1079 Data Integration Jobs - Page 38

We are looking for a highly skilled and experienced Tableau Developer to join our team in Bengaluru. The ideal candidate will have 3-8 years of experience in data analysis, visualization, and reporting. ### Roles and Responsibility Design, develop, and maintain complex data visualizations using Tableau. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and implement data models, ETL processes, and data quality checks. Troubleshoot and resolve technical issues related to data integration and visualization. Provide training and support to end-users on Tableau best practices. Work closely with stakeholders to understand business needs and develop effective data solutions.### Job Requirements Strong understanding of data modeling, ETL processes, and data quality checks. Proficiency in programming languages such as Python or R. Experience with data visualization tools like Tableau is required. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills.

We are looking for a highly skilled and experienced professional with 1 to 3 years of experience to join our team as a Staff in the Data & Analytics domain. The ideal candidate will have a strong background in data analytics, excellent communication skills, and the ability to work collaboratively with cross-functional teams. ### Roles and Responsibility Contribute to various technical streams of EI implementation projects. Provide product and design-level technical best practices. Interface and communicate with onsite coordinators. Complete assigned tasks on time and provide regular status reports to the lead. Support business development activities through leading pursuits and developing strong relationships with existing clients. Participate in case teams to provide solutions to unstructured problems. ### Job Requirements BE/BTech/MCA/MBA with adequate industry experience. Strong SQL skills and experience in writing Stored Procedures for data transformation. Experience in ETL/Data Integration using Informatica or any standard tool. Good understanding of DWH concepts, SQL, and AWS cloud exposure (S3/EMR/Lambda/Glue). Experience using Snowflake as a Data Integration Tool. Certification is a plus. Performance analysis and performance tuning skills in Snowflake. Experience using semi-structured data with Snowflake is preferred. Experience with Clone, Time travel, and other advanced features in Snowflake. Familiarity with Agile project delivery. Exposure to cloud technologies such as Azure, AWS is preferred.

We are looking for a highly skilled and experienced Senior Data Engineer to join our team, with 3-7 years of experience in modern data ecosystems. The ideal candidate will have hands-on proficiency in Informatica CDI, Azure Data Factory (ADF), Azure Data Lake (ADLS), and Databricks. ### Roles and Responsibility Provide daily Application Management Support for the full data stack, addressing service requests, incidents, enhancements, and changes. Lead and coordinate resolution of complex data integration and analytics issues through thorough root cause analysis. Collaborate with technical and business stakeholders to support and optimize data pipelines, models, and dashboards. Maintain detailed documentation including architecture diagrams, troubleshooting guides, and test cases. Remain flexible for shift-based work or on-call duties depending on client needs and critical business periods. Ensure seamless operation of data platforms and timely resolution of incidents. ### Job Requirements Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field, or equivalent work experience. Strong understanding of data governance, performance tuning, and cloud-based data architecture best practices. Excellent stakeholder collaboration skills to translate business needs into scalable technical solutions. Solid understanding of data pipeline management and optimization techniques. Experience integrating data from various sources including ERP, CRM, POS, and third-party APIs. Familiarity with DevOps/CI-CD pipelines in a data engineering context. Certifications such as Informatica Certified Developer, Microsoft Certified: Azure Data Engineer Associate, and Databricks Certified Data Engineer are preferred. Passionate, proactive problem solvers with a strong client orientation. Professionals eager to learn and grow in a fast-paced, global delivery environment. A chance to work alongside a world-class, multidisciplinary team delivering data excellence to global businesses.

