2449 Data Integration Jobs

The Customer Excellence Advisory Lead (CEAL) endeavors to empower customers to maximize their data utilization through top-tier architectural guidance and design. As a part of the Oracle Analytics Service Excellence organization, our team comprises Solution Architects specializing in Oracle Analytics Cloud, Oracle Analytics Server, and Fusion Data Intelligence. Our primary objective is to ensure the successful adoption of Oracle Analytics by engaging with customers and partners globally to build trust in Oracle Analytics. Additionally, we collaborate with Product Management to enhance product offerings and share insights through various channels such as blogs, webinars, and demonstrations. The ideal candidate will collaborate with strategic FDI customers and partners, providing guidance for optimized implementation and developing a Go-live plan focused on achieving high usage. Responsibilities: - Proactively identify customer requirements and address unmet needs by developing potential solutions across diverse customer groups. - Assist in formulating complex product and program strategies based on customer interactions, and successfully implement scalable solutions and projects for customers in complex, multiple enterprise environments. - Collaborate with customers and internal stakeholders to communicate the strategy, synchronize solution implementation timelines, provide updates, and adjust plans according to evolving objectives in a timely manner. - Prepare for and address complex product or solution-related inquiries or challenges that customers may present. - Gather and convey detailed product insights based on customer needs and requirements. - Promote understanding of customer complexities and the value propositions of various programs to key internal stakeholders through various communication channels. Primary Skills: - Minimum of 4 years of experience with OBIA and Oracle Analytics. - Strong knowledge of Analytics RPD design, development, and deployment. - Understanding of BI/data warehouse analysis, design, development, and testing. - Extensive experience in data analysis, data profiling, data quality, data modeling, and data integration. - Proficiency in crafting complex queries and stored procedures using Oracle SQL and Oracle PL/SQL. - Skilled in developing visualizations and user-friendly workbooks. - Previous experience in developing solutions incorporating AI and ML using Analytics. - Experience in enhancing report performance. Desirable Skills: - Experience with Fusion Applications (ERP/HCM/SCM/CX). - Ability to design and develop ETL Interfaces, Packages, Load plans, user functions, variables, and sequences in ODI to support both batch and real-time data integrations. - Worked with multiple Cloud Platforms. - Certification in FDI, OAC, and ADW. Qualifications: Career Level - IC3 About Us: Oracle, a world leader in cloud solutions, utilizes cutting-edge technology to address current challenges. With over 40 years of experience, we have partnered with industry-leading organizations in various sectors and continue to thrive through integrity. We believe that true innovation flourishes when everyone can contribute. Hence, we are dedicated to fostering an inclusive workforce that provides opportunities for all. Oracle careers offer global opportunities with an emphasis on work-life balance. We provide competitive benefits, including flexible medical, life insurance, and retirement options, ensuring parity and consistency. Furthermore, we encourage employees to engage in volunteer programs that benefit their communities. We are committed to including individuals with disabilities in all stages of the employment process. If you require accessibility assistance or accommodation for a disability, please email accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

At PwC, our team in business application consulting specializes in providing consulting services for various business applications to help clients optimize their operational efficiency. As a member of this team, you will analyze client needs, implement software solutions, and offer training and support to ensure seamless integration and utilization of business applications. By specializing in SAP technology at PwC, you will focus on utilizing and managing SAP software and solutions within an organization. Your responsibilities will include tasks such as installation, configuration, administration, development, and support of SAP products and technologies. With a strong sense of curiosity, you are a dependable and collaborative team player. In our dynamic work environment, you are expected to adapt to working with diverse clients and team members, each presenting unique challenges and opportunities for growth. Taking ownership and consistently delivering high-quality work that adds value for our clients and contributes to team success are key aspects of your role. As you progress within the Firm, you will establish a strong professional reputation, opening doors to further opportunities for development and advancement. Key Skills and Responsibilities: - Design, develop, and test ETL workflows using Informatica. - Provide support for day-to-day operations and monitoring of ETL jobs. - Collaborate with data analysts and business teams to gather requirements. - Document mappings, data flows, and job schedules. - Participate in code reviews and unit testing. - Troubleshoot issues with data loads and resolve failures. Required Skills: - 2-5 years of experience in Informatica-based ETL development. - Strong understanding of SQL and relational databases. - Exposure to job scheduling and monitoring tools. - Basic knowledge of data warehousing concepts. Preferred Skills: - Experience with cloud platforms such as AWS or Azure. - Familiarity with data governance tools and practices. - Proficiency in Agile delivery and DevOps practices. - Knowledge of integration with SAP or Oracle systems. - Informatica certifications are a plus. Educational Qualification: BE / B Tech / ME / M Tech / MBA / B.SC / B. Com / BBA Work Location: India In this role, you will play a crucial part in leveraging technology to drive business success and efficiency, working closely with a diverse team to deliver innovative solutions and meet client needs effectively.,

