8601 Data Modeling Jobs

As a Data Engineer Architect/Data Architect with a minimum of 10 years of experience in data engineering or a related field, you will have a proven track record of leading large-scale data projects. Your responsibilities will include designing and implementing data architectures, data pipelines, and ETL processes. Previous experience in a leadership or management role within a data engineering team is essential for this position. You are expected to have expertise in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, and cloud platforms (e.g., AWS, Azure, GCP). A strong knowledge of data modeling, data warehousing, and data integration techniques is required. Experience with big data technologies and frameworks is highly desirable for this role. Your role will involve excellent leadership, mentoring, and team-building skills. You should possess strong strategic thinking and problem-solving abilities. Exceptional communication and interpersonal skills are crucial, with the ability to interact effectively with senior leadership and other stakeholders. A Bachelors degree in Computer Science, Engineering, Data Science, or a related field is required. A Masters degree or relevant certifications are preferred. Join us for a competitive salary and benefits package, along with the opportunity to lead a transformative data engineering practice within a dynamic and innovative organization. You will work in a collaborative environment with a focus on professional growth and development, with access to cutting-edge technologies and resources. Your key responsibilities will include developing and implementing a strategic vision for the data engineering practice, leading and growing a high-performing team of data engineers, designing and implementing scalable data architectures, managing and prioritizing multiple data engineering projects, establishing and enforcing data governance policies, and driving continuous improvement initiatives. If you are passionate about data engineering and have a strong background in leading data projects, this role offers an exciting opportunity to make a significant impact within our organization.,

As a Business Intelligence (BI) Developer at Google Cloud, you play a key role in promoting data-driven decision-making throughout the organization. Your responsibilities include designing, developing, and implementing robust BI solutions to offer actionable insights to leadership. This involves creating data marts, establishing efficient data pipelines, and automating reporting processes. Your expertise in transforming data into engaging visualizations will be essential in enabling stakeholders to comprehend the business impact of their decisions. Collaboration with cross-functional teams is vital to deliver high-quality data solutions that align with our growth objectives. Your qualifications should include a Bachelor's degree or equivalent practical experience, along with at least 2 years of experience in Business Intelligence or Data Analytics. Additionally, you should possess a minimum of 2 years of experience in SQL and Data Visualization using tools like Looker, Tableau, Power BI, Qlik, or similar technologies. Preferred qualifications for this role include proficiency in scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation. Experience with big data technologies like Hadoop, Spark, Python, or R is advantageous. Furthermore, expertise in explaining technical analysis to stakeholders, familiarity with data warehousing and data modeling concepts, and proficiency in cloud-based data platforms and related BI services are desirable. Effective communication of technical concepts to both technical and non-technical audiences is also a key skill set required for this role. Google Cloud empowers organizations globally to digitally transform their businesses and industries by providing enterprise-grade solutions utilizing cutting-edge technology. With customers in over 200 countries and territories, Google Cloud is the trusted partner for enabling growth and solving complex challenges. Join us in leveraging data to drive innovation and success across various industries and sectors.,

As a BI Analytics Engineer in the Agile Program Management office, you will be responsible for creating reporting and dashboarding solutions to provide actionable insights, support operational and strategic goals, foster a customer-centric culture, and drive organizational success through continuous improvement. Your primary focus will be on designing and developing Power BI reports and dashboards that align with the business and technology goals of the organization. To excel in this role, you will need to collaborate with stakeholders to gather and understand business requirements for data visualization and analysis. You will work with cross-functional teams to acquire, clean, and transform data for reporting purposes. Additionally, you will be tasked with creating complex DAX calculations and measures to facilitate data analysis while ensuring data security and compliance with industry standards and best practices. Troubleshooting and resolving issues in Power BI reports, providing training and support to end users, and staying up to date with the latest Power BI features and trends are also key responsibilities of this role. Successful candidates will demonstrate proficiency in Power BI development, strong communication and collaboration skills, and the ability to work both independently and as part of a team. Moreover, a strong understanding of data modeling and data visualization concepts, experience with SQL for data manipulation and extraction, and proficiency in data analysis/profiling, query generation, and performance optimization on traditional RDBMS and Data lake systems are essential for this position. Familiarity with data warehouse concepts, data modeling experience supporting OLTP and OLAP use cases, and knowledge of Data Analysis Expressions (DAX) for creating calculations are highly beneficial. The ideal candidate will possess a Bachelor's degree in a technology-related field with at least 4 years of relevant work experience, development experience with Power BI, and expertise in data analysis and modeling. Experience working with Agile methodology, globally distributed teams, and possessing Power BI certifications are preferred qualifications for this role. In summary, this role offers an exciting opportunity to leverage your skills and experience to drive data-driven decision-making and contribute to the success of the organization through innovative reporting and analytics solutions.,