We are looking for a highly skilled and experienced Manager to lead our Master Data Management team. The ideal candidate will have a strong background in data management, governance, and architecture, with excellent analytical, problem-solving, and communication skills. ### Roles and Responsibility Design and implement the overall MDM architecture and interfaces, including critical data integration, modeling, and migration. Develop and maintain data standards, processes, and policies to ensure data accuracy, consistency, and completeness. Collaborate with IT and other departments to ensure system integration and data flow. Manage data migration and transformation processes to ensure seamless data transitions. Ensure data quality and integrity across all business systems and resolve data-related issues. Establish and enforce data governance policies and procedures to maintain a trusted single source of accurate data. ### Job Requirements Proven experience in data management, data governance, and/or MDM. Strong knowledge of product, customer master data design as per TM Forum standards. Expertise in data handling to resolve any data issues. Good verbal and written communication skills in English, along with strong interpersonal, analytical, and problem-solving abilities. Experience in interacting with customers to understand business requirement documents and translating them into BI specifications and High- and Low-level design documents. Ability to lead and motivate a team, demonstrating leadership and management skills. Bachelor's/Master’s degree in a related field (e.g., data science, information technology, business administration). Knowledge of MDM tools and technologies, database management systems, and data integration platforms. A can-do attitude, taking ownership of projects to ensure timely delivery and scalable solutions through strong project management capabilities. Proactive solution-oriented mindset, ready to learn new technologies for client requirements. Exposure to different MDM products, with the ability to recommend the best-fit MDM product based on client requirements.

We are looking for a skilled Project Manager with expertise in SAP SuccessFactors and Data Integration to lead and manage projects related to the implementation, integration, and optimization of our Talent systems. The ideal candidate will have a strong background in project management, SAP SuccessFactors, and data integration methodologies, with the ability to ensure successful project delivery while meeting business objectives. ### Roles and Responsibility Lead end-to-end project management for strategic projects, ensuring alignment with Talent’s strategic objectives. Collaborate with key stakeholders to define project scope, requirements, and deliverables. Design and develop detailed cross-functional project plans, proactively managing project timelines. Manage project resources, including internal teams and external vendors, to ensure adequate staffing and effective utilization. Identify project risks and develop mitigation strategies, addressing potential issues to ensure project success. Develop and control project budgets, performing financial management and risk oversight. Foster strong communication across the project, providing regular status updates and progress reports to stakeholders. Ensure the delivery of high-quality solutions by establishing and maintaining project management best practices, quality standards, and testing procedures. Facilitate change management activities to ensure successful adoption of new systems and processes by end-users, and maintain comprehensive project documentation, including plans, status reports, meeting minutes, and lessons learned. ### Job Requirements Bachelor's degree in a relevant field. Proven experience as a Project Manager in SAP SuccessFactors implementations and data integration projects. Strong knowledge of project management methodologies, tools, and best practices. Relevant certification such as PMP (Project Management Professional) is desirable. Excellent leadership skills, with the ability to motivate teams and drive project success. Effective communication, negotiation, and interpersonal skills, both written and verbal. Exceptional problem-solving and analytical skills, with keen attention to detail. Ability to work in a fast-paced, dynamic environment with changing priorities. Proficiency in project management software tools and the ability to work virtually with global teams.

We are looking for a skilled professional with 4 to 8 years of experience in Informatica IDMC SaaS development or equivalent MDM tool, including a deep understanding of both Informatica Intelligent Cloud Services (IICS) and Informatica Intelligent Data Management Cloud (IDMC). The ideal candidate should have expertise in CDI (Cloud Data Integration) and CAI (Cloud Application Integration), coupled with a robust foundation in API development, preferably within the Informatica framework. ### Roles and Responsibility Employ advanced CDI tools to facilitate efficient data amalgamation within the cloud. Execute CAI strategies to ensure uninterrupted interconnectivity amongst diverse applications. Implement cutting-edge DQ instruments and protocols to maintain impeccable data standards throughout the infrastructure. Craft and execute sophisticated APIs tailored to meet a variety of integration needs. Conduct thorough examinations of data within source databases prior to migration into data warehouses and generate detailed technical specifications in alignment with BRDs. Collaborate with system analysts to forge comprehensive source-to-target mappings. ### Job Requirements Minimum 4-8 years of direct involvement with Informatica IDMC SaaS development or equivalent MDM tool. High level of expertise in CDI (Cloud Data Integration) and CAI (Cloud Application Integration). Robust foundation in API development, preferably within the Informatica framework. Experience in CDQ (Cloud Data Quality) along with profiling experience in CDP (Cloud Data Profiling). Strong analytical skills and ability to work collaboratively with cross-functional teams. Excellent communication and problem-solving skills.

