219 Etl Processes Jobs - Page 4

Description We are looking for an experienced Data Analyst to join our dynamic team in India. The ideal candidate will have a strong background in data analysis and a passion for transforming data into actionable insights. You will play a key role in supporting business decisions by providing accurate and timely analysis of data. Responsibilities Collect, process and analyze large datasets to derive actionable insights. Develop and maintain dashboards and reports to track key performance indicators. Collaborate with cross-functional teams to understand data needs and provide analytical support. Identify trends and patterns in data to inform business decisions. Ensure data accuracy and integrity through regular data quality checks. Present findings and recommendations to stakeholders in a clear and concise manner. Skills and Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. 5-10 years of experience in data analysis or a related field. Proficiency in data analysis tools such as SQL, Python, or R. Experience with data visualization tools like Tableau, Power BI, or similar. Strong statistical analysis skills and knowledge of statistical methods. Excellent problem-solving abilities and attention to detail. Ability to communicate complex data insights to non-technical stakeholders.

Description We are looking for a skilled Data Analyst with 5-10 years of experience to join our team in India. The ideal candidate will be responsible for analyzing data to support decision-making and improve business outcomes. Responsibilities Analyze complex datasets to derive actionable insights. Develop and maintain dashboards and reports to visualize data trends. Collaborate with cross-functional teams to understand data needs and provide analytical support. Ensure data accuracy and integrity through regular audits and validation processes. Present findings and recommendations to stakeholders in a clear and concise manner. Skills and Qualifications Proficiency in SQL for data extraction and manipulation. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong analytical skills with the ability to interpret complex datasets and identify trends. Familiarity with statistical analysis tools and techniques (e.g., R, Python, SAS). Excellent problem-solving skills and attention to detail. Ability to communicate complex data insights to non-technical stakeholders effectively. Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.

Description We are seeking a Data Analyst to join our team in India. The ideal candidate will have a strong analytical background and the ability to transform data into actionable insights. You will work closely with various departments to support data-driven decision-making and improve business performance. Responsibilities Collect, analyze, and interpret complex datasets to drive insights and support decision-making processes. Develop and maintain dashboards and reports to visualize data effectively. Collaborate with cross-functional teams to understand their data needs and provide analytical support. Identify trends and patterns in data to inform business strategies and performance improvements. Ensure data integrity and accuracy in reporting and analysis. Skills and Qualifications Proficiency in SQL for data manipulation and querying. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong analytical skills with the ability to interpret complex data sets. Familiarity with statistical analysis and techniques. Knowledge of programming languages such as Python or R is a plus. Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Strong problem-solving skills and attention to detail. Ability to communicate complex data insights to non-technical stakeholders.

Job Description Responsibilities: - Design and develop data pipelines using AWS Glue and PySpark - Work with large datasets and develop efficient data processing solutions - Collaborate with cross-functional teams to deliver data engineering projects - Develop and maintain data warehouses using RDMS like PostgreSQL - Integrate data from various sources using APIs and JSON data - Ensure data quality and integrity Requirements: - 5-8 years of experience in data engineering - Strong expertise in Python, PySpark, AWS Glue, and RDMS like PostgreSQL - Experience with APIs and JSON data is preferred - Excellent problem-solving and analytical skills - Strong communication and interpersonal skills

We are seeking a talented BI Developer to join our dynamic team in India. The ideal candidate will be responsible for creating and maintaining business intelligence solutions that enable data-driven decision-making across the organization. Responsibilities Design and develop interactive dashboards and reports using BI tools. Collaborate with stakeholders to gather requirements and understand business needs. Analyze large datasets to identify trends and insights that drive business decisions. Ensure data accuracy and integrity by performing regular data quality checks. Optimize existing BI processes and workflows for better performance and efficiency. Provide training and support to end-users on BI tools and best practices. Skills and Qualifications 2-6 years of experience in Business Intelligence development. Proficiency in BI tools such as Tableau, Power BI, or QlikView. Strong SQL skills for data manipulation and querying. Experience with data modeling and ETL processes. Knowledge of data warehousing concepts and technologies. Ability to communicate complex data insights in a clear and concise manner. Strong analytical and problem-solving skills. Familiarity with programming languages such as Python or R is a plus.

