, leading Data Science teams, and delivering end-to-end data science projects. You should have a thorough understanding of Physician and Patient-level data from leading vendors and extensive experience in commercial pharma analytics. Effective communication skills are crucial as you will be interfacing with executive and business stakeholders. As a Senior Specialist in Data Science, you should have a solid foundation in statistics and machine learning and be able to work in high-performance computing environments. You should be self-motivated, with the ability to think independently and structure your data science approach according to the task at hand. Collaboration, continuous learning, and effective communication are key aspects of this role. Key Responsibilities: - Lead a moderate-sized team of Data Scientists to solve complex business problems - Collaborate with business leaders to define and prioritize business problems and conceptualize data science solutions - Standardize and scale data science solutions to increase delivery efficiency - Collaborate with cross-functional teams to design and implement solutions meeting business requirements - Present findings to senior business stakeholders and ensure technical and professional development of junior team members - Develop expertise in the therapeutic area of interest and contribute to thought leadership through publications and presentations Minimum Qualifications: - Bachelor's degree with 8-10 years of industry experience - Extensive experience in healthcare analytics or consulting sectors - Strong Python/R, SQL, Excel skills - Strong foundation in statistics and machine learning Preferred Qualifications: - Advanced degree in STEM (MS, MBA, PhD) - Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics - Experience in End to End Program Management Join us in our mission to put patients first and bring breakthrough medicines to customers worldwide. We are committed to fostering an inclusive and diverse workplace where diverse ideas come together for innovative solutions. We are an equal opportunity employer and encourage respectful challenge and collective problem-solving. Apply now if you meet the qualifications and are passionate about making a difference in the world of healthcare analytics and data science.,

About the Opportunity: Join a dynamic leader in the education sector that leverages advanced data analytics to drive institutional excellence. Operating in a technology-driven environment, this high-growth organization empowers its teams with a comprehensive data strategy. As a critical part of the on-site team based in India, you will help transform data into actionable insights that support strategic decision-making. Role & Responsibilities: Develop, optimize, and maintain complex SQL queries to support data extraction and reporting. Analyze large datasets to identify trends, correlations, and actionable insights to drive business decisions. Design and implement data models and warehousing solutions to improve reporting accuracy and performance. Collaborate with cross-functional teams to understand data requirements and translate business needs into technical solutions. Create and maintain dashboards and visual reports to present insights to stakeholders. Ensure data integrity and implement best practices for data cleaning and transformation. Skills & Qualifications: Must-Have: Proficiency in SQL with proven experience in writing efficient queries and managing large datasets. Must-Have: 1-3 years of hands-on experience in data analysis and developing data models in a high-paced environment. Must-Have: Strong analytical skills. Benefits & Culture Highlights: Work in a collaborative and innovative on-site environment with opportunities for professional growth. Be part of a mission-driven team that values data-driven insights and continuous learning. Health Insurance. Provident Fund. If you are a detail-oriented SQL Data Analyst ready to leverage your analytical expertise in a vibrant, on-site setting in India, we encourage you to apply and join our transformative team.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage, and passion to drive life-changing impact to ZS. Our most valuable asset is our people. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What You'll Do Collaborate with client-facing teams to understand solution context and contribute to technical requirement gathering and analysis. Design and implement technical features leveraging best practices for the technology stack being used. Work with technical architects on the team to validate the design and implementation approach. Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors. Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, and participating in periodic design/code reviews. Write unit tests as well as higher-level tests to handle expected edge cases and errors gracefully, as well as happy paths. Use bug tracking, code review, version control, and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependencies. Consistently contribute to researching & evaluating the latest technologies through rapid learning, conducting proof-of-concepts, and creating prototype solutions. What You'll Bring Experience: 2+ years of relevant hands-on experience. CS foundation is a must. Strong command over distributed computing frameworks like Spark (preferred) or others. Strong analytical/problem-solving skills. Ability to quickly learn and become hands-on with new technology and be innovative in creating solutions. Strong in at least one of the Programming languages - Python or Java, Scala, etc., and Programming basics - Data Structures. Hands-on experience in building modules for data management solutions such as data pipeline, orchestration, ingestion patterns (batch, real-time). Experience in designing and implementing solutions on a distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP. Good understanding of RDBMS, with some experience on ETL is preferred. Additional Skills Understanding of DevOps, CI/CD, data security, experience in designing on a cloud platform. AWS Solutions Architect certification with an understanding of the broader AWS stack. Knowledge of data modeling and data warehouse concepts. Willingness to travel to other global offices as needed to work with clients or other internal project teams. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering Applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com,

