2471 Data Integration Jobs - Page 29

Broadcom TDM Required Qualifications 3-5 years experience working as a data quality engineer Designs, builds, and maintains quality assurance processes in support of data analytics, integration, and reporting initiatives Develops data integration tests to ensure data meets intended use Works with business and technology to understand data requests and build or enhance processes and procedures to meet expected outcome Works in data integration QA tools such as Informatica, SSIS, SQL, SSRS, PowerBI, etc. Mandatory Skills: Broadcom TDM. Experience: 3-5 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: ServiceNow - System Administration.: Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Azure Data Engineering.: Experience: 3-5 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Oracle SQL. Experience: 3-5 Years.

The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Dataiku. Experience: 8-10 Years.

The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Data Governance. Experience: 8-10 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Telecom NMS Data Modelling South Bound Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Data Science Consulting Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google BigQuery Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Ipython Experience: 3-5 Years

We are looking for ETL Developers for our US-based Insurance customer project. Required Skills: Having a minimum of 3 - 8 years of experience in SSIS. Insurance Domain is Plus Secondary Skills: Oralce Database experience Optional: Attitude to take challenging tasks and risk mitigation planning Good Logical and Analytical skills, Ability to think out-of-the-box, Strong Technical Skills Good communication skills. Other tech Stacks: Informatica Data Integration ETL process Workflow Automation Graphical Tools knowledge Microsoft SQK Server Oracle Database - 12C / 18c Framework designing Interested applicant, pls respond with your resume to mohanaprasath.ponnusamy@kumaran.com

Required Skills: Having a minimum of 9+ years of experience in SSIS Architecting, Framework designing experience . Secondary Skills: Oralce Database experience Optional: Attitude to take challenging tasks and risk mitigation planning Good Logical and Analytical skills, Ability to think out-of-the-box, Strong Technical Skills Good communication skills. Other tech Stacks: Informatica Data Integration ETL process Workflow Automation Graphical Tools knowledge Microsoft SQK Server Oracle Database - 12C / 18c Framework designing

The PEX Report Developer role involves collaborating with fund accounting professionals and technology teams to create, maintain, and customize reporting statements using QlikView. You will be responsible for various tasks such as QlikView Dashboard Design & Development, working with SQL databases, integrating data from multiple sources, and optimizing data models for performance. The ideal candidate should have a Bachelor's degree in Computer Science and at least 2 years of experience with QlikView version 11 or higher. Key responsibilities include creating new reporting and dashboard applications using QlikView and NPrinting to facilitate better decision-making processes. You will work closely with stakeholders to gather requirements, develop prototypes, analyze business metrics, and maintain the QlikView environment. Additionally, you will be involved in mentoring team members, defining best practices, and providing end-user support for QlikView-related issues. The successful candidate should possess excellent communication skills, superior analytical abilities, and problem-solving skills. They should also have experience with complex QlikView functions, data security implementation, and administering QlikView environments. Familiarity with Agile software development concepts, process improvement, and SDLC methodologies is a plus. At GlobalLogic, we prioritize a culture of caring, continuous learning and development, interesting work assignments, work-life balance, and integrity. We offer a collaborative and inclusive work environment where you can build meaningful connections with teammates and leaders. As part of our team, you'll have opportunities for personal and professional growth, engaging projects that make an impact, and a healthy work-life balance. Join us at GlobalLogic, a trusted digital engineering partner known for creating innovative digital products and experiences for clients worldwide.,

As a People Analytics Specialist, you will work in close collaboration with the Regional HR Business Partner to integrate data from multiple systems for comprehensive analysis. Your role will involve partnering with business leaders to align HR strategies with operational goals. You will provide strategic HR guidance on workforce planning, talent development, and organizational design, presenting findings and data-driven recommendations to senior management and other key stakeholders. Staying up-to-date with the latest trends, tools, and best practices in people analytics and HR technology will be essential. You will be responsible for continuously improving data collection processes, reporting standards, and analytical techniques. Serving as the Single Point of Contact (SPOC) for all HR operational activities for the region, you will play a crucial role in ensuring seamless coordination. In the realm of People Metrics & Insights, you will measure and track key HR metrics to derive insights on workforce trends and business outcomes. Your duties will involve collecting, analyzing, and interpreting HR data related to employee performance, turnover, recruitment, engagement, training and development, attrition, and retention. Additionally, you will collaborate closely with HR teams to gather and analyze data, facilitating data-driven decisions in areas such as talent acquisition, employee engagement, and performance management.,