Responsibilities: Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform. Engage in cutting-edge research and development to enhance the performance and efficiency of generative AI models. Design and maintain machine learning pipelines for training and deploying models, leveraging Azure services such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services. Collaborate with cross-functional teams to integrate AI capabilities into a wide range of applications, emphasizing Python or .Net development in Azure or AWS. Stay updated with the latest trends and advancements in AI, machine learning, Azure technologies, and Python programming. Analyze complex datasets, employing Azures data processing and analytics capabilities to refine model accuracy and effectiveness. Implement strategies for large-scale data processing and model training in the Azure cloud, using .Net or Python or AWS as the primary programming language. Mentor junior team members in AI, machine learning, Python on Azure or AWS Platform or .Net on Azure platform. Competencies: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. At least 5 years of experience in data science, with a specific focus on AI and machine learning. Demonstrated experience in building and deploying generative AI models, like ChatGPT. Proficient in .Net or Python programming, with a strong background in using Python for machine learning and AI development. Extensive experience with AWS or Azure cloud services. Solid understanding of generative AI principles, natural language processing, and machine learning frameworks like TensorFlow or PyTorch. Experience in handling large datasets and familiarity with big data technologies. Exceptional analytical and problem-solving skills. Strong communication skills and the ability to lead initiatives. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, Orion, we or us) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (Notice) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.

Skills Required Bachelor's or master's degree in computer science, Engineering, or a related field. 4 to 15 years of experience in data engineering, with a focus on Microsoft technologies. Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure Databricks, and PySpark. Implement and optimize big data solutions on Azure, leveraging Databricks and PySpark for advanced data processing and analytics. Proficiency in Azure data services, including Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Hands-on experience with Microsoft SQL Server Integration Services (SSIS). Strong understanding of data modelling concepts and database design principles. Excellent communication and leadership skills, with the ability to effectively collaborate with stakeholders at all levels. Experience working in an Agile development environment is preferred. Certifications in relevant technologies (e.g., Microsoft Certified: Azure Data Engineer Associate) is a plus.

Roles & Responisbilities: Managing one full region or multiple customers within a region. Owning end to end communication and status reporting to the leadership and customer Assimilating proficiency in managing his portfolio including estimates, asset projection, unit metrics, track CARR(Contracted Annual Recurring Revenue) and asset transfers and managing cloud costs for fully owned projects Adding valuable data insights for the customers in processes and raising early warning signs in case of issues and escalations. Effectively collaborating with Customer success stakeholders, manage escalations, manage and plan transitions efforts and initiate hiring accordingly Thinking of new processes and improvements that can help his region and overall Sustenance Engineering Team. Driving initiatives to help Senior Manager and Associate Director in achieving the target Profit gross margin and desire CSAT score for the allocated portfolio. Prioritizing work aspects with respect to changing time-frames, goal posts, incomplete information and direction. Understanding the big picture and cascades to the team / Handling internal and external stakeholders. Owning their team s performance end to end like contributing to mentoring, grooming, assessing and giving balanced feedback (both strengths & development areas). Regularly discussing performance and tracks Individual Development Plan on Lattice Acting as a backup SEM for another region Required Skills: Experience in Advanced SQL & Unix Strong Experience of ETL & Python support Hands on Analytics Tools (Power BI or Tableau) knowledge Good Healthcare knowledge Fundamental ITIL Expertise Support Processes (SLAs, OLAs, Product or application support Project and Program management Escalation & Team management Problem solving mindset Excellent written and verbal communication skills. An ambitious person who can work in a flexible startup environment with only one thing in mind - getting things done. What We Offer: Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industrys best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break Weve got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your childs well-being first. *India offices