As a global leader in assurance, tax, transaction and advisory services, EY hires and develops passionate individuals to contribute towards building a better working world. The culture at EY focuses on providing training, opportunities, and creative freedom to help individuals reach their full potential. EY believes in nurturing your career growth and offers limitless potential. Motivating and fulfilling experiences are provided throughout your career journey to support you in becoming your best professional self. The opportunity available is for the role of Associate-National-Business Consulting Risk-CBS - RM - Proj & Operations based in Mumbai. EY Consulting aims to transform businesses through the power of people, technology, and innovation with a client-centric approach. The Consulting division comprises Business Consulting, Technology Consulting, and People Advisory Services, all working towards creating long-term value for clients by addressing their strategic challenges. The key focus areas within the Consulting division include Enterprise Risk, Technology Risk, and Financial Services Risk. These areas help clients in identifying and managing risks effectively to support their business strategies and objectives. The role involves working on risk management CoE with an emphasis on technical excellence. To qualify for this role, candidates must possess a qualification in Risk Management. While prior experience is not mandatory, freshers are encouraged to apply. EY is looking for individuals who can collaborate effectively across client departments, adhere to commercial and legal requirements, and offer practical solutions to complex problems. The ideal candidates should be agile, curious, mindful, and able to maintain positive energy while being adaptable and creative in their approach. EY, with a large global presence and a strong brand reputation, offers a personalized Career Journey to its employees. The organization is dedicated to investing in the skills and learning of its workforce. EY promotes inclusivity and strives to create a balance that allows employees to excel in client service while focusing on their career development and well-being. If you believe you meet the criteria and possess the necessary skills, EY encourages you to apply to be a part of building a better working world. Apply now to join a dynamic team and contribute to EY's mission of driving positive change in the business landscape.,

The Salesforce Data Cloud Analyst will be instrumental in leveraging Salesforce Data Cloud for revolutionizing the utilization of customer data within the organization. This role is a part of the Data Cloud Business Enablement Team and is dedicated to constructing, overseeing, and enhancing the data unification strategy to drive business intelligence, marketing automation, and customer experience initiatives. You will be responsible for managing data models within Salesforce Data Cloud to ensure seamless data harmonization across diverse sources. Additionally, you will maintain data streams from different platforms into Data Cloud, such as CRM, SFMC, MCP, Snowflake, and third-party applications. Developing and refining SQL queries to convert raw data into actionable insights, as well as creating and managing data tables, calculated insights, and segments for organizational use, are integral aspects of this role. Collaboration with marketing teams to interpret business requirements into effective data solutions, monitoring data quality to uphold accuracy and reliability, and providing training and assistance to business users on leveraging Data Cloud capabilities are key responsibilities you will undertake. Furthermore, creating documentation for data models, processes, and best practices will be part of your routine tasks. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Systems, or a related field, along with 3+ years of experience working with Salesforce platforms. Possessing Salesforce Data Cloud certification and prior exposure to Customer Data Platforms (CDPs) are preferred. Proficiency in Tableau CRM or other visualization tools, a background in marketing technology or customer experience initiatives, and Salesforce Administrator or Developer certification are essential requirements for this position. Desired qualifications include advanced knowledge of Salesforce Data Cloud architecture, strong SQL skills, experience with ETL processes and data integration patterns, and an understanding of data modeling principles and best practices. Familiarity with Salesforce Marketing Cloud, MCI & MCP, APIs and data integration techniques, as well as knowledge of data privacy regulations and compliance requirements (GDPR, CCPA, etc.) are also advantageous. Demonstrated experience in data analysis and business intelligence tools, problem-solving abilities, and excellent communication skills will be beneficial for excelling in this role. Moreover, adaptability to new-generation technologies and trends, such as Gen AI and Agentic AI, is considered an added advantage. Novartis is dedicated to fostering an inclusive work environment and diverse teams that reflect the patients and communities served. The company is committed to collaborating with individuals with disabilities and providing reasonable accommodations during the recruitment process. If you require an accommodation due to a medical condition or disability, please contact diversityandincl.india@novartis.com with your request details and contact information. Remember to include the job requisition number in your message. Novartis offers a rewarding work environment where you can make a difference in the lives of people with diseases and their families. By joining Novartis, you will be part of a community of dedicated individuals working together to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future, visit https://www.novartis.com/about/strategy/people-and-culture to learn more about opportunities at Novartis. If this Novartis role is not suitable for you, you can join the Novartis talent community to stay informed about relevant career opportunities as they arise by signing up at https://talentnetwork.novartis.com/network. Additionally, you can explore Novartis" handbook to discover the various ways the company supports personal and professional growth at https://www.novartis.com/careers/benefits-rewards.,