You will be a part of the SAP Returnship Program, which is specifically designed for applicants who have taken a career break of a year or more and are looking to re-enter the workforce. In this role as a Data Management Consultant at the Success Delivery Center, you will play a crucial role in supporting customers on their digital transformation journey by implementing Data Management solutions, including Data Migrations and Master Data Governance. Your responsibilities will involve being a part of project teams that deliver SAP Implementations for clients, with a focus on remote and offshore delivery. Your primary tasks will include acquiring and enhancing SAP Business AI skills to deliver AI offerings to customers, as well as increasing the adoption and consumption of various SAP AI solutions in customer use cases. To excel in this role, you should have hands-on experience, a good understanding of Data Management solutions, excellent communication skills for engaging in business discussions, and prior development experience would be an advantage. While some travel may be required based on customer needs, the emphasis will be on remote and offshore project delivery. You will join the Data Management Solution Area within BTP Delivery @ Scale, a team of over 100 professionals who work on a wide range of Data Management topics including Data Migration, Data Integration, Data Engineering, Data Governance, and Data Quality. The team operates with a strong focus on collaboration, learning, and development, recognizing individual contributions, and offering various benefits to choose from. As a part of SAP, a global leader in end-to-end business application software and related services, you will be working in an inclusive and diverse environment that values health, well-being, and flexible working models. SAP is committed to creating a workplace where everyone, regardless of background, can thrive and contribute their unique capabilities. As an affirmative action employer, SAP provides equal opportunities to all employees and offers accessibility accommodations to applicants with disabilities. Your role will be instrumental in helping SAP continue to innovate and support over 400,000 customers worldwide in working more efficiently and effectively. With a cloud-based approach, SAP aims to connect global industries, people, and platforms to ensure that every challenge is met with the right solution. By joining SAP, you will be part of a purpose-driven and future-focused team that believes in unleashing all talent and creating a more equitable world.,

The responsibilities of the Application Analyst (Finance Systems) at Atlas Corp. and Seaspan involve providing support for the company's core financial systems, which include NetSuite, Oracle EPM FCCS/PBCS, GTreasury, and Certify. The primary focus is on managing, configuring, and maintaining these applications to facilitate key financial and accounting processes. The analyst will engage in system analysis, project management, and continuous improvement efforts, collaborating closely with IT and finance teams to ensure that the systems align with the business requirements. The key responsibilities of the Application Analyst include: - Providing application support and systems analysis for financial applications, ensuring alignment with accounting, financial consolidation, budgeting, treasury management, and expense tracking processes. - Applying systems development life cycle theory to manage system setup, configurations, and updates while striving for continuous quality improvement. - Collaborating with cross-functional teams to identify, resolve, and implement system enhancements that improve efficiency and effectiveness. - Utilizing project management skills to assist with system upgrades, implementations, and enhancements, ensuring timely completion and alignment with business needs. - Analyzing and resolving system issues, maintaining high-quality standards, and ensuring compliance with financial reporting standards and internal policies. - Managing application-related issues through the IT ticketing system, troubleshooting, and escalating issues as needed to minimize disruptions. - Ensuring data integrity by managing data integration processes between financial applications to guarantee accurate data flow. - Providing training and support to finance users, ensuring effective system utilization and maintaining documentation for system processes. - Planning and prioritizing tasks efficiently to optimize the operation of financial systems, including regular maintenance and updates. - Employing critical thinking and problem-solving skills to make informed decisions and recommendations for system improvements or issue resolution. Requirements for this role include: - A Bachelor's degree in IT, Computer Science, Finance, or a related field, or equivalent experience. - Minimum of 3 years of experience supporting financial applications, with expertise in at least one of the following: NetSuite, GTreasury, or Oracle EPM (FCCS/PBCS). - Solid knowledge of systems analysis, systems development life cycle theory, and project management techniques. - Proven ability to work independently with minimal supervision while effectively collaborating with cross-functional teams. - Strong verbal and written communication skills, with the ability to communicate clearly and concisely. - Critical thinking and problem-solving skills, with the ability to make sound decisions. - Knowledge of financial reporting standards (GAAP, IFRS) and experience with data integration between financial systems. Job demands and physical requirements may include occasional after-hours support, international travel if necessary, and sufficient mobility to perform basic IT setup tasks.,