Managing a highly efficient team for streamlined data exchange and interoperability at Innovaccer. Evolving team processes and workflows for greater productivity. Oversee implementations and ensure adherence to set processes Driving and Maintaining relationships with US Healthcare provider organizations and IT vendors Oversee and enable all the negotiations with the vendors for either setting up partnerships or contracting a third party vendor to assist in setting up a new connection. Strategic data acquisition for our top customers Deployment of Innovaccer solutions on host systems Testing the connectivity and working of the solutions deployed Maintaining and Tracking the progress of the ongoing developments Coordinate with the customers and the internal teams and set up business and technical meetings. Conduct secondary research and collate relevant information and capture the information in a well-documented format. Facilitate customer meetings and presentations. Engage in dialogue to understand customer requirements and expectations. Handling internal and external sign-offs. Meeting reasonable internal and external turnaround time. Keep a track of the financial impact of the team on the overall project delivery Attend relevant healthcare data conferences to engage with the vendors for streamlining data extractions at Innovaccer Attend all the relevant webinars with vendors/orgs to learn about the new and cutting edge technologies being Engage with assigned data system vendors to simplify and improve the data acquisition process What You Need Experienced in working with US clients in a customer facing role 6+ years of experience working in high-growth tech product companies Previous experience of or high levels of comfort with working on a team that spans multiple time zones Success increasing the level of visibility into the performance of the individuals on a team where job functions are shared A degree in engineering/other technical qualifications are an advantage. Good understanding of Healthcare Business, Patient Workflows and how different healthcare organizational models work like ACOs, CINs, HMOs, Payers, HIEs, MSOs, etc Hands-on experience with US healthcare Data Systems like EMRs, PM Systems, Lab systems, PBMs, etc Understanding of US healthcare data formats (CCDA, X12, HL7, FHIR etc) and data exchange methodologies ( SFTP, APIs, TCP, Snowflake, IHE, etc) Hands-on experience with tracking tools like JIRA, Confluence, or an equivalent tool. Strong knowledge of handling multiple accounts and time-bound task execution with an experience of 3+ years.

A Day in the Life at Innovaccer Create world class customer facing documentation which would delight and excite customers Remove ambiguity in understanding things by documenting things and hence making the teams more efficient and effective Convert tacit knowledge to implicit knowledge Required Skills: 3+ years of experience in SQL/ Linux / Unix. Strong experience with troubleshooting cloud-based technologies. (Linux/Unix systems). Good Exposure to workflow automation tool(s). At least must have worked as a user to a Service Desk /workflow / Monitoring tools / Runbook automation tool (CA / BMC / HP / IBM /JIRA / etc). Troubleshooting technical issues to establish the root cause of problems and form a solution or workaround across a range of environments. Analytics Tools (Sisense, Power BI or Tableau) - (Good to have) Support Processes (SLAs, OLAs, Product or application support) Collaborating with Product Managers, SMEs & BAs to create clear & concise written material. An ambitious person who can work in a flexible startup environment with only one thing in mind - getting things done. Excellent communication skill - Written and verbal. Comfortable to work in night shift and rotational shifts.

Working with different departments and business heads to bring a data-driven approach and resolve the gaps that impact decision making of the business, both in day-to-day management and in making strategic trade-offs. This Role will need to leverage latest technology and best practices to deliver results, agility, efficiency and quality for data and visualization requirements. Ensuring that our Data Analytics team align to the business objectives and supports key initiatives for the squads and tribe. Prioritize opportunities using data driven insights and solution, these opportunities using Machine Learning and AI techniques. What we are looking for - Excellent visualization skills, storytelling, and familiarity with best practices to convey insights in an intuitive and visually compelling way Experience in creating, collecting, analysing and communicating business insights from data. Experience working on metrics such as retention, churn, engagement and marketing analytics. Knowledge of Analytics self-service BI approaches and predictive analytics solutions is a strong advantage. Strong background in SQL and experience working on Python. Experience in Statistical techniques (R, hypothesis testing). Should have worked on Tableau, Google Analytics and Clevertap Knowledge of DataRobot, Azure or AWS AI/ML will be a plus Bachelors degree; MBA or relevant technical degree preferred from tier 1/2 college with 4+years of experience in Data Analytics