As a Data Analyst specializing in Tableau and Snowflake, you will be responsible for creating and maintaining interactive Tableau dashboards and reports for key business stakeholders. Your role will involve developing, optimizing, and managing Snowflake data warehouse solutions to support analytics and reporting needs. Collaboration with data analysts, business users, and development teams will be essential to gather requirements and deliver effective data solutions. Your expertise in writing and maintaining complex SQL queries for data extraction, transformation, and analysis will be crucial in ensuring data accuracy, quality, and performance across all reporting and visualization platforms. Applying data governance and security best practices to safeguard sensitive information will also be part of your responsibilities. Active participation in Agile development processes, including sprint planning, daily stand-ups, and reviews, will be expected from you to contribute effectively to the team's goals. To excel in this role, you are required to have a minimum of 2-4 years of hands-on experience with Snowflake cloud data warehouse and Tableau for dashboard creation and report publishing. Strong proficiency in SQL for data querying, transformation, and analysis is essential, along with a solid understanding of data modeling, warehousing concepts, and performance tuning. Knowledge of data governance, security, and compliance standards, along with a bachelor's degree in Computer Science, Information Technology, or a related field, is necessary for this position. Experience with cloud platforms such as AWS, Azure, or GCP, a basic understanding of Python or other scripting languages, and familiarity with Agile/Scrum methodologies and development practices will be advantageous. This position of Data Analyst (Tableau and Snowflake) is based in Gandhinagar, with a flexible schedule and shift timings of either 3:30 PM - 12:30 AM or 4:30 PM - 1:30 AM, as per business needs.,

We are looking for a Lead Data Engineer with over 8 years of experience in data engineering and software development. The ideal candidate should possess a strong expertise in Python, PySpark, Airflow (Batch Jobs), HPCC, and ECL. You will be responsible for driving complex data solutions across multi-functional teams. The role requires hands-on experience in data modeling, test-driven development, and familiarity with Agile/Waterfall methodologies. As a Lead Data Engineer, you will be leading initiatives, collaborating with various teams, and converting business requirements into scalable data solutions using industry best practices in managed services or staff augmentation environments. If you meet the above qualifications and are passionate about working with data to solve complex problems, we encourage you to apply for this exciting opportunity.,

As a Salesforce Data Cloud Developer, you will be responsible for creating scalable and impactful data solutions on the Salesforce platform. Your role will involve working closely with various teams to convert data into actionable insights that contribute to business growth. Key responsibilities include designing, developing, and deploying solutions using Salesforce Data Cloud, configuring user settings and data security, and building Data Streams, Data Transforms, and Automation Workflows. You will also be tasked with creating and managing Segments, Activations, and Calculated Insights, translating business requirements into technical solutions, and staying updated with Salesforce releases and best practices. To excel in this role, you should have hands-on experience with Salesforce Data Cloud and the core Salesforce platform, a strong understanding of data modeling, integration patterns, and declarative tools, and expertise in Data Streams, Data Lake, Data Models, and advanced data analysis. Your communication skills should be excellent, enabling you to effectively engage with technical and business stakeholders. If you are passionate about leveraging real-time data, enhancing customer experiences, and implementing intelligent automation, this opportunity is tailored for you. Join us in harnessing the power of data to drive business success.,