We are looking for a highly motivated and experienced Data and Analytics Senior Architect to lead our Master Data Management (MDM) and Data Analytics team. As the Architect Lead, you will be responsible for defining and implementing the overall data architecture strategy to ensure alignment with business goals and support data-driven decision-making. Your role will involve designing scalable, secure, and efficient data systems, including databases, data lakes, and data warehouses. You will evaluate and recommend tools and technologies for data integration, processing, storage, and analytics while staying updated on industry trends. Additionally, you will lead a high-performing team, foster a collaborative and innovative culture, and ensure data integrity, consistency, and availability across the organization. Our existing MDM solution is based on Microsoft Data Lake gen 2, Snowflake as the DWH, and Power BI managing data from most of our core applications. You will be managing the existing solution and driving further development to handle additional data and capabilities, as well as supporting our AI journey. The ideal candidate will possess strong leadership skills, a deep understanding of data management and technology principles, and the ability to collaborate effectively across different departments and functions. **Principle Duties and Responsibilities:** **Team Leadership:** - Lead, mentor, and develop a high-performing team of data analysts and MDM specialists. - Foster a collaborative and innovative team culture that encourages continuous improvement and efficiency. - Provide technical leadership and guidance to the development teams and oversee the implementation of IT solutions. **Architect:** - Define the overall data architecture strategy, aligning it with business goals and ensuring it supports data-driven decision-making. - Identify, evaluate, and establish shared enabling technical capabilities for the division in collaboration with IT to ensure consistency, quality, and business value. - Design and oversee the implementation of data systems, including databases, data lakes, and data warehouses, ensuring they are scalable, secure, efficient, and cost-effective. - Evaluate and recommend tools and technologies for data integration, processing, storage, and analytics, staying updated on industry trends. **Strategic Planning:** - Take part in developing and implementing the MDM and analytics strategy aligned with the overall team and organizational goals. - Collaborate with the Enterprise architect to align on the overall strategy and application landscape securing that MDM and data analytics fit into the overall ecosystem. - Identify opportunities to enhance data quality, governance, and analytics capabilities. **Project Management:** - Oversee project planning, execution, and delivery to ensure timely and successful completion of initiatives and support. - Monitor project progress and cost, identify risks, and implement mitigation strategies. **Stakeholder Engagement:** - Collaborate with cross-functional teams to understand data needs and deliver solutions that support business objectives. - Serve as a key point of contact for data-related inquiries and support requests. - Actively develop business cases and proposals for IT investments and present them to senior management, executives, and stakeholders. **Data/Information Governance:** - Establish and enforce data/information governance policies and standards to ensure compliance and data integrity. - Champion best practices in data management and analytics across the organization. **Reporting and Analysis:** - Utilize data analytics to derive insights and support decision-making processes. - Document and present findings and recommendations to senior management and stakeholders. **Knowledge, Skills and Abilities Required:** - Bachelor's degree in computer science, Data Science, Information Management, or a related field; master's degree preferred. - 10+ years of experience in data management, analytics, or a related field, with at least 2 years in a leadership role. - Management advisory skills, such as strategic thinking, problem-solving, business acumen, stakeholder management, and change management. - Strong knowledge of master data management concepts, data governance, data technology, data modeling, ETL processes, database management, big data technologies, and data integration techniques. - Excellent project management skills with a proven track record of delivering complex projects on time and within budget. - Strong analytical, problem-solving, and decision-making abilities. - Exceptional communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels. - Team player, result-oriented, structured, attention to detail, drive for accuracy, and strong work ethic. **Special Competencies required:** - Proven leader with excellent structural skills, good at documenting as well as presenting. - Strong executional skills to make things happen, not generate ideas alone but also getting things done of value for the entire organization. - Proven experience in working with analytics tools as well as data ingestion and platforms like Power BI, Azure Data Lake, Snowflake, etc. - Experience in working in any MDM solution and preferably TIBCO EBX. - Experience in working with Jira/Confluence. **Additional Information:** - Office, remote, or hybrid working. - Ability to function within variable time zones. - International travel may be required. Join us at the ASSA ABLOY Group, where our innovations make spaces physical and virtual safer, more secure, and easier to access. As an employer, we value results and empower our people to build their career around their aspirations and our ambitions. We foster diverse, inclusive teams and welcome different perspectives and experiences.,