As a Business Intelligence (BI) Developer, you will play a crucial role in driving data-driven decision-making within our organization. Your primary responsibility will involve designing, developing, and implementing robust BI solutions that deliver actionable insights to our leadership team. This will require you to architect data marts, establish efficient data pipelines, and automate reporting processes. Your proficiency in transforming data into compelling visualizations will be vital in enabling stakeholders to grasp the business implications of their decisions. Collaborating closely with cross-functional teams, you will be tasked with delivering top-notch data solutions that align with our growth objectives. Google Cloud is dedicated to accelerating digital transformation for all organizations by offering enterprise-grade solutions that leverage cutting-edge technology from Google. Our tools empower developers to build more sustainably, and customers in over 200 countries and territories trust Google Cloud as their partner in driving growth and overcoming critical business challenges. Key Responsibilities: - Collaborate with stakeholders to define and collect requirements for establishing KPI frameworks that effectively monitor revenue and evaluate the success of key business strategies. - Build a robust data infrastructure by developing SQL scripts, creating data sets, constructing analytical models, and designing user-friendly dashboards. - Translate raw data into actionable insights through the development of data models, data marts, and the automation of reporting processes, providing leadership with a clear overview of key business and process performance. - Take charge of assigned projects from inception to completion, ensuring that the data solutions you deliver offer pertinent, high-quality data and insights to drive business growth. Minimum Qualifications: - Bachelor's degree or equivalent practical experience. - 2 years of experience in Business Intelligence or Data Analytics. - 2 years of experience in SQL and Data Visualization tools such as Looker, Tableau, Power BI, Qlik, or similar technologies. Preferred Qualifications: - Proficiency in scripting languages like Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation. - Familiarity with big data technologies such as Hadoop, Spark, Python, or R. - Ability to articulate technical analysis to stakeholders effectively. - Knowledge of data warehousing or data modeling concepts. - Expertise in cloud-based data platforms and related BI services. - Strong communication skills to convey technical concepts to both technical and non-technical audiences. By applying for this position, you will have the chance to select your preferred working location from the following options: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India.,

You should be proficient in various technical aspects including SAC BI, SAP Cloud Analytics, SAP Datasphere/Data Warehousing Cloud, ETL tools, and SAP BI solutions like Lumira 2.0. Your role will involve data analytics tasks such as data extraction, cleansing, analysis, and the implementation of established analytics practices. It is essential to have the ability to deliver end-to-end solutions, encompassing integration, data modeling, and reporting. Project management skills are crucial as you will be responsible for overseeing software projects from initiation to delivery. Effective stakeholder engagement is key, requiring strong communication skills, conflict resolution abilities, negotiation expertise, and escalation management proficiency. Additionally, a background in business intelligence, particularly in the Pharma industry through technology contracting and consulting, is highly preferred.,

You should have at least 3+ years of relevant experience and possess the following skills: - Deep understanding and hands-on experience with Generative AI technologies such as GPT3, ML Ops, and Python. - Proficiency in Python programming language, with expertise in machine learning, deep learning, and natural language processing (NLP). - Ability to develop and implement generative AI models, with a strong grasp of deep learning techniques like GPT, VAE, and GANs. - Familiarity with Langchain and LLM. - Skilled in optimizing few-shot techniques to enhance LLM's performance for specific tasks, like personalized recommendations. - Capable of evaluating and optimizing LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and integrating the model into robust web applications. - Solid understanding of data structures, algorithms, and software engineering principles. - Experience working with vector databases, including RDBMS, MongoDB, and NoSQL databases. - Proficient in working with embeddings and distributed systems. - Experienced in building and running large-scale platforms. - Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. - Background as a data modeling ML/NLP scientist, with expertise in performance tuning, fine-tuning, RLHF, and performance optimization using ML toolkits like PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. - Proficient in integrating data from multiple sources, API design, and mapping data to schema using NoSQL databases such as HBase, ElasticSearch, and MongoDB. - Strong knowledge of AI/ML, particularly LLMs, and eager to apply this rapidly evolving technology. - Good understanding of Kubernetes and RESTful design. - Prior experience in developing public cloud services or open-source ML software is an advantage.,

As a Senior Data Engineer at Notified in Bangalore, you will play a crucial role in designing and implementing complex ETL processes using Informatica Intelligent Cloud Services (IICS). Your primary responsibility will be to extract, transform, and load data efficiently across multiple sources and destinations. You will be working closely with cross-functional teams to gather project requirements, develop ETL specifications, and ensure successful execution of data integration strategies. Your expertise in data warehousing concepts and techniques will be essential in designing and maintaining scalable, high-performing data models and schemas. In this role, you will also be responsible for ensuring real-time data synchronization to optimize system performance and enhance data-driven decision-making processes. Your ability to work with various data warehouses such as Snowflake, MSSQL, MySQL, and BigQuery will be key. Additionally, you will be involved in ongoing platform administration tasks including user management, data security, performance tuning, and system upgrades to ensure optimal performance and data reliability. As a part of the team, you will continuously explore and adapt to new technologies and methodologies in the data engineering space, fostering a culture of innovation and continuous improvement. Troubleshooting and resolving integration issues within the Informatica platform while maintaining the highest level of data quality and integrity will also be part of your responsibilities. Your proactive approach in maintaining and optimizing existing ETL processes, identifying areas for improvement, and aligning them with the organization's strategic goals will be crucial. To be successful in this role, you should have 6-8 years of experience in Informatica application integration (IICS), data integration, ETL jobs, Snowflake, and SQL, preferably in large and complex data environments. A strong knowledge of Informatica PowerCenter, IDQ, and IICS is mandatory. Additionally, you should have experience in SQL query writing, building data warehousing models, data marts, stored procedures & views for front-end reporting. A bachelor's degree in computer science, Engineering, or a related field is required, with a master's degree being preferred. Basic knowledge of Snowflake DB, experience with Salesforce, ServiceNow, or ConnectWise data, and real-time data synchronization are good to have. Familiarity with Tableau/PowerBI & Snowflake, BigQuery tools is a plus. Strong leadership, communication, and problem-solving skills are essential for this role. At Notified, we are committed to creating a more connected world by providing the tools needed to amplify stories. We believe in helping people and brands share their stories globally and strive to deliver wisdom and insight to our clients. As an equal opportunities employer, we celebrate and support differences to build success.,

Genpact is a global professional services and solutions firm that is committed to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are driven by curiosity, agility, and the desire to create lasting value for our clients. Our purpose is the relentless pursuit of a world that works better for people, and we serve and transform leading enterprises, including the Fortune Global 500, through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently inviting applications for the position of Life Sciences Analytics Manager, Data Engineer. As a Data Engineer at Genpact, you will play a crucial role in leading business intelligence and analytics projects for a life sciences account. Your responsibilities will include collaborating with business stakeholders to deliver end-to-end business intelligence and analytics solutions. Key Responsibilities: - Delivering business solutions on the analytics platform through end-to-end implementation, encompassing data security, governance, cataloging, preparation, automated testing, and data quality metrics. - Contributing to the development of high-performing platform/product DevOps agile teams. - Automating, optimizing, migrating, and enhancing existing solutions. Qualifications we are looking for: Minimum qualifications: - Bachelor's degree in Engineering, Computer Science, IT, or related fields. - Extensive experience in AWS, Scala, Python, Spark, and PL/SQL within the life sciences analytics domain. - Relevant experience in the IT industry. - Hands-on experience in data engineering, covering data ingestion, preparation, curation, provisioning, automated testing, and quality checks. - Proficiency in Big Data, Analytics, Big Data cloud platforms, Data Lakes, and Data Warehouses. - Strong understanding of RDBMS and Data Warehousing concepts. - Experience in writing code in Spark engine using Python, Scala, or Java. - Proficiency in AWS Services like Glue, CloudWatch, EMR, S3, SNS, SQS, Athena, Lambda, and Step functions. - Ability to perform data modeling, data analysis, and derive insights using various tools. - Experience in agile methodologies and collaboration tools like Jira and Confluence. - Strong analytical skills and the ability to assess impacts. - Ability to work both independently and in a team-based environment. - Effective communication and interpersonal skills. Preferred qualifications: - Demonstrated personal drive and positive work ethic to deliver results within tight deadlines and demanding situations. - Flexibility to adapt to various engagement types, working hours, environments, and locations. - Excellent communication and negotiation skills. If you are passionate about data engineering, analytics, and working in a dynamic and innovative environment, we encourage you to apply for the role of Life Sciences Analytics Manager, Data Engineer at Genpact.,

As an experienced Data Engineer, you will be responsible for handling data transformation and ETL processes on large datasets. With over 10 years of experience in this field, you will design customer-centric datasets including CRM, Call Center, Marketing, Offline, and Point of Sale data. Your expertise in Data Modeling, including Relational, Dimensional, Columnar, and Big Data models, with 5+ years of experience will be crucial for this role. Your proficiency in complex SQL or NoSQL, along with advanced Data Warehouse concepts, will be essential in ensuring efficient data processing. Experience with industry-standard ETL tools such as Informatica and Unifi will be beneficial. You will also be involved in defining business requirements, structured analysis, process design, and use case documentation. Your experience with Reporting Technologies like Tableau and PowerBI, coupled with professional software development skills, will be utilized in delivering high-quality solutions. Strong organizational skills and the ability to handle multiple customer projects simultaneously are key requirements for this position. Effective verbal and written communication skills are necessary as you will be interacting with the Sales team and leading customers towards successful outcomes. Being self-managed, proactive, and customer-focused are qualities that will be highly valued in this role. A degree in Computer Science, Information Systems, Data Science, or related field is required. Special consideration will be given if you have experience and knowledge of Adobe Experience Cloud solutions, Digital Analytics, Digital Marketing, programming languages like Python, Java, or Bash scripting, and Big Data technologies such as Hadoop, Spark, Redshift, Snowflake, Hive, and Pig. Previous experience as an enterprise technical or engineer consultant will be an advantage in this position.,

As an Analyst in Marketing/Consumer Insights, you will play a crucial role in contributing to the team's efforts to derive actionable insights from large quantitative and qualitative datasets. By leveraging analytical tools such as MS Office, Alteryx, Tableau, and PowerBI, you will be responsible for creating powerful data visualizations. Your primary objective will be to deliver high-quality outputs within allocated timelines to regional stakeholders, with guidance from supervisors. In this role, you will be expected to generate comprehensive hypotheses and insights, and prioritize solutions for key issues using various tools and techniques, including industry research, data modeling, and presentations. Additionally, you will support and drive the automation of analysis by utilizing AI and advanced analytics tools. Collaboration is key, as you will be working closely with your team members, providing and seeking actionable feedback during interactions. To be successful in this position, you should hold a Bachelor's or Post Graduate degree in Marketing, Business, Statistics, or a related field. An MBA or advanced degree is preferred. With a minimum of 3-6 years of relevant experience, ideally in management consulting or data analytics related to market/business/consumer insights, preferably within Consumer Products/Retail industry domains, you should have strong communication skills to engage with senior stakeholders effectively. Proficiency in analytical tools like Alteryx, Tableau, and Power BI is essential, while knowledge of Python, R, and SPSS would be advantageous. Strong skills in Microsoft Excel and PowerPoint are necessary, and familiarity with AI-based solutions is a plus. The ability to handle multiple tasks, work well under pressure, and be a team player are qualities that will further enhance your success in this role. Moreover, experience within the Food/Beverage Industry and/or Global Business Services (GBS) organizations would be considered a bonus. If you possess excellent analytical skills, effective communication abilities, and a collaborative mindset, this role offers you the opportunity to make a significant impact within the organization.,