Join our Offshore Service Engineering team at Siemens Gamesa and utilize your analytical skills to enhance the performance of wind turbines. You will be responsible for analyzing power generation data, supporting turbine upgrades, and investigating underperformance cases at both turbine and wind farm levels. Working closely with engineers, operations, and customer teams globally, you will provide technical insights and explore market opportunities for aftermarket solutions. Your proficiency in Python and MATLAB will be crucial in creating dynamic Power BI dashboards, automating analytics, and shaping future upgrade strategies. Your inquisitiveness, entrepreneurial spirit, and dedication to continuous improvement will be key in making a significant impact in the global renewable energy sector. Your responsibilities will include leading analytics to optimize energy production from turbines and offshore wind farms, conducting performance testing on upgrade solutions with Python and MATLAB, suggesting new test methods for aftermarket products, analyzing operational data to troubleshoot performance issues, developing automation tools and simulation models, and collaborating with various teams to drive improvements and implement new tools and procedures. We are looking for candidates with a bachelor's degree in Engineering, preferably in Mechanical or Aerodynamics, along with 3-5 years of technical experience in data analysis using Python, MATLAB, and Minitab. Proficiency in automatic control systems, electromechanical systems, and industrial instrumentation/testing is required, as well as knowledge of databases, SCADA systems, controller systems, and industrial communications. Strong skills in Power BI dashboard and data modeling, along with experience in technical support roles within the wind or electromechanical industries, are highly desired. A collaborative, proactive, and persistent approach is essential for success in this role, as you will be working in a multicultural and matrixed environment. As part of the Engineering Performance team, you will collaborate with various departments to deliver actionable analytics and drive innovation to enhance the performance of offshore wind assets. The team values open knowledge sharing, multicultural collaboration, and a shared commitment to enabling the global energy transition. Siemens Gamesa, a part of Siemens Energy, is dedicated to sustainable, reliable, and affordable energy solutions. With a focus on driving the energy transition and providing innovative wind turbine solutions, Siemens Gamesa is committed to making a difference in the energy sector. At Siemens Gamesa, diversity is celebrated, and inclusion is valued. The company promotes a culture of inclusion and creativity, where individuals from diverse backgrounds come together to generate power and energize society. Employees at Siemens Gamesa enjoy benefits such as medical insurance coverage, a family floater cover, meal card options, and tax-saving measures as per company policies. Join our team at Siemens Gamesa and be a part of the energy transformation. More information on careers at Siemens Gamesa can be found at https://www.siemens-energy.com/global/en/home/careers/working-with-us.html.,

As a Business Analyst specializing in Product & Pricing Master Data, you will play a crucial role in the large-scale Finance Transformation at a FTSE20 company resulting from the acquisition of Refinitiv by the LSEG in 2021. The finance organization has become complex due to operating on two Enterprise Resource Planning (ERP) systems - Oracle EBS (LSEG) and SAP ECC6 (Refinitiv), leading to dual business processes, control environments, and data structures. The organization has chosen Oracle Fusion as the single ERPM platform and is currently working on Global Design with PwC, the implementation partner. Your responsibilities will involve eliciting and analyzing business requirements from product owners and functions, identifying data needs across various product functions to enhance reusability and flexibility. You will be leading the conceptual design of comprehensive data models, integration methodology, and taxonomies to support product & pricing in Oracle Product Hub. Collaboration with multi-functional teams including finance, technology, operations, regulatory, sales, marketing, and product groups will be essential to ensure successful design and implementation of the Product Data model in the new platform. Furthermore, your role will include documenting data flows, entity relationships, and data dictionaries, identifying data integrity issues and proposing solutions, creating and maintaining data models using industry-standard tools and methodologies, organizing design workshops, establishing testing scope and test scripts for Product Hub, validating data models against business requirements and use cases, supporting implementation teams with guidance on data architecture, ensuring data models comply with privacy and security requirements, and ensuring scalability and reusability for the Product data model designs. To be successful in this role, you should have 5+ years of demonstrable experience in Product Modelling in Oracle Product Hub, 10+ years of experience in successful implementation of Product and Pricing Master data in large and complex programs, proven expertise in simplifying and standardizing complex product structures, experience in integrating product & pricing Data with Q2C processes, good stakeholder management skills, an open-minded approach to driving solutions, and a collaborative and positive attitude. Joining LSEG means being part of a diverse and inclusive organization of over 25,000 people across 70 countries. The company values individual perspectives and believes that a diverse workforce is a strength that fosters collaboration, creativity, and new ideas. LSEG offers a range of benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. Please note that this job description is subject to the privacy notice of the London Stock Exchange Group (LSEG) which outlines the use of personal information and data protection rights. If you are a Recruitment Agency Partner, it is your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.,