The role of State Technical Head involves leading and managing the technical aspects of the Credit Department's operations to ensure efficiency and effectiveness. This includes overseeing the development and maintenance of credit-related software, systems, and technological infrastructure. Collaboration with cross-functional teams is essential to understand business requirements and translate them into technical solutions. Implementing and enhancing credit scoring models, algorithms, and decision-making tools are key responsibilities. Integration of new technologies to streamline credit processes and enhance data analytics capabilities is crucial for success. As a State Technical Head, you will manage and lead a team of technical professionals, providing guidance and support for their professional development. Collaboration with IT and security teams is necessary to ensure the security and compliance of credit-related systems. Evaluating and recommending emerging technologies to enhance the Credit Department's capabilities will be part of your role. Troubleshooting and resolving technical issues related to credit systems and applications, as well as providing technical expertise and support for credit-related projects and initiatives, are important responsibilities. To qualify for this role, candidates should have a Bachelor's or Master's degree in engineering or a related field, along with at least 5+ years of proven experience in a technical leadership role within the credit or financial services industry. In-depth knowledge of credit scoring models, risk analytics, and credit decisioning processes is required. Proficiency in programming languages and database management, as well as a strong understanding of data management, data integration, and data governance, are essential. Leadership and team management skills, along with excellent communication skills to convey technical concepts to non-technical stakeholders, are also important. Candidates should be familiar with cloud computing platforms and technologies, detail-oriented with a focus on system security and compliance, and have the ability to adapt to evolving technologies and industry best practices. Interested candidates meeting the specified criteria can share their CV at aamer.khan@herohfl.com. Please note that only individuals residing in the Mumbai region and possessing good knowledge about Mumbai region properties should apply for this position.,

The WRB Data Technology team at Standard Chartered Bank is seeking talented data professionals with relevant experience who can work in a global environment. As a member of this team, your primary responsibility will be to support data warehousing migration programs, align project timelines to ensure successful delivery, and provide support for data analysis, mapping, and profiling. Your role will involve interpreting use case requirements, designing target data models, and profiling data attributes to assess data quality and provide remediation recommendations. Additionally, you will be responsible for data modeling to enhance data integration within the data warehouse platform. Working independently, you will engage consultants and business analysts from other teams, escalate issues in a timely manner, and provide subject matter expertise to balance time-critical tasks with longer-term sustainability goals. You will collaborate with Chapter Lead and Squad Lead to lead projects successfully, manage stakeholders, transform business requirements into data requirements, design data models, create data mapping templates, and support data acceptance testing. Furthermore, you will be involved in providing direction on solutions from a standard product/architecture perspective, participating in key decision-making discussions, and supporting System Integration Testing (SIT) and User Acceptance Testing (UAT). To excel in this role, you should have 6-8 years of experience in the banking domain, basic understanding of tools like Clarity, ADO, Axess, and SQL, good communication and stakeholder management skills, and a graduate degree in computer science or a relevant field. Knowledge of writing complex SQL scripts, Base SAS, retail banking, wealth lending data, and data management and governance is highly desirable. You should be quick to learn, detail-oriented, and have experience in business analysis or data analysis roles. In addition to technical competencies, you are expected to display exemplary conduct, live by the Group's Values and Code of Conduct, and adhere to governance processes and policies. You will work closely with key stakeholders, including Country Credit Risk, Country Finance, WRB Product Owner, and Process Owners. Furthermore, you will have the opportunity to become a focal person for data across the bank globally and gain exposure to various parts of the bank's business model. This role at Standard Chartered Bank offers a dynamic environment where you can contribute to driving commerce and prosperity through your unique skills. If you are passionate about making a positive impact, challenging the status quo, and growing professionally, we encourage you to apply and be a part of our diverse and inclusive organization where everyone's talents are celebrated and valued.,