You should have a minimum of 4 years of experience and be available to join immediately or within 15 days. Your responsibilities will include: - Designing and mapping data models to convert raw data into meaningful insights. - Using Power BI to create interactive and visually appealing dashboards and reports. - Identifying key performance indicators with appropriate objectives. - Analyzing historical and current data to support decision-making processes. - Converting business requirements into technical documentation. - Creating multi-dimensional data models. - Documenting algorithms, parameters, and models effectively. - Conducting in-depth analysis of tested and deployed Power BI scripts. - Writing and executing DAX queries and functions in Power BI. - Defining and designing new systems. - Managing data warehouse development. - Implementing technical and strategic changes to enhance existing business intelligence systems. - Identifying requirements and developing customized charts accordingly. - Proficiency in SQL querying for optimized results. - Strong data analytics skills. - Knowledgeable in SQL and data modeling techniques. - Expertise in developing Power BI dashboards. - Applying critical thinking for effective problem-solving. Please note that this job description is referenced from hirist.tech.,

A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Application Evolution Services team will provide you with the opportunity to help organizations harness the power of their enterprise applications by optimizing the technology while driving transformation and innovation to increase business performance. We assist our clients in capitalizing on technology improvements, implementing new capabilities, and achieving operational efficiencies by managing and maintaining their application ecosystems. We help our clients maximize the value of their Workday investment by managing the support and continuous transformation of their solutions in the areas of human resources, talent management, and finance operations. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this, we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Delegate to others to provide stretch opportunities, coaching them to deliver results. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Use a broad range of tools and techniques to extract insights from current industry or sector trends. - Review your work and that of others for quality, accuracy, and relevance. - Know how and when to use tools available for a given situation and can explain the reasons for this choice. - Seek and embrace opportunities that give exposure to different situations, environments, and perspectives. - Use straightforward communication, in a structured way, when influencing and connecting with others. - Be able to read situations and modify behavior to build quality relationships. - Uphold the firm's code of ethics and business conduct. Minimum Degree Required: Bachelor's Degree Preferred Field(s) of Study: Minimum Year(s) of Experience Required: 3 years Certification(s) Preferred Preferred Knowledge/Skills: - Demonstrates a thorough level of abilities with, and/or a proven record of success as both an individual contributor and team member with focus on deep expertise, continuous execution, throughput and quality. - Proficient in overseeing a support ticketing queue with multiple open items, demonstrating strong written and oral communication skills. - Capable of leading client status meetings and extracting relevant metrics. - Handles client relationships, confirming effective communication. - Offers functional and/or technical subject matter expertise. - Directs process redesign efforts. - Leads technical and test teams for the implementation of functionality. - Provides recommendations to change activities to confirm business adoption and provides effective user training. - Manages the complete project lifecycle to confirm timely project delivery. - Meets with stakeholders throughout the organization to confirm a comprehensive set of requirements, aligned to business objectives, gaining a complete understanding of current and future state business processes. - Provides in-depth knowledge of the Workday application and evaluates the customers processes against the standard Workday functionality. - Demonstrates experience in the use of Workday in a support/AMS environment. - Documents the business requirements which express what actions a solution should take and what outcome is expected. - Is responsible for fixes and enhancements to the application to achieve the customer's business requirements. - Has industry experience and understands challenges and risks when providing professional services and supporting vertical applications and localizations. Experience in: - Security - Reporting - Business process/ withholding order - Run categories - Benefits - Absence / time off Familiar with and experienced in: - Core application functionality - Implementation Methodology - Application technology stack - ITIL process knowledge/understanding is highly preferred. Demonstrated ability to: - Analyze and understand business problems - Model data and processes - Conduct workshops and training sessions - Plan and carry out system and user acceptance testing.,

You will be responsible for analyzing and documenting current business processes, including identifying pain points with input from STS business owners, service leads, and business report development users. You will determine how proposed solutions will impact existing work processes and systems, and manage the integration of new processes or functionality. As a part of your role, you will plan and facilitate testing, including User Acceptance Testing (UAT), and may need to provide guided UAT testing. Your responsibilities will also include leading requirements validation and traceability analysis to ensure that IT enhancements and project demands are successfully delivered with anticipated results. You will be expected to create support documentation for rollouts, develop PowerPoint presentations for webinars, and conduct training sessions as needed. Working closely with the Project Manager, you will demonstrate proficiency in using MS Office applications such as Word, PowerPoint, Excel, and Visio, along with data visualization tools like PowerBI, Tableau, or similar software. Strong written and oral communication skills are essential for this role, along with proven analytical and problem-solving abilities, including impact analysis, gap analysis, and problem troubleshooting skills. You should be well-versed in UML, Use-Cases, and Data Modeling, and have a good understanding of Agile Methodology. Your ability to effectively articulate ideas and solutions relevant to both business and technology is crucial. You should be adaptable, quick to learn, and able to execute tasks seamlessly. In this role, you will be required to provide detailed status reports, monitor progress and quality effectively, and maintain a keen eye for detail while understanding the big picture. Self-motivation, negotiation skills, and the ability to manage expectations across the board are important. Active participation in reviews and interpretation of all documentation, including business requirements, functional specifications, and design specifications with team leads, is expected. The ideal candidate should be able to work independently, communicate project status effectively with the designated point of contact, and possess skills in effective communication, Tableau, PowerBI, Agile Methodology, data visualization tools, UML, User Acceptance Testing (UAT), requirements gathering, project management, process documentation, business requirements analysis, gap analysis, data modeling, UAT coordination, and business analysis.,

As the Enterprise Data Architect, you play a critical role in our organization by designing, managing, and implementing data frameworks that support our strategic goals. Your responsibility includes crafting an architecture that ensures data accuracy, availability, and security across all data-related initiatives. You will collaborate with various stakeholders, including IT teams, data analysts, and business leaders, to align data solutions with business requirements and identify opportunities for data integration and optimization. Your deep technical knowledge paired with a strategic mindset will enable you to address complex data challenges and foster a culture of data-driven decision-making. You will be a key influencer in adopting best practices in data management and governance, driving efficiency and innovation while ensuring compliance with regulatory requirements. Your ability to analyze and interpret vast amounts of data is essential for our organization's growth and sustainability, making a significant impact on our overall performance. Your key responsibilities will include designing and implementing enterprise data strategy and architecture, developing and maintaining data models that align with business needs, ensuring data integrity, quality, and consistency across various platforms, collaborating with cross-functional teams to define data requirements, leading the development of data governance policies and standards, implementing best practices in data architecture and management, facilitating data migration projects and system integrations, evaluating and selecting appropriate data technologies and tools, monitoring and assessing the effectiveness of data solutions, documenting architecture designs, processes, and standards, providing technical guidance and support to data teams, staying current with industry trends in data technology and management, conducting training sessions on data best practices for staff, advising on data security measures and compliance requirements, and engaging with stakeholders to communicate architecture vision and progress. To be successful in this role, you should have a Bachelor's degree in Computer Science, Information Technology, or a related field, at least 5 years of experience in data architecture or related roles, strong knowledge of database technologies such as SQL and NoSQL, experience with cloud platforms (e.g., AWS, Azure, Google Cloud), familiarity with ETL tools and big data technologies (e.g., Hadoop, Spark), certification in data management or architecture (e.g., CDMP, CDBL), proven experience in data governance and compliance frameworks, strong analytical, problem-solving, and communication skills, experience with data visualization tools (e.g., Tableau, Power BI), ability to manage multiple projects and prioritize tasks effectively, familiarity with Agile project management methodologies, understanding of data security practices and data privacy laws, experience collaborating with various teams and stakeholders, ability to translate business requirements into technical specifications, and proficiency in programming languages such as Python or Java is a plus. Your skills should include proficiency in programming languages, database management, communication skills, Power BI, Google Cloud, Java, Agile methodologies, Azure, problem-solving, cloud platforms, NoSQL, ETL tools, data governance, data visualization tools, analytical skills, data architecture, Tableau, project management, enterprise data, database technologies, SQL, Spark, AWS, Hadoop, data modeling, big data technologies.,

As a Senior Manager, Salesforce AI Technical Architect at Genpact, you will play a crucial role in leading the design, implementation, and deployment of Salesforce solutions to meet business objectives and best practices. You will be responsible for integrating Salesforce with other systems, utilizing Agentforce for AI-driven customer service, implementing Salesforce Chatbots for enhanced customer engagement, and leveraging Einstein AI to develop intelligent solutions that drive business value. Additionally, you will apply Data Science methodologies to analyze complex business problems, generate actionable insights, and implement Generative AI models to enhance business processes and customer experiences. Your responsibilities will include overseeing the deployment of Salesforce solutions into production environments, collaborating with cross-functional teams to understand requirements, providing technical leadership and mentorship to development teams, and staying updated with the latest Salesforce features and technologies. You will need to have a Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field, along with relevant years of experience as a Salesforce Technical Architect. Salesforce certifications such as Salesforce Certified Technical Architect, Salesforce Certified AI Specialist, or equivalent are required, as well as hands-on experience with Apex, Lightning Web Components (LWC), platform configuration, data modeling, and integrations. To excel in this role, you should have expertise in Agentforce, Salesforce Chatbot, Einstein AI, Data Science, and Generative AI models. Strong background in Data Science, including experience with data analysis, statistical modeling, and machine learning techniques is essential. Your ability to design scalable, maintainable, and robust Salesforce solutions, along with excellent problem-solving skills and effective communication with technical and non-technical stakeholders, will be critical for success in this position. If you are passionate about Salesforce, possess the necessary technical skills, and have a strong desire to create lasting value for clients, we invite you to apply for the role of Senior Manager, Salesforce AI Technical Architect at Genpact. Join us in our relentless pursuit of a world that works better for people, and be part of a global professional services firm that is transforming leading enterprises with innovative solutions and deep industry knowledge.,

As the Data Warehousing and Reporting Engineering Lead, you will play a crucial role in driving our data and reporting strategy to support key business areas such as Finance, Compliance, Anti-Financial Crime, Risk, and Legal. Your primary responsibilities will include defining and implementing the data warehousing and reporting strategy, leading the design and development of data warehousing solutions using platforms like Snowflake, Teradata, Hadoop, or equivalent technologies, and collaborating with cross-functional teams to curate data marts tailored to their specific needs. You will be responsible for developing and optimizing data models to ensure efficient data storage and retrieval, thereby enabling high-quality business intelligence and reporting. Additionally, ensuring data accuracy, consistency, and security across all data repositories and reporting systems will be a key aspect of your role. Leading and mentoring team members to foster a culture of collaboration and innovation will also be part of your responsibilities. To be successful in this role, you should have a background in Computer Science, Data Science, Engineering, or a related field, along with extensive experience in data warehousing platforms such as Snowflake, Teradata, Hadoop, or similar technologies. Proven expertise in data modeling, data communication, and curating data marts to support business functions is essential. You should also possess a solid understanding of relational and non-relational database systems, experience with data integration tools and ETL processes, and strong problem-solving skills to design scalable and efficient solutions. In addition, you should demonstrate strong leadership skills with experience in managing and mentoring high-performing technical teams. Effective interpersonal skills are also crucial for collaborating with both technical and non-technical partners. Preferred skills for this role include experience supporting Finance, Compliance, Anti-Financial Crime, Risk, and Legal data strategies, working with large-scale enterprise data ecosystems, familiarity with cloud-based data warehousing environments and tools, as well as knowledge of data governance, compliance, and regulatory requirements. Join us at LSEG, a leading global financial markets infrastructure and data provider, where our purpose is driving financial stability, empowering economies, and enabling sustainable growth. At LSEG, you will be part of a diverse and dynamic organization that values your individuality and encourages new ideas. Together, we are committed to re-engineering the financial ecosystem to support sustainable economic growth. Explore the exciting opportunities at LSEG and be part of our collaborative and creative culture. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. If you are ready to make a difference and drive innovation in data warehousing and reporting, join us at LSEG and be part of our journey towards sustainable economic growth.,

In Norconsulting, we are currently seeking a Data Architect to join our team in Chennai for a freelance opportunity with a major Banking organization. This is a long-term assignment based in Chennai, India, offering a daily rate of 150 USD (approximately 3300 USD monthly) for full-time work (8 hours/day, Monday to Friday). The ideal candidate for this role should possess a strong understanding of Data Modeling, Data Architecture, and technology systems. Key responsibilities include designing, developing, migrating, integrating, and configuring a robust Data Warehouse solution. This involves analyzing client operations, applications, and programming to determine database structural requirements, in addition to reviewing objectives with clients and evaluating current systems. The Data Architect will define the database's physical structure and functional capabilities to meet data integration requirements, security protocols, backup procedures, storage needs, and recovery specifications. Collaboration with business clients to comprehend their needs and requirements, as well as maintaining client relationships as necessary, is essential. Furthermore, the candidate will engage with various IT teams within the organization to ensure that the application fulfills all bank and stakeholder requirements. This involves considerations such as security, redundancy, storage, performance, mobile readiness, and reporting capabilities. Building stakeholder consensus, developing business cases, enterprise architecture blueprints, and detailed plans are also part of the responsibilities. The Data Architect should possess the ability to identify multiple solutions for a problem and recommend the most suitable option based on measurable factors. Managing and documenting issues and actions, providing overall support for the Analysis, Design, Development, and Deployment of the Data Warehouse solution, and assisting in training stakeholders on Data Architecture and modeling are crucial aspects of the role. Other responsibilities include preparing and delivering presentations to project stakeholders and management using tools like MS PowerPoint and Visio, evaluating new products or initiatives for required technology support, assessing gaps between current and desired IT environments, proposing recommendations based on industry best practices, and estimating work effort and completion timelines. This is a challenging yet rewarding opportunity for a Data Architect to contribute significantly to the success of a major banking organization.,

Join us as an Assistant Vice President (AVP) - Business Analyst (Data Designer) at Barclays, where you will play a pivotal role in leading the evolution of our digital landscape, driving innovation and excellence. Your primary focus will be on leveraging cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. In this role, you will be evaluated based on critical skills essential for success, such as proficiency in data design compliance with best practices, governance, and security policies, data profiling and analysis, and data design specifications. You will also be expected to possess job-specific skill sets. To excel as an AVP - Business Analyst (Data Designer), you should have experience in: - Designing and developing detailed data models, schemas, and database designs. - Understanding data requirements and translating them into effective data designs and data flows. - Optimizing data structures for performance and scalability aligned with business objectives. - Conducting data profiling and analysis to identify data quality issues and propose solutions. - Maintaining data design specifications and data dictionaries. - Proficiency in SQL and familiarity with database management systems such as Oracle, SQL Server, MySQL, Kafka, AWS, etc. Desirable skill sets or qualifications include: - A Bachelor's degree in Business Administration, Data Science, or a related field. - Proven experience in data modeling, database design, and data governance frameworks. - Knowledge of data warehousing concepts and tools. - Basic understanding of the financial crime domain. - Excellent communication skills to engage with both technical and non-technical stakeholders. This role will be based in Pune. Purpose of the role: As an AVP - Business Analyst (Data Designer) at Barclays, your primary responsibility is to lead the development and execution of the bank's Data & Analytics strategy. This strategy should align with the bank's overall business goals and risk appetite, ensuring that data is effectively utilized to drive business growth, optimize operations, and mitigate risks. Accountabilities: - Drive the enablement of Business or Function Unit Strategy through fostering a comprehensive understanding of data usage and bringing thought leadership on best practices. - Ensure adherence to data policies, standards, and controls to drive Data Quality in support of use cases. - Collaborate with Business or Function leadership to define and prioritize data use cases, business data products, and their implementation for tangible benefits. - Prioritize activities related to Data and Analytics while challenging the overall end-to-end design and architecture. As an Assistant Vice President, you are expected to: - Advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. - Lead a team in performing complex tasks, set objectives, and coach employees to meet those objectives. - Demonstrate leadership behaviors that create an environment for colleagues to thrive and deliver excellent results. - Collaborate closely with other functions and business divisions to achieve common goals and objectives. - Consult on complex issues and provide advice to support the resolution of escalated matters. - Take ownership in managing risk, strengthening controls, and developing new policies/procedures to support governance. - Engage in complex analysis of data from multiple sources to solve problems creatively and effectively. - Communicate complex information and influence stakeholders to achieve desired outcomes. At Barclays, we value Respect, Integrity, Service, Excellence, and Stewardship, and expect all colleagues to embody these values. Additionally, we encourage the Barclays Mindset of Empower, Challenge, and Drive as our operating manual for behavior.,