Salary: 15 to 30 LPA Exp: 3 to 8 years Location : Gurgaon/Bangalore/Pune/Chennai Notice: Immediate to 30 days..!! Key Responsibilities & Skillsets: Common Skillsets : 3+ years of experience in analytics, Pyspark, Python, Spark, SQL and associated data engineering jobs. Must have experience with managing and transforming big data sets using pyspark, spark-scala, Numpy pandas Excellent communication & presentation skills Experience in managing Python codes and collaborating with customer on model evolution Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise). Superior analytical and problem solving skills Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision Good communication skill for client interaction Data Management Skillsets: Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures). Strong ability to translate functional specifications / requirements to technical requirements

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 12 Yrs Location: Pan India Job Description: Minimum Two years experience in IICS Integration Specialist Interested can share your resume to sankarspstaffings@gmail.com with below inline details. Over All Exp : Relevant Exp : Current CTC : Expected CTC : Notice Period :

We are looking for a highly experienced Snowflake Architect with over 5 years of experience in designing and implementing Snowflake-based data solutions. The ideal candidate will be responsible for architecting scalable data platforms, optimizing data pipelines, and ensuring efficient data storage and processing on Snowflake. You will work closely with cross-functional teams to develop solutions that meet business objectives and drive data-driven strategies. Key Responsibilities Architect and design Snowflake-based data platforms to meet business requirements. Develop and optimize data pipelines for efficient data ingestion, storage, and processing. Collaborate with data engineering and analytics teams to ensure data quality and availability. Design scalable and high-performance data models using Snowflake. Ensure compliance with data governance, security, and privacy requirements. Monitor and troubleshoot performance issues in Snowflake environments. Provide technical leadership and guidance on best practices for Snowflake development and architecture. Document data architecture and processes, ensuring clear communication across teams. Qualifications Bachelors degree in computer science, Information Technology, or a related field. 5+ years of experience in data architecture , with at least 3 years of experience working with Snowflake . Strong expertise in Snowflake architecture, data modeling, and optimization . Experience with ETL tools and data integration processes. Snowflake certification is a plus. Technical Skills Proficiency in Snowflake features including Virtual Warehouses, Time Travel, Cloning, and Secure Data Sharing Expertise in data modeling, schema design, and performance tuning in Snowflake Experience with SQL , Python , or other scripting languages Familiarity with data integration tools such as Informatica, Matillion, or Talend Experience with cloud platforms like AWS, Azure, or GCP Knowledge of data governance, security, and compliance best practices Experience with CI/CD pipelines and version control systems (e.g., Git) Good to Have Experience with real-time data processing and streaming technologies. Familiarity with machine learning and AI-driven data solutions. Experience with other data platforms such as Redshift, BigQuery, or Databricks. Understanding of DevOps practices for managing Snowflake environments. Knowledge of Big Data technologies like Hadoop or Spark. Key Responsibility Areas (KRA) Architect and implement Snowflake-based data solutions. Ensure efficient data pipelines for data ingestion, storage, and processing. Collaborate with teams to ensure data quality and governance. Provide leadership and guidance on Snowflake best practices. Monitor and resolve performance issues in Snowflake environments.