As a PL/SQL Developer with 3+ years of experience in Oracle / Postgres, you will be responsible for developing and maintaining database applications using the PL/SQL programming language. Your key roles and responsibilities will include designing and developing database schemas, stored procedures, functions, and triggers using PL/SQL. You will also be tasked with optimizing database performance by tuning SQL queries and PL/SQL code, as well as developing and executing test plans to ensure the quality and accuracy of the code. Your expertise will be crucial in troubleshooting and resolving issues related to PL/SQL code, implementing database security policies and procedures to safeguard the confidentiality and integrity of data. You should have a strong understanding of software development methodologies and best practices, along with quick problem-solving and analytical skills with attention to detail. Excellent project management skills are necessary to oversee multiple projects and meet deadlines effectively. Your fluency in English with exceptional written and verbal communication skills will be essential for effective collaboration within cross-functional teams. You will provide deployment support, object shipment, and support during any database deployment and integrated system upgrades. Furthermore, you will be responsible for database design, SQL querying, data integration, data modeling, data security, performance tuning, data validation and cleansing, reporting, query optimization, and documentation. Your ability to create and maintain database schemas, optimize SQL queries, integrate data from various sources, ensure data accuracy and consistency, and collaborate with business analysts and report developers for reporting and analytics purposes will be crucial for the success of the projects you will be involved in. Maintaining comprehensive documentation of database structures, schemas, and processes for future reference and team collaboration will also be an integral part of your role as a PL/SQL Developer.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a Lead Data Engineer at EY, you will play a crucial role in leading large scale solution architecture design and optimization to provide streamlined insights to partners throughout the business. You will lead a team of Mid- and Senior data engineers to collaborate with visualization on data quality and troubleshooting needs. Your key responsibilities will include implementing data processes for the data warehouse and internal systems, leading a team of Junior and Senior Data Engineers in executing data processes, managing data architecture, designing ETL processes, cleaning, aggregating, and organizing data from various sources, and transferring it to data warehouses. You will be responsible for leading the development, testing, and maintenance of data pipelines and platforms to enable data quality utilization within business dashboards and tools. Additionally, you will support team members and direct reports in refining and validating data sets, create, maintain, and support the data platform and infrastructure, and collaborate with various teams to understand data requirements and design solutions that enable advanced analytics, machine learning, and predictive modeling. To qualify for this role, you must have a Bachelor's degree in Engineering, Computer Science, Data Science, or related field, along with 9+ years of experience in software development, data engineering, ETL, and analytics reporting development. You should possess expertise in building and maintaining data and system integrations using dimensional data modeling and optimized ETL pipelines, as well as experience with modern data architecture and frameworks like data mesh, data fabric, and data product design. Other essential skillsets include proficiency in data engineering programming languages such as Python, distributed data technologies like Pyspark, cloud platforms and tools like Kubernetes and AWS services, relational SQL databases, DevOps, continuous integration, and more. You should have a deep understanding of database architecture and administration, excellent written and verbal communication skills, strong organizational skills, problem-solving abilities, and the capacity to work in a fast-paced environment while adapting to changing business priorities. Desired skillsets for this role include a Master's degree in Engineering, Computer Science, Data Science, or related field, as well as experience in a global working environment. Travel requirements may include access to transportation to attend meetings and the ability to travel regionally and globally. Join EY in building a better working world, where diverse teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate across various sectors.,

As an Associate Technical Product Analyst (EPBCS) at McDonald's Corporation in Hyderabad, you will be part of the Global Technology Enterprise Products & Platforms (EPP) Team, focusing on the Enterprise Performance Management (EPM) Enterprise Planning and Budgeting Cloud Solution (EPBCS) product area. Your role will involve providing technical guidance for developers and squad members, managing the output of internal/external squads, participating in roadmap and backlog preparation, and maintaining technical process flows and solution architecture diagrams. Your responsibilities will include collaborating with the Technical Product Management team in product roadmap and backlog preparation, analyzing existing business processes to identify opportunities for improvement, creating detailed requirements documents and user stories, and attending all product team ceremonies as a leader. You will also work on technical solutioning, feature development, troubleshoot integration systems, support incident management, and collaborate with other technology teams to ensure application service levels are maintained. To qualify for this role, you should have a Bachelor's degree in computer science or engineering, along with at least 3 years of EPBCS technical analyst experience. Knowledge of Agile software development processes, strong communication skills, and the ability to translate technical concepts into easily understandable language are essential. Preferred qualifications include experience in EPBCS implementation, financial processes, Oracle Financial Consolidation, and Close/ Enterprise Data Management cloud service. This is a full-time role based in Hyderabad, India, with a hybrid work mode. If you are a proactive and detail-oriented individual with a passion for technology and product management, we encourage you to apply for this exciting opportunity at McDonald's Corporation.,