The job description will be updated once the information is available. In the meantime, please refer to the qualifications section for details on the requirements for this position.,

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Data Domain Architect Lead - Vice President within the Finance Data Mart team, you will be responsible for overseeing the design, implementation, and maintenance of data marts to support our organization's business intelligence and analytics initiatives. You will collaborate with business stakeholders to gather and understand data requirements, translating them into technical specifications. You will lead the development of robust data models to ensure data integrity and consistency, and oversee the implementation of ETL processes to populate data marts with accurate and timely data. You will optimize data mart performance and scalability, ensuring high availability and reliability, while mentoring and guiding a team of data mart developers. Lead the design and development of data marts, ensuring alignment with business intelligence and reporting needs. Collaborate with business stakeholders to gather and understand data requirements, translating them into technical specifications. Develop and implement robust data models to support data marts, ensuring data integrity and consistency. Oversee the implementation of ETL (Extract, Transform, Load) processes to populate data marts with accurate and timely data. Optimize data mart performance and scalability, ensuring high availability and reliability. Monitor and troubleshoot data mart issues, providing timely resolutions and improvements. Document data mart structures, processes, and procedures, ensuring knowledge transfer and continuity. Mentor and guide a team of data mart developers if needed, fostering a collaborative and innovative work environment. Stay updated with industry trends and best practices in data warehousing, data modeling, and business intelligence. Required qualifications, capabilities, and skills: - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Extensive experience in data warehousing, data mart development, and ETL processes. - Strong expertise in Data Lake, data modeling and database management systems (e.g., Databricks, Snowflake, Oracle, SQL Server, etc.). - Leadership experience, with the ability to manage and mentor a team. - Excellent problem-solving skills and attention to detail. - Strong communication and interpersonal skills to work effectively with cross-functional teams. Preferred qualifications, capabilities, and skills: - Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud). - Familiarity with advanced data modeling techniques and tools. Knowledge of data governance, data security, and compliance practices. - Experience with business intelligence tools (e.g., Tableau, Power BI, etc.). Candidates must be able to physically work in our Bengaluru Office in evening shift - 2 PM to 11 PM IST. The specific schedule will be determined and communicated by direct management.,

As an OIPA Developer / Configurator, you will collaborate closely with members of the Development, business, and technical teams to assess and maintain existing business and technical requirements utilized for configuring the OIPA system. Your main focus will be on addressing issues related to data, interfaces, integrations, or cycles. Your responsibilities will include evaluating specifications for complex business requirements and processes, both new and existing, and developing technical solutions and related documentation. You will conduct functional gap analyses, review design documents, and actively participate in design reviews. Furthermore, you will interpret architectural and technical design documents to create complex OIPA transactions and processes by employing best practice configuration techniques. In this role, you will design logical queries to support calculations, reporting, and intricate formulas. You will also be tasked with researching and rectifying defects, developing Technical Design Documents, and conducting code reviews. Additionally, you will be responsible for developing AsFile, Real-time, and Push integration services, as well as researching system capabilities for integrating product, service, and technical solutions to benefit business partners. Your expertise in REST services implementation, entity-based logical modeling, and data throughput optimization will be crucial. It is essential that you strictly adhere to established OIPA integration best practices and demonstrate proficiency in working under Agile project methodologies. A solid understanding of database concepts, SQL query building, and optimization is also required. Familiarity with insurance life and health products for individual, group, and worksite markets is preferred, as well as experience in configuring life or health products using OIPA V10 or V11. Expertise in XSLT and OIPA configuration will be an added advantage. Basic Qualifications: - Possess 5+ years of experience in Oracle Insurance Policy Administration Development and Integrations (OIPAI, SOA, or MuleSoft). Preferences/Nice to have: - Knowledge of Oracle SOA and BPM. Education: - Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, Computer Science, or relevant field, or equivalent practical experience.,

As the Head of Data & Analytics at OneMagnify India, you will be responsible for leading and scaling the data function. You will serve as the strategic anchor for both onsite client engagements and offshore delivery. Your role will be pivotal in developing a Center of Excellence (CoE) for Data & Analytics, where you will mentor teams, build capabilities, and drive business growth through valuable analytics solutions. Additionally, you will collaborate with global and India leadership to shape the company's growth journey and identify cross-selling opportunities with key accounts. You bring a wealth of expertise in the entire data lifecycle and analytics field, with a focus on translating insights into tangible outcomes. Leading with influence, you excel in building high-performing and scalable delivery teams. As a strategic operator, you will mentor talent, shape practice direction, and support go-to-market activities. Your collaborative nature thrives in a cross-functional environment, and you strongly believe in India's potential as a capability and innovation hub. Furthermore, your command of AI/ML technologies will be instrumental in integrating advanced data science into marketing and business operations. In your role, you will lead the Data & Analytics practice in India, overseeing both onsite engagements and global in-house delivery. You will guide a team of over 50 onsite and offshore data professionals, promoting technical excellence, collaboration, and continuous improvement. Building, scaling, and optimizing a Center of Excellence for data engineering, reporting, business intelligence, and AI will be key responsibilities. You will act as the primary subject matter expert and escalation point for data delivery in India, providing thought leadership and overseeing delivery operations. Collaborating with global teams, you will identify and enable cross-sell and up-sell opportunities, support pre-sales activities, client pitches, and proposal development for data projects and analytics initiatives. Defining and standardizing best practices for data modeling, quality, automation, and agile delivery processes will be essential. You will also drive internal capability building in advanced analytics, visualization tools, and platforms, while representing OneMagnify India's data capabilities to clients, prospects, and global leadership. Staying updated on emerging AI technologies, data science techniques, and industry innovations will be crucial to driving differentiation in client delivery. To be successful in this role, you should have 15+ years of experience in Data & Analytics, with a proven track record of leading data practices or delivery teams. Your expertise should span BI, reporting, data engineering, and cloud platforms, and you should possess a strong understanding of data lifecycle, analytics frameworks, and agile development. Experience in working with onsite-offshore models in enterprise environments is essential, as is the ability to lead cross-functional teams, mentor talent, and influence executive stakeholders. An entrepreneurial mindset, excellent communication skills, and experience in leading data and analytics teams focused on marketing performance, customer insights, or personalization at scale are also required. Your track record of translating complex analytical findings into actionable business strategies and measurable ROI improvements will be key to your success in this role.,