Mobile Premier League is looking for Sr. Data Analyst - Mpay to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Description We are seeking a Data Scientist to join our team in India. The ideal candidate will have 2-6 years of experience in data analysis and machine learning, with a strong ability to extract insights from data and communicate findings effectively. Responsibilities Analyze large sets of structured and unstructured data to derive actionable insights. Develop and implement machine learning models and algorithms to solve business problems. Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. Create data visualizations and dashboards to communicate findings effectively to stakeholders. Stay updated with the latest industry trends and technologies in data science. Skills and Qualifications Proficiency in programming languages such as Python, R, or SQL. Strong understanding of statistical analysis and machine learning techniques. Experience with data visualization tools like Tableau, Power BI, or Matplotlib. Knowledge of data manipulation libraries such as Pandas and NumPy. Familiarity with big data technologies like Hadoop or Spark is a plus. Ability to communicate complex data insights in a clear and concise manner.

Key Skills and Responsibilities Snowflake Architecture: Deep understanding of Snowflake's architecture, components, and functionalities. Snowflake cost model: Understanding of how Snowflake cost model operates and ability to improve efficiency and track costs across the platform. Database Management: Expertise in creating, managing, and optimizing databases, schemas, tables, and views. Data Modeling: Knowledge of dimensional modeling (star and snowflake schemas) for data warehousing. Data Warehousing: Knowledge of data warehousing concepts, methodologies, and best practices. SQL: Proficiency in SQL for querying, manipulating, and analyzing data. Performance Optimization: Understanding of performance tuning techniques (clustering, materialized views, warehouse sizing) to improve query performance. Security: Expertise in implementing security measures (IAM, role-based access control, data encryption, password rotation processes) to protect sensitive data. ETL/ELT Tools: Familiarity with ETL/ELT tools (e.g., HVR, SnapLogic) for data loading and transformation. Cloud Computing: Understanding of cloud concepts (e.g., scalability, elasticity, resource management) and experience with cloud platforms (AWS, Azure). Scripting: Proficiency in scripting languages (e.g., Python, Bash) for automation and data processing tasks. Reporting platform: Experience in setting up Power BI workspaces and Cognos Packages with secure data models ready for reporting. Project Management: Knowledge of project management methodologies (e.g., Agile, Waterfall) and tools. Other Skills Problem-Solving: Ability to troubleshoot and resolve technical issues efficiently. Communication: Effective communication skills to interact with stakeholders and team members. Analytical Thinking: Ability to analyze data and identify patterns and trends. Attention to Detail: Meticulous approach to ensure data accuracy and integrity. Adaptability: Willingness to learn new technologies and adapt to changing requirements. Project Management: Ability to plan, execute, and monitor projects effectively. Leadership: Ability to lead and motivate project teams. Time Management: Effective time management skills to meet project deadlines. Adaptability: Flexibility to adapt to changing project requirements. Stakeholder Management: Ability to manage expectations and build relationships with stakeholders.

Key Skills and Responsibilities Snowflake Architecture: Deep understanding of Snowflake's architecture, components, and functionalities. Snowflake cost model: Understanding of how Snowflake cost model operates and ability to improve efficiency and track costs across the platform. Database Management: Expertise in creating, managing, and optimizing databases, schemas, tables, and views. Data Modeling: Knowledge of dimensional modeling (star and snowflake schemas) for data warehousing. Data Warehousing: Knowledge of data warehousing concepts, methodologies, and best practices. SQL: Proficiency in SQL for querying, manipulating, and analyzing data. Performance Optimization: Understanding of performance tuning techniques (clustering, materialized views, warehouse sizing) to improve query performance. Security: Expertise in implementing security measures (IAM, role-based access control, data encryption, password rotation processes) to protect sensitive data. ETL/ELT Tools: Familiarity with ETL/ELT tools (e.g., HVR, SnapLogic) for data loading and transformation. Cloud Computing: Understanding of cloud concepts (e.g., scalability, elasticity, resource management) and experience with cloud platforms (AWS, Azure). Scripting: Proficiency in scripting languages (e.g., Python, Bash) for automation and data processing tasks. Reporting platform: Experience in setting up Power BI workspaces and Cognos Packages with secure data models ready for reporting. Project Management: Knowledge of project management methodologies (e.g., Agile, Waterfall) and tools. Other Skills Problem-Solving: Ability to troubleshoot and resolve technical issues efficiently. Communication: Effective communication skills to interact with stakeholders and team members. Analytical Thinking: Ability to analyze data and identify patterns and trends. Attention to Detail: Meticulous approach to ensure data accuracy and integrity. Adaptability: Willingness to learn new technologies and adapt to changing requirements. Project Management: Ability to plan, execute, and monitor projects effectively. Leadership: Ability to lead and motivate project teams. Time Management: Effective time management skills to meet project deadlines. Adaptability: Flexibility to adapt to changing project requirements. Stakeholder Management: Ability to manage expectations and build relationships with stakeholders.