The Deputy General Manager - Finance Master Data Lead at Bunge, reporting to the Global EDM Head, plays a crucial role in leading and supporting enterprise master data programs to drive Bunge's strategic initiatives encompassing Digital programs, Data Integration, and S4 Hana implementation for Finance data domain, including Cost center, GL, Profit center, and Company code. In this role, you will be accountable for overseeing the development of business solutions, ensuring Data Quality, and successfully implementing designed solutions across all geographic regions and Bunge's businesses. Your responsibilities will include collaborating with multiple stakeholders from Business, IT, and other areas globally to define and achieve mutually agreed outcomes within the master data domains. As a techno-functional expert in Master Data Management for Finance data type, you will work closely with Business Subject Matter Experts to understand detailed requirements for providing effective solutions, Business Data Owners to ensure alignment with domain priorities, and Business functional area leaders to ensure scope and deliverables meet business needs. You will collaborate with IT teams to gather requirements effectively, work alongside technical Solution Architects to ensure alignment with solution direction, engage with Bunge Business Services leaders to ensure globally standardized solutions, and coordinate with Delivery Partner teams to ensure high-quality delivery meeting business expectations. Key functions of this role include spearheading the end-to-end business requirements, engaging with stakeholders to gather requirements, defining project scope and deliverables, leading business UAT, managing large, complex global projects, and ensuring successful implementation of master data solutions without disrupting business processes. Additionally, you will build relationships with internal and external service providers, guide project teams, maintain an in-depth understanding of master data processes, lead Continuous Improvement initiatives, and contribute to strategic directions governing master data. To be successful in this role, you must have a minimum of 13-15 years of professional data management experience, including at least 8-10 years of experience in providing business solutions and working with SAP HANA & MDG/MDM. An educational background in CA, M.Com, ICWA, B.Tech, or MBA Finance is preferred. Moreover, you should possess hands-on knowledge of technologies such as SAP MDG, S4 HANA, Data Lake, Data Model, and MDM, as well as expertise in Master Data Management for Finance data type and experience with Data Dictionaries and Metadata management. Strong leadership, service delivery, and project management skills are essential for this role, along with the ability to work effectively in virtual teams across different cultures and time zones. Bunge, a world leader in sourcing, processing, and supplying oilseed and grain products, aims to create sustainable products and opportunities for farmers and consumers worldwide. With a global network and a dedicated workforce, Bunge is committed to feeding and fueling a growing world while upholding its values of innovation and sustainability.,