As an experienced professional in data management, analytics, or a related field, you will play a crucial role in developing and implementing a comprehensive Customer Data Platform (CDP) strategy aligned with clients" business goals. Your strategic ownership will involve advocating for the benefits of a composable or Enterprise CDP approach, educating stakeholders on its flexibility and scalability advantages. You will evaluate and select best-of-breed solutions for data ingestion, management, activation, and other CDP functionalities while fostering strong collaboration across Marketing, Sales, IT, and Customer Success to ensure alignment and adoption. Your technical expertise will be key in overseeing the integration of various CDP components, ensuring seamless data flow and functionality. You will define data governance strategies and security protocols for the CDP ecosystem, leveraging your deep understanding of composable/Enterprise CDP architecture and its key principles. To excel in this role, you should possess a minimum of 7+ years of experience in data management, analytics, or a related field, with a proven track record of successfully leading and implementing complex data projects, preferably involving composable architecture. In-depth knowledge of Customer Data Platforms (CDPs) and composable CDP principles is essential, along with a strong understanding of data architecture, data governance, and data privacy regulations such as GDPR and CCPA. Excellent communication and presentation skills are necessary, as you will be required to influence stakeholders at all levels and collaborate with cross-functional teams to ensure alignment of CDP implementation with overall business objectives. Experience managing and leading a team to achieve common goals, as well as familiarity with data integration tools, technologies, cloud platforms, and APIs, will be advantageous in this role.,

You are an experienced Senior ETL Developer with over 8 years of expertise in ETL, including exposure to EDW/Data Integration tools. Your role will involve analyzing, designing, developing, and enhancing ETL solutions and data integration projects. You will be responsible for troubleshooting, debugging, and diagnosing ETL/BI data issues, as well as collaborating with users, BI, and ERP teams to implement ETL solutions. Your responsibilities will also include performance tuning and enhancing data loads, SQL, and ETL processes, along with maintaining quality control and documenting technical specifications. You will provide support for production-related ETL schedules and tasks, ensuring timely resolution of data refresh issues. Strong experience in writing/tuning SQL statements, Oracle PL/SQL stored procedures, ADF, DevOps/CI/CD processes, and working with DBAs for performance tuning is essential. Additionally, you should have experience developing software applications as part of a team, troubleshooting data warehouse refresh issues, and validating BI reports data with source systems. Knowledge of Oracle EBS ERP and experience with Cognos/Power BI is preferred. Strong interpersonal and communication skills are required to effectively interact with peer groups within IT/BI teams and management. You should possess independent problem-solving skills, a willingness to learn and acquire new skills, and be vigilant against potential scams during the recruitment process. Offers and communication from the recruiting team will originate from the @hitachisolutions.com domain email address, and any communication from other domains may not be legitimate. For more information on Hitachi Solutions, please visit: https://web.hitachi-solutions.com,

As a Senior ETL Developer with over 8 years of experience in ETL, you will be responsible for analyzing, designing, developing, and enhancing ETL solutions and data integration projects. Your expertise in data warehouse architecture, dimensional modeling, and star schema designs will be crucial in ensuring the success of the projects assigned to you. You will work closely with users, BI, and ERP teams to troubleshoot, debug, and diagnose ETL/BI data issues, as well as to develop and implement ETL solutions. Your role will also involve performance tuning and enhancement of data loads, SQL, and ETL processes, along with preparing technical documentation and maintaining quality control. In addition, you will be required to provide support for production-related ETL schedules, tasks, and data refresh issues within stipulated time frames/SLAs. Your strong experience in writing/tuning SQL statements, Oracle PL/SQL stored procedures, ADF, and DevOps/CI/CD processes will be essential for the successful execution of your responsibilities. Furthermore, your ability to work with DBAs to monitor and resolve SQL/ETL issues, experience with software application development as part of a team, and proficiency in troubleshooting data warehouse refresh issues and BI reports data validation will be highly valued in this role. Preferred qualifications include experience working with Oracle EBS ERP, Cognos/Power BI, and independent problem-solving skills. To excel in this position, you should possess strong interpersonal and communication skills to interact positively with peer groups within IT/BI teams and management. Your willingness to learn and acquire new skills will also be key to your success in this dynamic role. For more information on Hitachi Solutions, please visit: https://web.hitachi-solutions.com,

Join us at Gnapi Technologies as a seasoned Full Stack Tech Lead / Architect and take on the exciting opportunity to lead the development of innovative multi-tenant SaaS products, including mobile apps and web portals. In this role, you will be responsible for designing a robust architecture that harmonizes functional and non-functional requirements, prioritizing user experience, compliance, security, and performance. Your expertise will guide our tech teams in front-end, back-end, DevOps, cloud, and security to create scalable solutions compliant with regulations such as HIPAA. As an Architectural Leader, you will establish excellence in architecture, ensuring that B2C mobile application architectures make use of technologies like React Native, React.js, and Python for maintainability, reusability, and testability. You will implement rigorous security frameworks for healthcare applications in compliance with OWASP Top 10 and architect Azure-native applications utilizing extensive knowledge of Azure services. Developing a robust data architecture supporting both transactional and analytical needs using SQL and NoSQL databases will be a key part of your role, along with a strong understanding of Cloud Services spanning across network, security, databases, and AI services. Your role will also involve Performance Optimization where you will apply advanced techniques throughout the application stack to enhance user experience under diverse network conditions. You will optimize applications for various devices and environments while providing technical guidance and mentorship to front-end developers, promoting high standards in code quality and architectural practices. Data Integration will be another critical aspect of your role, ensuring seamless integration between front-end components and back-end services through RESTful APIs and GraphQL. You will need to have proven experience as a full stack developer or application architect, working with technologies like Javascript (ReactJs, Typescript), Python, and mobile app development for Android and iOS platforms. Your extensive experience with Microsoft Azure, including Azure Active Directory and Azure DevOps, will be highly valuable in this role. Preferred qualifications include prior experience in Utility or Telecom IT projects and knowledge of additional cloud services such as AWS and Google Cloud for scalable hosting. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required for this full-time position at Gnapi Technologies.,