Purpose and Scope: Commercial (GrowthX) Data Integration service - to manage the commercial integration backlog and development team. Essential Job Responsibilities: Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond. Design develop and implement robust and scalable full stack applications using modern technologies. Collaborate with cross functional teams and practices across the organization including Commercial, Manufacturing, Medical, DataX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions. Provide Level 3 and 4 Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible. Champion continuous improvement initiatives identifying opportunities to optimize performance security and maintainability of existing data and platform architecture and other technology investments. Participate in the continuous delivery pipeline Adhering to DevOps best practices for version control automation and deployment. Ensuring effective management of the FoundationX backlog. Leverage your knowledge of Machine Learning (ML) and data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization. Stay up to date on the latest trends and technologies in full-stack-development, data engineering and cloud platforms Requirements Qualifications: Required Any relevant cloud-based integration certification at professional level. For example: AWS certified DevOps engineer (Professional), AWS Certified Developer (Professional) MuleSoft Certified integration architect Level 1 (Essential), Microsoft Certified Azure Integration and Security. Proficient in RESTful APIs MuleSoft Understanding of MuleSoft's Anypoint Platform and its components Experience with designing and managing API-led connectivity solutions Knowledge of integration patterns and best practices Proficiency in network architecture and security concepts AWS Experience provisioning, operating, and managing AWS environments Experience developing code in at least one high-level programming language Understanding of modern development and operations processes and methodologies Ability to automate the deployment and configuration of infrastructure using AWS services and tools Experience with continuous integration and continuous delivery (CI/CD) methodologies and tools Microsoft Azure Fundamental understanding of Microsoft Azure and its services Experience with Azure services related to computing, networking, storage, and security Knowledge of general IT security principles and best practices Understanding of cloud integration patterns and Azure integration services such as Logic Apps, Service Bus, and API Management Cross-Cultural Experience: Work experience across multiple cultures and regions, facilitating effective collaboration in diverse environments. • Innovation and Creativity: Ability to think innovatively and propose creative solutions to complex technical challenges. • Global Perspective: Demonstrated understanding of global pharmaceutical or healthcare technical delivery, providing exceptional customer service and enabling strategic insights and decision-making. Preferred Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains. Other complex and highly regulated industry experience will be considered across diverse areas like Commercial, Manufacturing and Medical. Data Analysis and Automation Skills: Proficient in identifying, standardizing, and automating critical reporting metrics and modelling tools. Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement. Technical Proficiency: Strong coding skills in SQL, R, and/or Python, coupled with expertise in machine learning techniques, statistical analysis, and data visualization. Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery. Working Environment At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas Responsible Flexibility Guidelines.

Role Description As a BI specialist, you will be responsible for building and maintaining reporting solutions. You will have a thorough understanding of SAP HANA, Data Warehouse and data integration and responsible for designing and implementing business requirements as well as data accuracy in reports. You will support the team in day-to-day SAP HANA development and support, monitoring the production environment, identifying and fixing issues, and improving system performance. As this role involves daily interaction with the finance department, it is essential that you have a good background in finance, and strong verbal and written communication skills in English. Due to the rapid and continuous growth of the organization, the tasks and duties of this role may evolve over time. You will be keen to develop and grow within the role and to take on additional challenges and responsibilities as they occur. What youll be doing: Development and support of BI environment in collaboration with finance stakeholders Ongoing development and maintenance of SAP HANA reporting platform Responsible for data loading, monitoring and system performance Engage with users to understand their needs and develop/maintain application, logical and technical data architectures Integration and implementation of changes Training of key users What youll bring: Bachelors or Masters degree in Mathematics, Computer Science, or related field 5+ years of expertise in the IT area 3+ years of experience in implementing SAP HANA based data warehousing solutions Experience with SAP HANA modeling including Graphical Calculation views, Table Functions and/or Scripted Calculation Views Functional knowledge of SAP S4 as a data source (GL, AR, AP, HR etc.) Optimization of Models, Understanding Plan Viz Performance tuning Understanding of HANA Security and Authorization Proven ability to adopt new technologies Ability to have good grasp of the detail and manage multiple prioritie. Able to work in a quick turnaround environment.Strong analytical and problem solving skills Strong communication skills in English, both verbal and written Independent, organized, flexible, proactive and result-oriented Ability to write complex SQL Script is a plus Knowledge of agile development processes (SCRUM or Kanban) and experience with Jira a plus. Knowledge of SAP HANA XSA, SAP SAC, HANA Web IDE, SAP, GIT. Knowledge of XSOData, SAPUI5, Gateway, Fiori application deployment is added advantage Experience with Tableau is a plus. Job location is Bangalore