Description We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have 4-8 years of experience in data analysis, with a strong ability to analyze complex datasets and provide actionable insights that drive business decisions. Responsibilities Analyze complex datasets to derive actionable insights and support business decision-making. Develop and maintain dashboards and reports to track key performance indicators. Collaborate with cross-functional teams to understand data requirements and provide analytical support. Utilize statistical methods to identify trends, patterns, and anomalies in data. Present findings and recommendations to stakeholders in a clear and concise manner. Ensure data accuracy and integrity by conducting regular data audits and validation. Skills and Qualifications 4-8 years of experience in data analysis or related field. Proficiency in data analysis tools such as SQL, Python, or R. Experience with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of statistical methods and data modeling techniques. Ability to interpret complex data and communicate findings effectively. Familiarity with database management systems and data warehousing concepts. Excellent problem-solving skills and attention to detail. Strong organizational skills and ability to manage multiple projects simultaneously.

Description The Core Data position involves managing and analyzing data to support business needs. The ideal candidate will have 6-16 years of experience in data management, analytics, or a related field, with a strong focus on data integrity and quality. Responsibilities Develop and maintain data models to support business operations. Analyze and interpret complex datasets to inform decision-making. Collaborate with cross-functional teams to gather data requirements. Ensure data quality and integrity throughout the data lifecycle. Design and implement ETL processes for data integration. Create and maintain documentation for data processes and procedures. Skills and Qualifications Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle). Experience with data visualization tools (e.g., Tableau, Power BI). Strong analytical skills and attention to detail. Knowledge of data warehousing concepts and practices. Familiarity with programming languages such as Python or R for data analysis. Excellent problem-solving skills and ability to work under pressure.

Description We are seeking an experienced SQL Developer to join our team in India. The ideal candidate will have a strong background in SQL development and database management, with a proven ability to optimize and maintain complex database systems. Responsibilities Design, develop, and maintain SQL databases and applications. Optimize database performance by analyzing and tuning SQL queries. Create and manage stored procedures, triggers, and views. Collaborate with application developers to integrate SQL solutions with applications. Ensure data integrity and security within the SQL environment. Troubleshoot and resolve database-related issues in a timely manner. Skills and Qualifications 5-15 years of experience in SQL database development and management. Proficiency in SQL programming and query optimization. Experience with database design and architecture. Knowledge of database management systems (DBMS) such as MySQL, SQL Server, or PostgreSQL. Familiarity with data modeling and ETL processes. Strong analytical and problem-solving skills. Ability to work collaboratively in a team environment. Good communication skills and attention to detail.

We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have a strong background in data analysis and visualization, with the ability to work collaboratively across departments to drive data-driven decision-making. Responsibilities Collect, clean, and analyze data from various sources to support business decisions. Develop and maintain dashboards and reports to visualize data insights. Collaborate with cross-functional teams to understand their data needs and provide analytical support. Identify trends, patterns, and anomalies in complex data sets to drive strategic initiatives. Present findings and recommendations to stakeholders in a clear and concise manner. Skills and Qualifications 5-10 years of experience in a data analytics role. Proficiency in data visualization tools such as Tableau, Power BI, or similar. Strong knowledge of SQL for data extraction and manipulation. Experience with statistical analysis and data modeling techniques. Familiarity with programming languages such as Python or R for data analysis. Excellent problem-solving skills and attention to detail. Strong communication skills to effectively convey analytical findings.