As an innovative technology company within the Salesforce ecosystem, Asymbl empowers businesses to shape the future of work by revolutionizing their operations, fostering innovation, and driving growth. Through flexible software solutions and strategic consulting, Asymbl aids organizations in streamlining workflows, enhancing efficiency, and achieving transformative results. At Asymbl, we nurture a culture defined by relentless curiosity and unwavering belief, grounded in trust and integrity. We are driven by a bias towards action, embracing the willingness to fail fast while remaining steadfastly customer-focused. Our commitment lies in fostering the potential of our people and ensuring a culture of continuous growth and learning. As a Salesforce Senior Solution Architect at Asymbl, you will play a pivotal role in leading the transformation of our clients" Salesforce ecosystem. Working at the forefront of technological innovation, you will collaborate with a dynamic and experienced team, leveraging your technical expertise to drive impactful solutions that support business growth. You will have the autonomy to influence business processes and technical strategy, contributing to a culture of learning and professional development. Key Responsibilities: Solution Design: - Design scalable and sustainable Salesforce solutions that align with business processes and integrate seamlessly with other systems. - Provide end-to-end technical guidance and leadership throughout the Salesforce implementation lifecycle. - Utilize Salesforce Sales Cloud, Service Cloud, Marketing Cloud, and other products to craft customized solutions. Technical Leadership: - Collaborate with development teams to implement tailored Salesforce solutions using APEX, Visualforce, Lightning Web Components, and integrations. - Review and enforce best practices in Salesforce development and deployment, including code reviews and performance optimization. - Serve as a subject matter expert (SME) to guide business and technical teams on Salesforce features, updates, and capabilities. Stakeholder Collaboration: - Work closely with cross-functional teams, including business analysts, project managers, and architects, to translate business requirements into actionable Salesforce solutions. - Engage with key business stakeholders to comprehend their goals and objectives, advising on leveraging Salesforce capabilities to achieve these goals. Integration and Customization: - Develop integrations between Salesforce and third-party applications using APIs, middleware, and data migration strategies. - Create custom solutions and workflows using Salesforce technologies to ensure seamless integration with existing enterprise systems. Governance and Best Practices: - Uphold Salesforce architectural standards and best practices, encompassing security, data management, and performance optimization. - Lead initiatives in Salesforce governance, ensuring compliance with data privacy regulations and internal security protocols. - Stay informed on Salesforce releases and emerging best practices to enhance the organization's Salesforce environment continuously. Mentoring and Development: - Mentor junior architects, developers, and Salesforce administrators, providing guidance and technical oversight. - Conduct technical workshops, training sessions, and knowledge-sharing activities to cultivate a culture of continuous learning within the organization. Required Qualifications: - Bachelor's degree in Computer Science, Information Systems, or a related field. - 7+ years of experience in architect or senior developer roles working with Salesforce. - Profound knowledge of Salesforce Sales Cloud, Service Cloud, Marketing Cloud, and Platform. - Proficiency in Salesforce Lightning, APEX, Visualforce, and Lightning Web Components. - Extensive experience with Salesforce integrations, including APIs, web services, and middleware. - Expertise in data modeling, data migration, and data integration. - Salesforce Architect certifications (e.g., Salesforce Certified Technical Architect, Salesforce Certified Application Architect) are highly desirable. - Excellent verbal and written communication skills, with the ability to engage and influence senior business and technical stakeholders. Preferred Qualifications: - Experience in Agile methodologies and project management practices. - Familiarity with other cloud-based platforms and enterprise solutions such as AWS, Azure, or SAP. - Experience in leading large-scale Salesforce implementations and managing teams in a fast-paced environment.,

The Qlik Sense Developer will be responsible for designing, developing, and deploying data visualizations and dashboards using Qlik Sense. You will need a combination of technical expertise in Qlik Sense, project planning skills, and the ability to collaborate with cross-functional teams to ensure successful project delivery. It is expected that you have hands-on experience in data visualization, analytics, and translating business requirements into actionable insights by working closely with stakeholders. Proficiency in data modeling, integration, and data engineering principles will be crucial for supporting and driving data-driven decision-making processes effectively. Your responsibilities will include planning and executing the migration of existing QlikView applications to Qlik Sense. You will need to analyze current QlikView reports and dashboards to understand data sources, data models, and user requirements. Developing and implementing migration strategies to ensure minimal disruption to business operations will be a key part of your role. As a Qlik Sense Developer, you will design and develop Qlik Sense applications and dashboards that meet business requirements and enhance user experience. Optimizing data models and visualization techniques to improve performance and efficiency will also be essential. You will be responsible for ensuring data integrity and accuracy throughout the migration process. Collaboration is a vital aspect of this role, as you will need to work with cross-functional teams, including business analysts, data engineers, and IT support, to ensure successful migration and implementation. Providing technical support and troubleshooting for Qlik Sense applications post-migration and training end-users and stakeholders on new Qlik Sense functionalities and best practices will also be part of your responsibilities. Documentation and reporting are crucial in this role. You will need to document migration processes, data models, and application designs for future reference and compliance. Additionally, preparing and presenting reports on migration progress, challenges, and solutions to management and stakeholders will be required to ensure transparency and effective communication.,