At PwC, our team in operations consulting specializes in providing consulting services to optimize operational efficiency and effectiveness. You will analyze client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and enhance business performance. Specifically in connected supply chain at PwC, your focus will be on optimizing supply chain operations and improving end-to-end visibility and collaboration. You will closely collaborate with clients to analyze supply chain processes, identify improvement areas, and develop strategies to enhance efficiency, reduce costs, and increase responsiveness. Your role will involve providing guidance on technology and data analytics to create a connected and agile supply chain network. PwC's Operations Transformation Product Development & Manufacturing (PD&M) team partners with clients across diverse industries to address critical business challenges and drive transformation in product design, engineering, and manufacturing. The team delivers impact through strategic advisory and implementation services in Strategy & Operations, Digital Manufacturing, Digital Engineering, and Connected Products & Solutions (CP&S). In this role, you are expected to have knowledge in manufacturing processes, including familiarity with shop floor operations, equipment, production processes, batch recordkeeping, deviation management, and regulatory compliance. Experience with Manufacturing Execution Systems (MES) tools like Tulip and Apriso is preferred. Additionally, understanding basic supply chain concepts, project management, change management, industrial IoT & data analytics, ERP & Quality Management Systems are essential. Strong analytical thinking skills are required to translate business needs into technical solutions. You should be able to work independently and coordinate validation activities across cross-functional teams. Collaboration with leadership, delivering engagements, supporting project and client management, and producing high-quality deliverables are key aspects of this role. Effective verbal and written communication across various scenarios and audiences, managing resistance to change, and addressing user concerns are crucial skills. Understanding industry regulations and ensuring compliance of Tulip deployments with standards like CSV and GxP is important. Experience with Tulip platform configuration, coding, and data integration is a plus. The ideal candidate should have a Bachelor's Degree in a related field from Tier 1 colleges, and an MBA in Operations is preferred. For the role of Associate, 2-4 years of prior relevant work experience aligned with the required knowledge and skills is required. For the role of Senior Associate, 4-6 years of prior relevant work experience is preferred.,

You are a highly skilled SQL Developer with over 4 years of experience in SQL Database and database technologies. Your expertise includes proficiency in Extract Transform Load (ETL) processes and writing complex T-SQL queries, stored procedures, views, and functions to support application features and data transformations. You will be responsible for working on data migration projects, including data mapping, cleansing, transformation, and validation from legacy systems to modern platforms. Hands-on experience with MS Excel is a must for this role. In this role, you will play a key part in designing, developing, and optimizing enterprise-grade applications that handle large volumes of structured data. You will integrate these applications with multiple systems and support complex data transformation logic. Collaboration with analysts and stakeholders to understand data requirements and deliver accurate, high-performance solutions is a crucial aspect of this position. You will also be responsible for optimizing existing queries and processes for performance and scalability. Additionally, you will perform unit testing and assist in QA for data accuracy and system reliability. Your skills in Data Integration and ensuring data quality and consistency will be essential for the success of data processing and support of the overall data architecture. If you have familiarity with Accounting applications, it would be considered a plus. Excellent problem-solving and analytical skills, as well as the ability to work independently, are key attributes for this role.,

Global Technology Solutions (GTS) at ResMed is dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations. The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency. The Global Technology Solutions (GTS) Team is currently seeking a seasoned and strategic Business Analyst (Marketing) to define and steer the continuous improvement of the marketing environment within the healthcare sector. This critical position will involve managing the comprehensive analysis, integration, and scalability of key marketing solutions, including CMS, PIM, CRM, MAP, Enterprise Search, DAM, and CDP. The Business Analyst will ensure these systems operate harmoniously to facilitate impactful marketing campaigns, boost customer engagement, and support business goals while complying with strict healthcare regulations. The ideal candidate will possess profound technical expertise in marketing platforms and integration methods, along with a thorough understanding of marketing principles and the specific requirements of the healthcare industry. The candidate should be a strategic visionary with exceptional analytical and problem-solving skills, capable of converting business needs into reliable and scalable solutions. Additionally, superior communication and collaboration skills are necessary to effectively interact with cross-functional teams and stakeholders. Responsibilities: - Design and uphold comprehensive analysis for the marketing environment, ensuring scalability, security, and integration across all applications. - Create and document analytical blueprints, standards, and best practices for marketing deployments. - Assess and propose new marketing technologies and solutions that meet business requirements and analytical standards. - Ensure compliance with applicable healthcare regulations in the analysis and architecture of marketing solutions. - Lead seamless integrations among primary marketing applications and outline data flows and integration methods to maintain data consistency. - Set and uphold governance policies and standards for the usage and management of marketing platforms. - Monitor the health and performance of the marketing ecosystem, identifying and resolving potential bottlenecks or issues. - Mediate and resolve technical conflicts, conduct technical training sessions, and facilitate effective technical collaboration. - Coordinate with technical team members and stakeholders working across multiple time zones, ensuring alignment on architectural decisions. Qualifications And Experience: Required: - Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is a plus. - Minimum of 4 years of experience in designing and implementing enterprise-level marketing technology solutions. - Deep architectural understanding and hands-on experience with specific MarTech platforms. - Strong understanding of integration patterns, API architectures, and data integration tools. - Excellent analytical and problem-solving skills, strong communication, presentation, and interpersonal skills. - Proven ability to provide technical leadership and guidance, familiarity with cloud platforms and data analytics concepts. Preferred: - Experience working within the healthcare industry, with a strong understanding of healthcare data security and compliance requirements. Joining ResMed means discovering a career that is challenging, supportive, and inspiring. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace. If you are looking for a workplace that values excellence, innovation, and inclusivity, apply now! We commit to respond to every applicant.,