About the Role: In this Opportunity as Senior Data Analyst, you will be responsible for Analyzing and extracting data from source systems (Salesforce or other) and migrating it to target systems (Salesforce or other). Managing data migration processes including extraction, transformation, and loading (ETL) to ensure seamless and accurate data transitions. Youll use tools like Alteryx to cleanse, transform, and load data. Ensuring data quality by applying data validation techniques, along with cleansing and transformation, to maintain high standards and ensure data integrity. Generating insightful reports that support business decisions, highlighting key findings, and addressing any data quality issues. Defining and reviewing data mappings and transformation rules to ensure smooth and accurate data flows. Collaborating with business stakeholders and technical teams to align data solutions with business objectives. Providing valuable data insights and creating data metric reports generation about Data Quality to support data architects in their decision-making and system design. Working in a fast-paced, cross-functional environment to deliver high-quality, actionable data solutions on time. Reporting to a Data Migration Lead and would work closely with Data analysts as well Data architects across technology. About You : You're a fit for the role of Senior Data Analyst if your background includes: A bachelors degree in computer science, IT, Data Science, or a related field. 6-8 years of experience in data analysis, including hands-on work with Salesforce, data migration, and ETL processes. Preferably deep understanding of Salesforce data structures and its functionality. Experience with ETL tools, especially Alteryx, and other data integration platforms. Experience with Snowflake for data warehousing, querying and optimization. Strong skills in data transformation, mapping analysis, and data validation techniques (e.g., range checks, consistency checks, uniqueness checks, and null value handling) to ensure data accuracy and quality. Expertise in data cleansing, data quality management, and validation techniques to maintain clean, accurate data. Excellent communication and collaboration skills, working effectively with business teams and technical experts. Proficiency in SQL, preferably data visualization tools (e.g., Tableau, Power BI), and Excel. Familiarity with migrating binary files and handling data transfers across systems is a plus. Previous experience working on sales and marketing data is a plus.

Requirement : Senior Business Analyst (Data Application & Integration) Experience: 8+ Years Location: Gurgaon (Hybrid) Job Summary: We are seeking an experienced Senior Business Analyst (Data Application & Integration) to drive key data and integration initiatives. The ideal candidate will have a strong business analysis background and a deep understanding of data applications, API integrations, and cloud-based platforms like Salesforce, Informatica, DBT, IICS, and Snowflake . Key Responsibilities: Gather, document, and analyze business requirements for data application and integration projects. Work closely with business stakeholders to translate business needs into technical solutions. Design and oversee API integrations to ensure seamless data flow across platforms. Collaborate with cross-functional teams including developers, data engineers, and architects. Define and maintain data integration strategies, ensuring high availability and security. Work on Salesforce, Informatica, and Snowflake to streamline data management and analytics. Develop use cases, process flows, and documentation to support business and technical teams. Ensure compliance with data governance and security best practices. Act as a liaison between business teams and technical teams, providing insights and recommendations. Key Skills & Requirements: Strong expertise in business analysis methodologies and data-driven decision-making. Hands-on experience with API integration and data application management. Proficiency in Salesforce, Informatica, DBT, IICS, and Snowflake . Strong analytical and problem-solving skills. Ability to work in an Agile environment and collaborate with multi-functional teams. Excellent communication and stakeholder management skills.

Must have BODS tech & data migration expertise. Involves ERP, SAP, Syniti tools, client-facing delivery, mentoring juniors. Process: Online Test, Tech Interview, Training. BODS Technical Expertise (SAP BODS BusinessObjects Data Services) Data Migration Experience ERP Experience (preferably SAP) Syniti Tools & Methodology (as used in solution delivery) Client-Facing Consulting Experience Strong Communication Skills (written & verbal in English) Analytical and Data Quality Skills Experience in Full ERP Implementation Lifecycle Ability to Mentor Junior Team Members Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