We are looking for an experienced Data Analytics Engineer specializing in Snowflake with a minimum of 4 years of experience. As an integral member of our data engineering team, you will be responsible for the design, development, and maintenance of data pipelines, working with large datasets in Snowflake. The ideal candidate will also possess skills in PowerBI for data visualization and reporting. You will assist in building, optimizing, and scaling data workflows, contributing to the improvement of data architecture across the organization. Key Responsibilities: - Design & Develop Data Warehouses: Architect and maintain Snowflake Data Warehouses, ensuring optimal performance, scalability, and security. - ETL Development: Build, implement, and manage ETL pipelines to extract, transform, and load data from multiple sources into Snowflake environments. - Schema Design: Create and maintain Snowflake schemas, tables, views, and materialized views to support a wide range of business use cases. - Optimization & Tuning: Perform query optimization, data partitioning, and other techniques to enhance performance and reduce costs. - Collaboration: Work closely with Data Engineers, Data Scientists, and Business Analysts to understand data needs, share insights, and improve data flows. - Data Integration & Automation: Automate data integration workflows, repetitive tasks, and report generation, improving operational efficiency. - Data Governance & Security: Ensure data integrity, security, and compliance with established data governance policies and industry best practices. - Troubleshooting & Issue Resolution: Identify and resolve performance issues or anomalies within the Snowflake environment, ensuring smooth operations. - Platform Upgrades & Migration: Assist in upgrading Snowflake platforms and data migration efforts, maintaining minimal disruptions. Required Skills: - 4+ years of experience with Snowflake Data Warehouse development and management. - Proficiency in SQL and SnowSQL, with a deep understanding of ETL processes and data integration techniques. - Strong expertise in data modeling, schema design, and performance optimization within the Snowflake platform. - Experience working with cloud-based platforms such as AWS, Azure, or GCP. - Familiarity with data pipeline orchestration tools like dbt, Airflow, or similar. - Strong problem-solving skills and ability to optimize complex queries and workflows. - Solid understanding of data governance, security protocols, and best practices in a cloud-based environment. Preferred Skills: - Certification in Snowflake or other relevant cloud technologies. - Familiarity with PowerBI for data visualization, reporting, and dashboard creation. - Knowledge of additional programming languages like Python or Java for enhancing data pipelines. - Experience working with data visualization platforms such as Tableau, Looker, or others. - Exposure to data lakes and advanced data integration techniques. If you're a passionate ETL Developer looking for the next step in your career, join us and make an impact on the data landscape of our organization!,

As a Power BI Developer, you will be responsible for understanding business requirements in the BI context and designing data models to transform raw data into meaningful insights. You will create dashboards and interactive visual reports using Power BI, identifying key performance indicators (KPIs) and consistently monitoring them. Your role will involve analyzing data and presenting it through reports that aid decision-making. Additionally, you will be converting business requirements into technical specifications, creating relationships between data, and developing tabular and multidimensional data models. Chart creation and data documentation explaining algorithms, parameters, models, and relations will also be part of your responsibilities. To excel in this role, you should possess a Bachelor's degree in Computer Science, Business Administration, or a related field, along with a minimum of 6 to 8 years of experience in visual reporting development. You must have at least 6 years of Power BI development experience, expertise in SQL Server, and excellent Microsoft Office skills, including advanced Excel skills. Strong analytical, quantitative, problem-solving, and organizational skills are essential, along with attention to detail and the ability to coordinate multiple tasks, set priorities, and meet deadlines. Apply now for the Power BI Developer position in Nagpur/Pune if you are passionate about creating impactful data visualizations and driving insights through analytics. If you are an experienced professional with 6 to 8 years in the field of Business Intelligence, consider applying for the Power BI Lead role in Nagpur/Pune. You will be responsible for understanding business requirements, creating dashboards and visual reports, identifying key KPIs, and analyzing data to aid decision-making. Data cleansing, data quality processes, and developing data models will be key aspects of your responsibilities. Your skills in Analyzes Service, building Tabular & Multidimensional models, and Power BI development experience will be crucial for success in this role. For those with 8+ years of experience in Business Intelligence and a proven track record as a Power BI Architect, we have an exciting opportunity in Nagpur/Pune. As a Power BI Architect, your responsibilities will include collaborating with business stakeholders to understand reporting and analytics requirements, designing end-to-end Power BI solutions, developing data integration pipelines, and creating visually appealing reports and dashboards. Performance optimization and enhancing user experiences will be key focus areas in this role. If you are passionate about innovation, growth, and high-impact careers, and possess the required skills and experience, we invite you to apply for the Power BI Architect position and be part of a dynamic team that thrives on learning and development opportunities. Join us in creating a collaborative work environment that fosters growth and success for all team members.,

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,