NTT DATA is looking to hire an experienced Mulesoft Business Analyst - Functional Consultant Lead Consultant to be a part of their team in Bangalore, Karnataka, India. As a highly skilled Business Analyst with 6-8 years of experience, you will play a crucial role in the MuleSoft Healthcare project team. Your responsibilities will include collaborating with healthcare stakeholders to gather requirements, analyze business needs, and design solutions that utilize MuleSoft's capabilities to enhance healthcare services. Your key responsibilities will involve working closely with stakeholders to gather and document business requirements, analyze existing business processes within the healthcare domain, and recommend solutions to improve efficiency and effectiveness. You will also be responsible for designing and implementing MuleSoft integrations that connect various healthcare systems, ensuring that integration solutions meet business requirements and adhere to industry standards. In addition, you will create detailed documentation such as business requirements documents, functional specifications, and user stories, and maintain up-to-date documentation throughout the project lifecycle. Acting as a liaison between business stakeholders and technical teams, you will facilitate clear communication of requirements and expectations, as well as assist in user acceptance testing to validate that solutions meet business needs. To be successful in this role, you should have 6-8 years of experience as a Business Analyst, preferably in the healthcare sector with a focus on integration projects using MuleSoft. You should possess knowledge of MuleSoft Anypoint Platform and API management, as well as familiarity with healthcare standards and regulations such as HL7, FHIR, and HIPAA. Strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work collaboratively in a team environment are essential soft skills required for this position. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. With a commitment to helping clients innovate, optimize, and transform for long-term success, NTT DATA offers services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. As a Global Top Employer with diverse experts in more than 50 countries, NTT DATA is dedicated to providing innovative solutions to enhance the overall performance of healthcare systems and contribute to the digital future.,

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you will be a key member of the Data Product Solutions Architecture Team. Your role involves designing, developing, and implementing analytical data solutions that align with the organization's strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations, and data integration, collaborating with cross-functional teams to achieve target state architecture goals. Represent the Data Product Solutions Architecture team in various forums, advising on Data Product Solutions. Lead the design and maintenance of scalable data solutions, including data lakes and warehouses. Collaborate with cross-functional teams to ensure data product solutions support business needs and enable data-driven decision-making. Evaluate and select data technologies, driving the adoption of emerging technologies. Develop architectural models using Archimate, C4 Model, etc., and other artifacts to support data initiatives. Serve as a subject matter expert in specific areas. Contribute to the data engineering community and advocate for firm-wide data practices. Engage in hands-on coding and design to implement production solutions. Optimize system performance by resolving inefficiencies. Influence product design and technical operations. Develop multi-year roadmaps aligned with business and data technology strategies. Design reusable data frameworks using new technologies. Required qualifications, capabilities, and skills: - Bachelor's or Master's degree in Computer Science or related field with 10+ years of experience. - 5+ years as a Data Product Solution Architect or similar role leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise. - Hands-on experience in system design, application development, and operational stability. - Expertise in architecture disciplines and programming languages. - Deep knowledge of data architecture, modeling, integration, cloud data services, data domain-driven design, best practices, and industry trends in data engineering. - Practical experience with AWS, big data technologies, and data engineering disciplines. - Advanced experience in one or more data engineering disciplines, e.g., streaming, ELT/ELT, event processing. - Proficiency in SQL and data warehousing solutions using Teradata or similar cloud-native relational databases, e.g., Snowflake, Athena, Postgres. - Strong problem-solving, communication, and interpersonal skills. - Ability to evaluate and recommend technologies for future state architecture. Preferred qualifications, capabilities, and skills: - Financial services experience, especially in card and banking. - Experience with modern data processing technologies such as Kafka streaming, DBT, Spark, Python, Java, Airflow, etc., using data mesh & data lake. - Business architecture knowledge and experience with architecture assessment frameworks.,

Zenith System Solutions, a prominent IT software and services provider specialized in telecom and financial services, is currently looking for a highly skilled Campaign Operations & Marketing Automation Specialist (SAS-Direct) to join our team in various locations in Pune, India. As a key member of our marketing team, you will be responsible for overseeing the end-to-end lifecycle of marketing and service campaigns. This role calls for a unique blend of hands-on campaign execution, technical proficiency in SAS CI360 & RTDM, and a strategic approach to driving marketing transformation initiatives. Your responsibilities will include owning the complete campaign lifecycle, from intake and segmentation to quality assurance and deployment across various channels. You will be tasked with designing automated and scalable campaign frameworks using reusable templates, logic models, and decision flows. Additionally, you will leverage your expertise in building advanced SQL-based segmentation logic to define inclusions, exclusions, audiences, and targeting rules. The role also requires configuring and deploying campaigns using SAS CI360 and SAS Direct integrated with other Martech platforms, ensuring detailed QA protocols to maintain data integrity, rule compliance, and optimal customer experience. Collaboration with cross-functional teams to align campaign goals with strategic business outcomes will be crucial. You will be expected to proactively identify process gaps, introduce automation, and drive continuous improvement initiatives. Post-deployment, monitoring, and reporting for campaign performance and KPI validation will also fall under your purview. To be successful in this role, you should possess at least 4 years of hands-on experience in campaign management and marketing automation, with expertise in SAS CI360 Suite (SAS Plan, SAS Direct, RTDM). Strong SQL skills are essential, along with demonstrated experience in campaign deployment, workflow design, and production environment releases. Practical knowledge of campaign QA practices, A/B testing, and KPI-based measurement frameworks is highly desirable. Experience with data analytics and reporting tools like Tableau, Cognos, and knowledge of SAS Data Integration for data preparation are advantageous. Excellent stakeholder management and communication skills, particularly in cross-functional and cross-domain environments, are key requirements. Familiarity with data integration tools (e.g., SAS DI Studio) and analytics platforms (such as Tableau, Cognos, Hyperion) is a plus. A strong conceptual understanding of campaign components and the ability to translate business language into technical logic are also essential skills for this role. If you are an immediate joiner with a notice period of maximum 15-20 days and meet the above requirements, we invite you to apply for this exciting opportunity with Zenith System Solutions.,