ABOUT THE ROLE Role Description: The Product Master Data Management (PMDM) Data Engineer is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes. You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, structured content management, and integrated data to automate the creation, review, and approval of regulatory content. Roles & Responsibilities: Design, develop, and maintain solutions for data generation, collection, and processing. Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions. Build and maintain back-end services using languages like Python, Java, or Node.js that provide secure, reliable, and scalable access to Product Master Data. Collaborate with the design and product teams to understand user needs and translate them into technical requirements. Write clean, efficient, and well-tested code. Participate in code reviews and provide constructive feedback. Maintain system uptime and optimal performance Learn and adapt to new technologies and industry trends Collaborate and communicate effectively with product teams Participate in sprint planning meetings and provide estimations on technical implementation Basic Qualifications and Experience: Bachelor’s degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills: Hands on experience with web API development Hands on experience with backend development, proficient with SQL/NoSQL database, proficient in Python and SQL Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills. Good-to-Have Skills: Strong understanding of data modeling, data warehousing, and data integration concepts Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments) Machine Learning Certification (preferred on Databricks or Cloud environments Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Associate Data Engineer Graph – Research Data and Analytics What you will do Let’s do this. Let’s change the world. In this vital role you will be part of Research’s Semantic Graph. Team is seeking a dedicated and skilled Data Engineer to design, build and maintain solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance, graph-based, data engineering solutions for large scientific datasets and collaborate with Research partners. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, has experience with semantic data modeling and graph databases, and understands data architecture and ETL processes. Roles & Responsibilities: Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Maintain documentation of processes, systems, and solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Bachelor’s degree and 1to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR Diploma and 4 to 7 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience Functional Skills: Must-Have Skills: Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices. Hands on experience with big data technologies and platforms, such as Databricks, workflow orchestration, performance tuning on data processing. Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Experience with system administration skills, such as managing Linux and Windows servers, configuring network infrastructure, and automating tasks with shell scripting. Examples include setting up and maintaining virtual machines, troubleshooting server issues, and ensuring data security through regular updates and backups. Solid understanding of data modeling, data warehousing, and data integration concepts Solid experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining user documentation in Confluence Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