Maxgen Technologies Pvt ltd is an it company based in Ahmedabad Gujarat .Engineering and IT freshers will get data analyst internship and power bi program. Why interns Choosing us Unique and professional Program. live project in internship. hybrid mode internship. college project for interns. contact us 9099039845 . visit us www.maxgengentechnologies.com . Address Abhijeet 3, 603, Netaji Rd, near Pantaloons, Mithakhali, Ellisbridge, Ahmedabad,

Overview The Scrum Master serves as a servant leader and delivery enabler for the BI Reporting team, ensuring Agile practices are followed, blockers are removed, and delivery of high-impact Power BI dashboards is achieved with quality, speed, and technical robustness. Responsibilities Agile Facilitation Conduct all Scrum ceremonies (Daily Stand-ups, Sprint Planning, Sprint Review, Retrospective). Coach the team in Agile principles, ensuring consistent adoption of Scrum practices. Shield the team from external interruptions and distractions. Delivery Support Ensure timely delivery of Power BI dashboards and reporting commitments per sprint goals. Help manage sprint backlogs, work items, and delivery timelines in tools like Azure DevOps . Work with Product Owners to refine user stories and prioritize dashboards/reports effectively. Team Collaboration & Enablement Foster strong collaboration among BI developers, data engineers, analysts, and business users. Encourage cross-functional skill development within the team (Power BI, data modelling, storytelling). Drive problem-solving workshops (e.g., data governance issues, dashboard performance). Impediment Resolution Identify and remove blockers related to data access, tool dependencies, stakeholder decisions, etc. Escalate systemic issues to leadership or cross-functional teams as needed. Stakeholder Alignment Facilitate transparency between the BI team and business stakeholders by enabling demos and report walkthroughs. Ensure stakeholders understand progress, roadblocks, and timelines through effective communication. Continuous Improvement Encourage a culture of feedback and retrospection. Track and report team metrics (velocity, burndown, delivery lead time). Drive initiatives to improve dashboard quality, governance, and reusability. Compliance & Governance Ensure the team adheres to BI governance protocols (data security, KPI definitions, publishing standards). Support documentation practices to maintain audit trails and lineage visibility. Tech Enablement & BI Best Practices Manage technology enablement requirements for the team/programs Qualifications Education & Certifications: Bachelor's or Master's degree in Computer Science, Information Systems, Business Analytics, or a related field. Certified Scrum Master (CSM), Certified SAFe Scrum Master (SSM), or equivalent Agile certification is mandatory. Additional certifications in Agile Coaching, Product Ownership, or Project Management (e.g., PMI-ACP, PSM II, ICP-ACC) are a strong plus. Experience: 8-12 years of total experience, with at least 6 years as a dedicated Scrum Master in data, analytics, or BI-focused environments. Proven experience supporting Business Intelligence and Analytics teams, preferably in an enterprise environment. Hands-on understanding of Power BI, data modeling, ETL processes, and report lifecycle is a strong advantage. Demonstrated success facilitating Scrum/Agile delivery in teams working on dashboard/report development, data pipelines, or data warehousing. Experience working in multi-stakeholder environments with business, IT, and data governance teams. Technical & Functional Skills: Deep understanding of Agile methodologies (Scrum, Kanban) and hands-on experience in Agile tools (Azure DevOps.). Working knowledge of Power BI platform, report publishing cycles, and governance best practices. Ability to understand BI user personas, data storytelling, and dashboard performance considerations. Strong understanding of data security, access management, and version control in reporting environments. Soft Skills & Leadership Attributes: Excellent facilitation, coaching, and conflict-resolution skills. Strong verbal and written communication, especially when working with business stakeholders and technical teams. Track record of driving continuous improvement, team empowerment, and Agile maturity. Ability to manage dependencies, coordinate with cross-functional teams, and resolve organizational impediments. A proactive mindset with a strong sense of ownership and accountability.