You are a Sr. Data Engineer with over 7 years of experience, specializing in Data Engineering, Python, and SQL. You will be a part of the Data Engineering team in the Enterprise Data Insights organization, responsible for building data solutions, designing ETL/ELT processes, and managing the data platform to support various stakeholders across the organization. Your role is crucial in driving technology and data-led solutions to foster growth and innovation at scale. Your responsibilities as a Senior Data Engineer include collaborating with cross-functional stakeholders to prioritize requests, identify areas for improvement, and provide recommendations. You will lead the analysis, design, and implementation of data solutions, including constructing data models and ETL processes. Furthermore, you will engage in fostering collaboration with corporate engineering, product teams, and other engineering groups, while also leading and mentoring engineering discussions and advocating for best practices. To excel in this role, you should possess a degree in Computer Science or a related technical field and have a proven track record of over 5 years in Data Engineering. Your expertise should include designing and constructing ETL/ELT processes, managing data solutions within an SLA-driven environment, and developing data products and APIs. Proficiency in SQL/NoSQL databases, particularly Snowflake, Redshift, or MongoDB, along with strong programming skills in Python, is essential. Additionally, experience with columnar OLAP databases, data modeling, and tools like dbt, AirFlow, Fivetran, GitHub, and Tableau reporting will be beneficial. Good communication and interpersonal skills are crucial for effectively collaborating with business stakeholders and translating requirements into actionable insights. An added advantage would be a good understanding of Salesforce & Netsuite systems, experience in SAAS environments, designing and deploying ML models, and familiarity with events and streaming data. Join us in driving data-driven solutions and experiences to shape the future of technology and innovation.,

You are an exceptional, innovative, and passionate individual looking to grow with NTT DATA. If you want to be part of an inclusive, adaptable, and forward-thinking organization, this opportunity is for you. As a Salesforce Datacloud & Agentforce Solution Architect, you will be responsible for designing, developing, and implementing AI-powered conversational experiences within the Salesforce platform. Your role will involve utilizing Agentforce capabilities to create automated customer interactions across various channels, leveraging strong technical skills in Salesforce development and natural language processing (NLP) to build effective virtual agents. Your core responsibilities will include architecting and building data integration solutions using Salesforce Data Cloud, unifying customer data from diverse sources. You will implement data cleansing, matching, and enrichment processes to enhance data quality, design and manage data pipelines for efficient data ingestion, transformation, and loading, and collaborate with cross-functional teams to translate business requirements into effective data solutions. Monitoring data quality, identifying discrepancies, and enforcing data governance policies will also be key aspects of your role. Minimum Skills Required: - Expertise in Salesforce Data Cloud features such as data matching, cleansing, enrichment, and data quality rules - Understanding of data modeling concepts and the ability to design data models within Salesforce Data Cloud - Proficiency in utilizing Salesforce Data Cloud APIs and tools for data integration from various sources - Knowledge of data warehousing concepts and data pipeline development Relevant Experience: - Implementing Salesforce Data Cloud for customer 360 initiatives - Designing and developing data integration solutions - Managing data quality issues and collaborating with business stakeholders - Building and customizing Agentforce conversational flows - Training and refining natural language processing models - Monitoring Agentforce performance and analyzing customer interaction data - Seamlessly integrating Agentforce with other Salesforce components - Thoroughly testing Agentforce interactions before deployment Skills to Highlight: - Expertise in Salesforce administration, development, and architecture - Deep knowledge of Agentforce features and configuration options - Familiarity with NLP concepts - Proven ability in conversational design and data analysis - Experience in designing, developing, and deploying solutions on Salesforce Data Cloud platform - Collaboration with stakeholders and building custom applications and integrations - Development and optimization of data models - Implementation of data governance and security best practices - Troubleshooting, debugging, and performance tuning Join NTT DATA, a trusted global innovator in business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team and a strong partner ecosystem, NTT DATA offers a range of services including business and technology consulting, data and artificial intelligence solutions, as well as application and infrastructure management. Be part of a leading provider of digital and AI infrastructure, transforming organizations and society for a digital future. Visit us at us.nttdata.com.,