[Associate Data Engineer] What you will do Let’s do this. Let’s change the world. In this vital role you will design, build and maintain data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research stakeholders. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates strong technical skills, has experience with big data technologies, and understands data architecture and ETL processes Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Maintain documentation of processes, systems, and solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Preferred Qualifications: 1+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Strong understanding of data modeling, data warehousing, and data integration concepts Strong experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining technical documentation in Confluence Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Senior Manager Data Science What you will do Let’s do this. Let’s change the world. In this vital role you will lead the technical delivery of AI-driven data applications within our Data & Analytics team, with a key focus on Competitive Intelligence (CI). Lead product development of AI-powered Competitive Intelligence solutions, ensuring alignment with business needs. Define and execute data and AI product roadmaps, translating business requirements into actionable insights. Oversee data integration, AI model deployment, and cloud-based infrastructure (AWS preferred) to enhance market intelligence. Develop automated pipelines for gathering, processing, and analyzing competitive data from various sources. Ensure high-quality, scalable, and secure data solutions, leveraging modern engineering best practices. Establish Agile delivery processes and drive developer productivity metrics. Proactively resolve issues, mitigate risks, and optimize performance during sprints. Directly manage and mentor team members, fostering a culture of innovation and excellence. Maintain financial oversight and resource allocation for product teams. What we expect of you We are all different, yet we all use our unique contributions to serve patients. This role will oversee the end-to-end development of data products that provide actionable competitive insights, working closely with engineers, data scientists, and product teams to ensure scalable, high-quality solutions. The ideal candidate has strong leadership skills, technical expertise in cloud-based AI solutions, and a strategic mindset for leveraging data to drive business decisions. Basic Qualifications: Master’s degree and 8 to 10 years of proven ability in Data Science, Information Systems, Computer Science, or related field. OR Bachelor’s degree and 10 to 14 years of proven ability in Data Science, Information Systems, Computer Science, or related field . OR Diploma and 14 to 18 years of proven ability in Data Science, Information Systems, Computer Science, or related field Preferred Qualifications: Experience in Competitive Intelligence data solutions, NLP, and predictive analytics. Strong understanding of data visualization and dashboarding for CI insights. Certifications in AWS, Agile, DevOps, or Scrum Master (CSM/PSM) preferred. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and implementing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes . Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing. Be a key team member that assists in design and development of the data pipeline. Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems. Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions. Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks. Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs. Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. Implement data security and privacy measures to protect sensitive data. Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions. Identify and resolve complex data-related challenges. Adhere to standard processes for coding, testing, and designing reusable code/component. Explore new tools and technologies that will help to improve ETL platform performance. Participate in sprint planning meetings and provide estimations on technical implementation. Collaborate and communicate effectively with product teams. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field. Functional Skills: Must-Have Skills: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing. Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training. Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Excellent problem-solving skills and the ability to work with large, complex datasets. Strong understanding of data governance frameworks, tools, and standard methodologies. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA). Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development. Strong understanding of data modeling, data warehousing, and data integration concepts. Knowledge of Python/R, Databricks, SageMaker, OMOP. Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments). Certified Data Scientist (preferred on Databricks or Cloud environments). Machine Learning Certification (preferred on Databricks or Cloud environments). SAFe for Teams certification (preferred). Soft Skills: Excellent critical-thinking and problem-solving skills. Strong communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills. Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and implementation. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the development and implementation of new applications Conduct code reviews and provide technical guidance to team members Stay updated on industry trends and best practices to enhance application development processes Professional & Technical Skills: Must To Have Skills: Proficiency in Microsoft Azure Analytics Services Strong understanding of cloud-based analytics services Experience with data integration and data warehousing Knowledge of data modeling and database design Hands-on experience with Azure Data Factory and Azure SQL Database Additional Information: The candidate should have a minimum of 5 years of experience in Microsoft Azure Analytics Services This position is based at our Indore office A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Anaplan Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with teams to ensure the successful implementation of applications. Roles & Responsibilities: Lead and mentor a team of Anaplan model builders and analysts to deliver best-in-class planning models and user experiences. Own the end-to-end Anaplan development lifecycle, from requirements gathering to model design, build, testing, deployment, and support. Collaborate with business stakeholders to understand planning needs and translate them into scalable Anaplan solutions. Ensure adherence to Anaplan best practices in model design, modularity, performance, and maintainability. Drive adoption and continuous improvement of Anaplan use cases across the business (e.g., FP&A, workforce planning, sales performance). Manage timelines, prioritize tasks, and coordinate cross-functional efforts to meet project deliverables. Provide technical guidance and quality control, conducting model audits and design reviews. Oversee data integration and automation efforts between Anaplan and other enterprise systems (e.g., ERP, CRM, Data Warehouse). Develop and maintain documentation, training materials, and change management processes for users. Stay current on Anaplan platform updates and new features, evaluating opportunities for innovation and improvement. Provide end-user support and training, acting as a subject matter expert (SME) for Anaplan across the company. Conduct system testing and troubleshooting, working with stakeholders and vendors as needed. Work on break-fixes and enhancement requests Deliver assigned work successfully and on-time with high-quality Develop documentation for delivered solution The candidate must have good troubleshooting skills and be able to think through issues and problems in a logical manner Professional & Technical Skills: Must Have Skills: Proficiency in Anaplan Must Have:Certified Solution Architect or Master Anaplanner preferred Strong understanding of application development processes Experience in leading application design and configuration Knowledge of project management principles Excellent communication and leadership skills Additional Information: The candidate should have 8+ years of experience in planning or financial systems roles and a minimum of 5 years of experience in Anaplan This position is available at Locations A 15-year full-time education is required Qualification 15 years full time education

Project Role : Business and Integration Architect Project Role Description : Designs the integration strategy endpoints and data flow to align technology with business strategy and goals. Understands the entire project life-cycle, including requirements analysis, coding, testing, deployment, and operations to ensure successful integration. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business and Integration Architect, you will design the integration strategy endpoints and data flow to align technology with business strategy and goals. You will understand the entire project life-cycle, including requirements analysis, coding, testing, deployment, and operations to ensure successful integration. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the design and implementation of integration solutions Develop and maintain integration architecture standards Provide technical guidance and support to project teams Professional & Technical Skills: Must To Have Skills: Proficiency in SAP Sales and Distribution (SD) Strong understanding of data integration principles Experience with enterprise integration tools and technologies Knowledge of API design and development Hands-on experience with data mapping and transformation Additional Information: The candidate should have a minimum of 5 years of experience in SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 years full time education is required Qualification 15 years full time education

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Data Warehouse ETL Testing Good to have skills : Risk Analytics Modelling and Reporting Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineering Lead, you will lead a team of quality engineers, guiding them through the complexities of multi-disciplinary team planning and ecosystem integration. Your typical day will involve collaborating with various stakeholders to ensure the delivery of high-quality applications. You will apply your business and functional knowledge to develop comprehensive testing strategies, utilizing quality processes and methodologies to enhance the overall application lifecycle. Your role will also include defining and implementing key metrics to effectively manage and assess the testing process, ensuring that test execution and defect resolution are handled efficiently and effectively. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Mentor junior team members to enhance their skills and knowledge in quality engineering. Continuously evaluate and improve testing processes to ensure optimal performance and quality. Responsible for specification, design, Build and Test of the StatistiX business services Proactively identify the improvement areas and make efforts towards the implementation Deliver software changes in a reliable and transparent manner, in scope, time and budget Align with project managers, peers from Clearing & Risk IT, neighboring IT teams as well as IT Operations and control functions proactively where required Foster an environment of pro-active communication and strive for cross location collaboration and continuous improvement Work actively on team's and team member's personal development, making an effective contribution to increase the team's diversity Manage project priorities, deadlines and deliverables Professional & Technical Skills: Must To Have Skills: Proficiency in Data Warehouse ETL Testing. Good To Have Skills: Experience with Risk Analytics Modelling and Reporting. Strong understanding of data integration and transformation processes. Experience with automated testing tools and frameworks. Familiarity with performance testing and load testing methodologies. Experienced in Information Security initiatives for critical infrastructures (e.g., Cryptography, Privileged Access Management, Security Information and Event Management, Vulnerability Management) Very keen and ready to assess and implement new IT trends e.g., Co-pilot and other AI Tools Strong Project Management skills and experience in leading the teams with focus on time to market delivery, Capital Markets knowledge Solid understanding of Data Modelling, Data warehousing and Data platforms design. Solid understanding of Data warehousing and Data platforms design. Good know-how on Financial Markets. Know-how on Clearing, Trading and Risk business process will be added advantage Additional Information: The candidate should have minimum 7.5 years of experience in Data Warehouse ETL Testing. This position is based at our Hyderabad office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing solutions that align with organizational goals and objectives. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and implement software solutions to meet business requirements. Collaborate with cross-functional teams to analyze and address technical issues. Conduct code reviews and provide feedback to enhance code quality. Stay updated with industry trends and best practices in application development. Assist in troubleshooting and resolving technical issues in applications. Professional & Technical Skills: Must To Have Skills: Proficiency in Ab Initio. Strong understanding of ETL processes and data integration. Experience with data warehousing concepts and methodologies. Hands-on experience in developing and optimizing ETL workflows. Knowledge of SQL and database management systems. Additional Information: The candidate should have a minimum of 3 years of experience in Ab Initio. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and application functionality. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead and mentor junior professionals Conduct regular team meetings to discuss progress and challenges Stay updated on industry trends and best practices Professional & Technical Skills: Must To Have Skills: Proficiency in Ab Initio Strong understanding of ETL processes Experience with data integration and data warehousing Knowledge of data quality and data governance principles Hands-on experience with Ab Initio GDE and EME tools Additional Information: The candidate should have a minimum of 5 years of experience in Ab Initio This position is based at our Chennai office A 15 years full time education is required Qualification 15 years full time education