Role Description: We are looking for a skilled MDM Testing Associate Analyst who will responsible for ensuring the quality and integrity of Master Data Management (MDM) applications through rigorous testing processes. This role involves collaborating with cross-functional teams to define testing objectives, scope, and deliverables, and to ensure that master data is accurate, consistent, and reliable. and comply with Amgens standard operating procedures, policies, and guidelines. Your expertise will be instrumental in ensuring quality and adherence to required standards so that the engineering teams can build and deploy products that are compliant. Roles & Responsibilities: Test Planning: Develop and implement comprehensive testing strategies for MDM applications, including defining test objectives, scope, and deliverables. This includes creating detailed test plans, test cases, and test scripts. Test Execution: Execute test cases, report defects, and ensure that all issues are resolved before deployment. This involves performing functional, integration, regression, and performance testing. Data Analysis: Analyze data to identify trends, patterns, and insights that can be used to improve business processes and decision-making. This includes validating data accuracy, completeness, and consistency. Collaboration: Work closely with the MDM, RefData and DQDG team and other departments to ensure that the organizations data needs are met. This includes coordinating with data stewards, data architects, and business analysts. Documentation: Maintain detailed documentation of test cases, test results, and any issues encountered during testing. This includes creating test summary reports and defect logs. Quality Assurance: Develop and implement data quality metrics to ensure the accuracy and consistency of master data. This includes conducting regular data audits and implementing data cleansing processes. Compliance: Ensure that all master data is compliant with data privacy and protection regulations. This includes adhering to industry standards and best practices for data management. Training and Support: Provide training and support to end-users to ensure proper use of MDM systems. This includes creating user manuals and conducting training sessions Stay current on new technologies, validation trends, and industry best practices to improve validation efficiencies. Collaborate and communicate effectively with the product teams. Basic Qualifications and Experience: Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR Bachelors degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: 2+ years of experience in MDM implementations, primarily with testing (pharmaceutical, biotech, medical devices, etc.) Extensive experience on ETL/ELT and MDM testing (Creating test plan, test scripts and execution of test scripts and bugs tracking/reporting in JIRA) Informatica MDM: Proficiency in Informatica MDM Hub console, configuration, IDD (Informatica Data Director), IDQ, and data modeling or Reltio MDM: Experience with Reltio components, including data modeling, integration, validation, cleansing, and unification. Advanced SQL: Ability to write and optimize complex SQL queries, including subqueries, joins, and window functions. Data Manipulation: Skills in data transformation techniques like pivoting and unpivoting. Stored Procedures and Triggers: Proficiency in creating and managing stored procedures and triggers for automation. Python: Strong skills in using Python for data analysis, including libraries like Pandas and NumPy etc. Automation: Experience in automating tasks using Python scripts. Machine Learning: Basic understanding of machine learning concepts and libraries like scikit-learn. Strong problem-solving and analytical skills Excellent communication and teamwork skills Good-to-Have Skills: ETL Processes: Knowledge of ETL processes for extracting, transforming, and loading data from various sources. Data Quality Management: Skills in data profiling and cleansing using tools like Informatica. Data Governance: Understanding of data governance frameworks and implementation. Data Stewardship: Ability to work with data stewards to enforce data policies and standards. Selenium: Experience with Selenium for automated testing of web applications. JIRA: Familiarity with JIRA for issue tracking and test case management. Postman: Skills in using Postman for API testing. Understanding of compliance and regulatory considerations in master data. In depth knowledge of GDPR and HIPPA guidelines. Professional Certifications : MDM certification (Informatica or Reltio) SQL Certified Agile or SAFe certified Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