As an experienced Informatica Developer, you will be responsible for utilizing your expertise in Informatica Intelligent Cloud Services (IICS), AWS Redshift, AWS Database Migration Service (DMS), and SQL Server. Your primary role will involve working on various data integration projects that leverage cloud technologies. You will be tasked with designing, developing, and maintaining ETL workflows using Informatica IICS to seamlessly integrate data from different sources, both on-premises and in the cloud, into AWS Redshift. Your focus will also include implementing and optimizing AWS Redshift to ensure efficient data storage and analytics capabilities. Utilizing AWS Database Migration Service (DMS), you will be responsible for migrating data from on-premises databases such as SQL Server to AWS cloud environments. Additionally, you will be expected to write complex SQL queries, conduct data transformations, and uphold data quality and consistency standards within SQL Server. Collaboration with data architects, business analysts, and other stakeholders will be essential to comprehend data requirements and develop efficient ETL processes. Your responsibilities will also include testing, debugging, and monitoring ETL processes to guarantee accurate data loading and transformation, as well as optimizing performance for scalability and efficiency. Ensuring data security and compliance within both cloud environments and on-premises systems will be a critical aspect of your role. You will be required to provide ongoing support and maintenance for ETL processes, troubleshoot and resolve production issues, and meticulously document technical specifications, designs, and procedures related to data integration processes.,

As a Senior Data Engineering Manager at Amgen, you will play a pivotal role in leading the end-to-end data strategy and execution for regulatory product submissions, lifecycle management, and compliance reporting within the Biotech or Pharmaceutical domain. Your primary responsibilities will revolve around ensuring the timely and accurate delivery of regulatory data assets across global markets by collaborating with cross-functional Regulatory Integrated Product Teams (IPT). Your key responsibilities will include: - Leading the engineering strategy for regulatory operations, encompassing data ingestion, transformation, integration, and delivery across regulatory systems. - Serving as the data engineering Subject Matter Expert (SME) within the Integrated Product Team to facilitate regulatory submissions, agency interactions, and lifecycle updates. - Collaborating with various departments such as global regulatory affairs, clinical, CMC, quality, safety, and IT teams to translate submission data requirements into data engineering solutions. - Overseeing the development of data pipelines, models, and metadata frameworks that adhere to submission data standards. - Enabling integration and reporting across regulatory information management systems and other relevant platforms. - Implementing data governance, lineage, validation, and audit trails to ensure regulatory compliance. - Guiding the development of automation solutions, dashboards, and analytics to enhance visibility into submission timelines and regulatory KPIs. - Ensuring interoperability between regulatory data platforms and enterprise data lakes for cross-functional reporting and insights. - Driving innovation by evaluating emerging technologies in data engineering and AI for regulatory intelligence. - Leading and mentoring a team of data engineers and analysts to foster a culture of excellence and innovation. - Implementing Agile methodologies to enhance team velocity and project delivery. The ideal candidate for this role should possess: - 12+ years of experience in data engineering, with at least 3 years in a managerial capacity, preferably within the biotech or pharmaceutical industry. - Proven experience in supporting regulatory functions and familiarity with ETL/ELT tools and cloud-based data platforms. - Deep understanding of regulatory standards, data compliance, and submission processes. - Strong project management, communication, and leadership skills. - Ability to translate technical capabilities into business outcomes and effectively work in cross-functional environments. While not mandatory, prior experience in integrated product teams or regulatory transformation programs, knowledge of Regulatory Information Management Systems, and familiarity with Agile methodologies are considered advantageous. In addition to technical expertise, soft skills such as analytical thinking, communication, teamwork, and self-motivation are highly valued in this role. A degree in Computer Science or related field, along with relevant certifications, is preferred. Amgen is an equal opportunity employer committed to diversity and inclusion in the workplace.,

You should have a strong knowledge of AWS services including S3, AWS DMS (Database Migration Service), and AWS Redshift Serverless. Experience in setting up and managing data pipelines using AWS DMS is required. Proficiency in creating and managing data storage solutions using AWS S3 is also essential. You should be proficient in working with relational databases, particularly PostgreSQL, Microsoft SQL Server, and Oracle. Experience in setting up and managing data warehouses, particularly AWS Redshift Serverless, is a must. Your responsibilities will include having analytical and problem-solving skills to analyze and interpret complex data sets. You should be experienced in identifying and resolving data integration issues such as inconsistencies or discrepancies. Strong problem-solving skills are necessary to troubleshoot and resolve data integration and migration issues. Soft skills are important, including the ability to work collaboratively with database administrators and other stakeholders to ensure integration solutions meet business requirements. Strong communication skills are required to document data integration processes, including data source definitions, data flow diagrams, and system interactions. You should be able to participate in design reviews and provide input on data integration plans. Willingness to stay updated with the latest data integration tools and technologies and recommend upgrades when necessary is expected. Knowledge of data security and privacy regulations is crucial. Experience in ensuring adherence to data security and privacy standards during data integration processes is necessary. AWS certifications such as AWS Certified Solutions Architect or AWS Certified Database - Specialty are a plus.,

As an ETL Designer, you will need to have a strong background in ETL and Data Integration, along with good knowledge in AWS/Cloud Architecture. It is essential to have a strong technical design experience with ABINITIO, although a technical background in Ab Initio is preferred. Your role will involve working on building complex ETL Data Pipelines and implementing data warehousing principles. Proficiency in Unix, SQL, and basic data modeling is required, along with strong data analysis skills. Effective communication and stakeholder management skills are crucial for this role, as you will be collaborating with cross-functional teams and stakeholders. You will also be responsible for documenting configurations, processes, and best practices for the team. Strong analytical and problem-solving skills are necessary to address complex challenges in SAS environments, along with a proactive approach to identifying and mitigating risks. Additional valuable skills include familiarity with database concepts, Cloud Platform experience with AWS, familiarity with JIRA principles, and Agile principles. You will be assessed on key critical skills relevant to success in the role, such as technology & business acumen, strategic thinking, and job-specific technical skills. Your primary purpose in this role will be to design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements. You will be expected to design solutions that meet business requirements while balancing technology risks against business delivery, driving consistency. Key accountabilities of the role include designing and developing solutions that can evolve to meet business requirements, identifying and implementing appropriate technologies and platforms, and incorporating security principles to meet the bank's resiliency expectations. You will also be responsible for assessing the impact of solutions in terms of risk, capacity, and cost, as well as developing architecture inputs required to comply with the bank's governance processes. As an Assistant Vice President, you are expected to advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. If the position includes leadership responsibilities, you will lead a team performing complex tasks, set objectives, and coach employees to deliver on work that impacts the whole business function. For individual contributors, the role involves leading collaborative assignments, guiding team members, and identifying new directions for projects. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive. Your role will involve engaging in complex analysis of data from multiple sources, communicating complex information effectively, and influencing stakeholders to achieve outcomes.,

As a Senior Data Engineer, you will be responsible for leading the design, development, and optimization of scalable data pipelines and infrastructure. Your role will involve collaborating with cross-functional teams to create data solutions that support business intelligence, analytics, and machine learning initiatives. This hands-on position requires a combination of deep technical expertise, strategic thinking, and mentorship capabilities. Your key responsibilities will include designing, building, and maintaining scalable and reliable data pipelines for both batch and streaming data. You will also be involved in developing and optimizing ETL/ELT processes to facilitate data integration from various sources. Additionally, you will play a crucial role in architecting and managing modern data platforms such as cloud-based data lakes/warehouses, implementing data governance, security, and compliance protocols. Collaboration with data scientists, analysts, and product teams is essential for delivering high-quality data solutions. You will also be expected to monitor data quality, implement tools for detecting and resolving data issues, and drive best practices in data engineering, including code reviews, testing, and CI/CD processes. Furthermore, mentoring junior data engineers and contributing to the scaling of engineering processes and standards will be part of your responsibilities. To enhance data pipeline efficiency, anomaly detection, and predictive analytics, you will leverage AI tools and methodologies. Utilizing Microsoft Fabric, specifically Notebooks, for designing and orchestrating data pipelines will also be a part of your role.,

Excited to work in the IT software product space and collaborate with a team on cutting-edge products at the intersection of GenAI and data transformation Our client is looking for a Data Management Lead to join their R&D team in Kolkata. As the Data Management Lead, you will leverage your 10-15 years of experience in data management to spearhead the development and maintenance of data management modules. Your key responsibilities will include driving the design, development, and deployment of data management and storage modules, overseeing data architecture and integration processes, enabling ETL and ELT processes, ensuring data quality and performance, and optimizing storage technologies. You will also be responsible for ensuring that the platform's data management and storage modules uphold data governance principles, data security, access controls, data masking, encryption processes, and a central technical and business meta data layer. Leading a team of developers, you will collaborate with product management to align with market and customer trends, and with QA to deliver industry-standard software quality. To qualify for this role, you should hold a Bachelor's or Master's degree in computer science or a related field, with a preference for BTech. Additionally, you should have proven experience in data management, team leadership, proficiency in big data technologies, SQL, data warehousing solutions, ETL and ELT tools, data modeling, data quality concepts, metadata management, data governance principles, and product lifecycle planning. Experience with large product or services companies is advantageous.,

The Data Scientist role at Capgemini requires 5 to 18 years of experience and is open for candidates across PAN India. As a Data Scientist, you will need to have good programming skills in Python and a strong understanding of basic statistics and deep learning techniques. You should also possess experience or interest in training and deploying machine learning models end to end. Additionally, the role entails prior experience in data integration, profiling, validation, and cleansing. Proficiency in SQL, a strong understanding of CI/CD, and building data pipelines and architecture are also key responsibilities. The ideal candidate should have extensive experience with relational and NO-SQL databases, as well as proficiency in handling both structured and unstructured data sources. Moreover, candidates are expected to have strong experience deploying applications to cloud platforms like Azure and AWS. An interest in building efficient batch and streaming data engineering pipelines is also desired. The primary skills required for this role include Data Science, SQL, Python, Tensorflow, and Pytorch. If you are passionate about working with data and have the required skills and experience, we encourage you to apply for this exciting opportunity at Capgemini.,

This is a data engineer position where you will be responsible for the design, development, implementation, and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner in coordination with the Data & Analytics team. Your overall objective will be to define optimal solutions to data collection, processing, and warehousing. You must have expertise in Spark Java development for big data processing, as well as proficiency in Python and Apache Spark, particularly within the banking & finance domain. Your role will involve designing, coding, and testing data systems, and implementing them into the internal infrastructure. Responsibilities: - Ensure high-quality software development with complete documentation and traceability - Develop and optimize scalable Spark Java-based data pipelines for processing and analyzing large-scale financial data - Design and implement distributed computing solutions for risk modeling, pricing, and regulatory compliance - Ensure efficient data storage and retrieval using Big Data - Implement best practices for Spark performance tuning including partition, caching, and memory management - Maintain high code quality through testing, CI/CD pipelines, and version control (Git, Jenkins) - Work on batch processing frameworks for Market risk analytics - Promote unit/functional testing and code inspection processes - Collaborate with business stakeholders and Business Analysts to understand the requirements - Work with other data scientists to understand and interpret complex datasets Qualifications: - 5-8 years of experience in working in data ecosystems - 4-5 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting, and other Big data frameworks - 3+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase - Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc.), Scala, and SQL - Data Integration, Migration & Large Scale ETL experience - Data Modeling experience - Experience working with large and multiple datasets and data warehouses - Experience building and optimizing big data pipelines, architectures, and datasets - Strong analytic skills and experience working with unstructured datasets - Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines, and toolchain - Experience with external cloud platforms such as OpenShift, AWS & GCP - Experience with container technologies and supporting frameworks - Experience in integrating search solutions with middleware & distributed messaging - Kafka - Excellent interpersonal and communication skills with tech/non-tech stakeholders - Experience in software development life cycle and good problem-solving skills - Strong mathematical and analytical mindset - Ability to work in a fast-paced financial environment Education: - Bachelors/University degree or equivalent experience in computer science, engineering, or similar domain If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

At PwC, we focus on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Our team utilizes advanced analytics techniques to assist clients in optimizing their operations and achieving their strategic goals. As a data analysis professional at PwC, you will be responsible for using advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems effectively. As you grow into a strategic advisor at PwC, you will utilize your influence, expertise, and network to deliver quality results. You will motivate and coach others, collaborating to solve intricate problems. With increasing autonomy, you will apply sound judgment, knowing when to take action and when to escalate issues. Your ability to navigate complexity, ask insightful questions, and articulate the connections between different aspects will be crucial. Additionally, your talent in developing and maintaining high-performing, diverse, and inclusive teams, along with your dedication to excellence, will significantly contribute to our Firm's success. To excel in this role, candidates should have at least 4+ years of hands-on experience. The position available is for a Senior Associate with the following required skills: **Must Have:** - Deep experience in supply chain analytics, including demand forecasting and inventory optimization - Expertise in utilizing Palantir Foundry for building data science models, data integration, and analysis to enhance supply chain decisions - Hands-on experience with Palantir Foundry, such as building pipelines, ontology development, and operationalizing data science models - Proficiency in implementing data governance and security best practices within Palantir Foundry - Strong knowledge of optimization methods like linear programming, mixed integer programming, and scheduling optimization - Deep understanding of forecasting methodologies and machine learning models - Solid experience in data preparation, transformation, and feature engineering - Proficiency in machine learning libraries and advanced programming skills in Python, PySpark, and SQL - Knowledge of supply chain KPIs, planning systems, and optimization models - Experience integrating analytics models into enterprise workflows - Proficient in SQL, Python with Foundry APIs - Coaching junior team members on best practices for Palantir Foundry implementations **Nice To Have:** - Experience in building and deploying models on cloud platforms - Familiarity with containerization and orchestration - Excellent communication, presentation, and client management skills In this role, you will lead the development and deployment of supply chain analytics use cases within the Palantir Foundry platform. You will collaborate closely with business stakeholders and data engineers to model complex supply chain processes using Foundry's Ontology framework. Additionally, you will develop scalable pipelines and workflows in Foundry to support real-time decision-making and execute project & analysis plans under the guidance of a Project Manager. To succeed, you will need a professional and educational background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA from a reputed institute. Your role will involve interacting with and advising consultants/clients as a subject matter expert, conducting analysis using advanced analytics tools, and contributing to firm-building activities.,

NTT DATA is looking for a highly skilled Mulesoft Business Analyst with 6-8 years of experience to join their MuleSoft Healthcare project team in Bangalore, Karnataka (IN-KA), India. The ideal candidate should have a strong background in healthcare systems, data integration, and business process analysis. As a Mulesoft Business Analyst, you will collaborate with stakeholders to gather requirements, analyze business needs, and design solutions that leverage MuleSoft's capabilities to enhance healthcare services. Your key responsibilities will include: - Requirements Gathering: Collaborate with healthcare stakeholders to gather and document business requirements through interviews, workshops, and surveys. - Business Process Analysis: Analyze existing business processes within the healthcare domain, identify areas for improvement, and recommend solutions. - MuleSoft Integration: Design and implement MuleSoft integrations connecting healthcare systems like EHRs, billing systems, and patient management systems. - Documentation: Create detailed documentation such as BRDs, functional specifications, and user stories, and maintain them throughout the project lifecycle. - Stakeholder Communication: Act as a liaison between business stakeholders and technical teams, ensuring clear communication of requirements and expectations. - Testing and Validation: Develop test cases, assist in user acceptance testing, and provide training to end-users as necessary. - Project Management Support: Assist project managers in tracking progress, identifying risks, and managing timelines. - Continuous Improvement: Stay updated on industry trends and propose innovative solutions to enhance healthcare systems. The ideal candidate should have 6-8 years of experience as a Business Analyst, preferably in the healthcare sector with a focus on integration projects using MuleSoft. Technical skills in MuleSoft Anypoint Platform, API management, and familiarity with healthcare standards and regulations are required. Strong analytical and problem-solving skills, excellent communication, and interpersonal skills are essential for this role. About NTT DATA: NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. They are committed to helping clients innovate, optimize, and transform for long-term success. With diverse experts in more than 50 countries, NTT DATA provides business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. They are one of the leading providers of digital and AI infrastructure globally, part of the NTT Group investing in R&D to support organizations and society in the digital future. Visit us at us.nttdata.com,

As a Vice President, Client Operations at KKR's Gurugram office, you will be responsible for leading the client operations team in areas such as client onboarding, communications, servicing, and client reporting. Your role will involve collaborating with various functional groups within the firm to enhance client experience by implementing processes and controls. You will work in a fast-paced environment, engaging with global teams, external agents, and counterparties to ensure operational efficiency and effectiveness. Your responsibilities will include overseeing day-to-day activities, ensuring quality and accuracy standards, engaging with fund counsel for entity formation, managing investor communications, supporting system upgrades, defining quality metrics, and stakeholder management. To excel in this role, you should have a Bachelor's Degree in Economics or Finance, with CFA, CPA, or MBA preferred. You should have at least 15 years of experience in a private equity firm or similar investment environment, along with experience in managing and developing high-performing teams. Excellent communication, interpersonal, and stakeholder management skills are essential, and knowledge of private equity and credit business is preferred. You should be able to manage multiple requests daily, assess risks, adhere to compliance frameworks, and work flexible hours to support global operations. Exposure to data integration, data management, and robotics is beneficial, along with proficiency in systems such as Salesforce, Snowflake, Jira, PowerBI/Tableau, and MS Office Suite. In this role, you will need to demonstrate strong leadership, collaboration, and stakeholder management skills. You will be responsible for recruiting, training, and developing your team to ensure high performance. Managing process metrics, KPIs, and dashboards, as well as coaching and providing constructive feedback to your team members, will be key aspects of your role. Your ability to work with global teams, resolve queries, and drive closure on requirements will contribute to the success of the client operations team at KKR. If you are a results-oriented individual with a proactive mindset, high intellectual curiosity, and a collaborative approach, this leadership position in client operations at KKR's Gurugram office could be the right fit for you. Join us in driving operational excellence, enhancing client experience, and contributing to the growth and transformation of KKR's global operations.,

As a Data Engineer at Guidehouse, you will have the opportunity to lead and execute data engineering projects, ensuring timely delivery and high quality. You will be responsible for building and optimizing data architectures for operational and analytical purposes, collaborating with cross-functional teams to gather and define data requirements. Additionally, you will implement data quality, data governance, and data security practices while managing and optimizing cloud-based data platforms such as Azure and AWS. Your role will involve developing and maintaining Python/PySpark libraries for data ingestion, processing, and integration with both internal and external data sources. You will design and optimize scalable data pipelines using Azure Data Factory and Spark (Databricks), working closely with stakeholders to address data-related technical issues and support their data infrastructure needs. As a mentor to junior data engineers, you will guide best practices in data engineering and evaluate and integrate new technologies and tools to improve data infrastructure. Ensuring compliance with data privacy regulations and monitoring performance across the data ecosystem will also be key responsibilities in this role. To qualify for this position, you should have a Bachelor's or Master's degree in computer science, information systems, statistics, math, engineering, or a related discipline. A minimum of 10+ years of hands-on experience in data engineering and cloud services is required, along with experience in leading and mentoring team members. Proficiency in Azure Data Factory, Databricks, Python, and PySpark is essential, as well as familiarity with modern data storage concepts like data lake and lake house. Experience in other cloud services such as AWS and data processing technologies will be advantageous, along with the ability to enhance, develop, and resolve defects in ETL processes using cloud services. Strong communication skills, problem-solving abilities, and a self-starter mindset are desirable traits for this role. Additionally, experience in different cloud providers, programming, and DevOps would be considered nice-to-have qualifications. Guidehouse offers a comprehensive total rewards package, including competitive compensation and a flexible benefits package to create a diverse and supportive workplace environment. Guidehouse is an Equal Opportunity Employer and will consider qualified applicants with criminal histories in accordance with applicable law. If you need accommodation during the application process, please contact Guidehouse Recruiting. Remember to be cautious of unauthorized correspondence related to job opportunities and report any suspicious activities to Guidehouse's Ethics Hotline. Your privacy and security are important to us.,

As an experienced Snowflake Architect with over 12-15 years of expertise in data services, data architecture, and data platforms, you will be responsible for designing and implementing scalable data solutions on Snowflake. Your role involves collaborating with stakeholders to understand business requirements and translating them into technical solutions. It is essential to optimize and tune Snowflake environments for improved performance and cost efficiency. You will be expected to develop and enforce best practices for data governance, security, and compliance. Additionally, leading and mentoring a team of data engineers and analysts will be part of your responsibilities. Integration of Snowflake with other data tools and platforms, monitoring and troubleshooting data pipelines and workflows, and staying updated with the latest trends in Snowflake and cloud data warehousing are crucial aspects of this role. Your skills should include extensive knowledge of Snowflake architecture and data warehousing, proficiency in SQL and performance tuning, as well as proficiency in PySpark/Python/Snowpark. Experience with dbt (Data Build Tool), ETL/ELT processes, and tools is necessary. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, along with expertise in data modeling, data integration, and data migration is expected. Understanding of data governance, security, and compliance best practices, problem-solving abilities, and strong communication and collaboration skills are essential for success in this role.,