What you will do The R&D Precision Medicine team is responsible for Data Standardization, Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with access to Amgens wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These data include clinical data, omics, and images. These solutions are pivotal tools in Amgens goal to accelerate the speed of discovery, and speed to market of advanced precision medications. The Data Engineer will be responsible for full stack development of enterprise analytics and data mastering solutions leveraging Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing enterprise solutions that support research cohort-building and advanced AI pipelines. The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions, and be exceptionally skilled with data analysis and profiling. You will collaborate closely with partners, product team members, and related IT teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a solid background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering. Roles & Responsibilities Design and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data management tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Break down features into work that aligns with the architectural direction runway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentation from data analysis and profiling, and proposed designs and data logic Develop advanced sql queries to profile, and unify data Develop data processing code in sql, along with semantic views to prepare data for reporting Develop PowerBI Models and reporting packages Design robust data models, and processing layers, that support both analytical processing and operational reporting needs. Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability. Collaborate with partners to define data requirements, functional specifications, and project goals. Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is someone with these qualifications. Basic Qualifications: Masters degree with 1 to 3 years of experience in Data Engineering OR Bachelors degree with 1 to 3 years of experience in Data Engineering Must-Have Skills: Minimum of 1 year of hands-on experience with BI solutions (Preferrable Power BI or Business Objects) including report development, dashboard creation, and optimization. Minimum of 1 year of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Experience using cloud platforms (AWS), data lakes, and data warehouses. Working knowledge of ETL processes, data pipelines, and integration technologies. Good communication and collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional hands-on capabilities with data profiling and data anlysis Good-to-Have Skills: Experience with human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications: ITIL Foundation or other relevant certifications (preferred) SAFe Agile Practitioner (6.0) Microsoft CertifiedData Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity Highest degree of initiative and self-motivation Strong verbal and written communication skills, including presentation to varied audiences of complex technical/business topics Confidence technical leader Ability to work effectively with global, virtual teams, specifically including using of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources

Coordinate changes, testing, and implementation of computer databases using knowledge of database management systems Collaborate with senior management, technical teams, and clients to define data requirements and implementation strategies Write and code logical and physical database descriptions, specifying identifiers for the management system or guide others in doing so Design, develop, automate, and maintain large-scale enterprise ETL (Extract, Transform, Load) processes Modify existing databases and database management systems or direct necessary changes Test programs and databases, identify errors, and implement necessary modifications to ensure data integrity and performance Provide best practices for data storage, manipulation, and advanced analytics strategies Support troubleshooting activities and resolve database and ETL process issues effectively Enable data-driven decision-making by delivering high-quality, reliable, and well-organized datasets to business stakeholders

The R&D Data Catalyst Team is responsible for building Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgens wealth of human datasets, projects and study histories, and knowledge over various scientific findings . These solutions are pivotal tools in Amgens goal to accelerate the speed of discovery, and speed to market of advanced precision medications . The Data Engineer will be responsible for the end-to-end development of an enterprise analytics and data mastering solution leveraging Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing enterprise solutions that research cohort-building and advanced research pipeline . The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions , and be exceptionally skilled with data analysis and profiling . You will collaborate closely with stakeholders , product team members , and related I T teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a strong background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering. Roles & Responsibilities: Design and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Break down features into work that aligns with the architectural direction runway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentation from data analysis and profiling, and proposed designs and data logic Develop advanced sql queries to profile, and unify data Develop data processing code in sql, along with semantic views to prepare data for reporting Develop PowerBI Models and reporting packages Design robust data models, and processing layers, that support both analytical processing and operational reporting needs. Design and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability. Collaborate with stakeholders to define data requirements, functional specifications, and project goals. Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. Basic Qualifications and Experience: Masters degree with 1 to 3years of experience in Data Engineering OR Bachelors degree with 4 to 5 years of experience in Data Engineering Diploma and 7 to 9 years of experience in Data Engineering. Functional Skills: Must-Have Skills : Minimum of 3 years of hands-on experience with BI solutions (Preferrable Power BI or Business Objects) including report development, dashboard creation, and optimization. Minimum of 3years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Deep understanding of Power BI, including model design, DAX, and Power Query. Proven experience designing and implementing data mastering solutions and data governance frameworks. Expertise in cloud platforms (AWS), data lakes, and data warehouses. Strong knowledge of ETL processes, data pipelines, and integration technologies. Strong communication and collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional hands-on capabilities with data profiling, data transformation, data mastering Success in mentoring and training team members Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experience with human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications (please mention if the certification is preferred or mandatory for the role): ITIL Foundation or other relevant certifications (preferred) SAFe Agile Practitioner (6.0) Microsoft Certified: Data Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity Highest degree of initiative and self-motivation Strong verbal and written communication skills, including presentation to varied audiences of complex technical/business topics Confidence technical leader Ability to work effectively with global, virtual teams, specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources