4258 Data Quality Jobs - Page 28

Senior Data Engineer with a deep focus on data quality, validation frameworks, and reliability engineering . This role will be instrumental in ensuring the accuracy, integrity, and trustworthiness of data assets across our cloud-native infrastructure. The ideal candidate combines expert-level Python programming with practical experience in data pipeline engineering, API integration, and managing cloud-native workloads on AWS and Kubernetes . Design, develop, and deploy automated data validation and quality frameworks using Python. Build scalable and fault-tolerant data pipelines that support quality checks across data ingestion, transformation, and delivery. Integrate with REST APIs to validate and enrich datasets across distributed systems. Deploy and manage validation workflows using AWS services (EKS, EMR, EC2) and Kubernetes clusters. Collaborate with data engineers, analysts, and DevOps to embed quality checks into CI/CD and ETL pipelines. Develop monitoring and alerting systems for real-time detection of data anomalies and inconsistencies. Write clean, modular, and reusable Python code for automated testing, validation, and reporting. Lead root cause analysis for data quality incidents and design long-term solutions. Maintain detailed technical documentation of data validation strategies, test cases, and architecture. Promote data quality best practices and evangelize a culture of data reliability within the engineering teams. Required Skills: Experience with data quality platforms such as Great Expectations , Collibra Data Quality , or similar tools. Proficiency in Docker and container lifecycle management. Familiarity with serverless compute environments (e.g., AWS Lambda, Azure Functions), Python, PySpark Relevant certifications in AWS , Kubernetes , or data quality technologies . Prior experience working in big data ecosystems and real-time data environments.

Key Responsibilities: Design and develop interactive dashboards, stories, and visualizations using SAP Analytics Cloud. Work with stakeholders to gather and translate business requirements into technical specifications. Develop data models within SAC using live or imported data connections (SAP HANA, BW, S/4HANA, etc.). Integrate SAC with SAP and non-SAP data sources using connectors, OData services, and APIs. Optimize dashboards for performance, responsiveness, and usability across devices. Implement planning models, input forms, and predictive features (if SAC Planning is used). Ensure data quality, security, and access control according to organizational standards. Collaborate with the SAP BASIS, BW, HANA, and functional teams for backend support and integration. Provide training and documentation for end users and business teams. Stay up to date with new SAC features, releases, and best practices

Visa Inc. is seeking a highly skilled Data Engineer to join our Data Analytics team. The ideal candidate will possess strong data engineering skills, analytical domain knowledge, and experience with Google Analytics data, GA4 behavioral data pipelines, and Google BigQuery. Additionally, the candidate should have knowledge of Generative AI (GenAI) frameworks, a keen interest in exploring automation opportunities in the data engineering domain, and a solid understanding of dealing with big data and querying it effectively. This role will be pivotal in developing and maintaining data pipelines and analytical solutions to enhance our digital presence and improve customer engagement. Responsibilities: Design, develop, and implement data integration and analytics solutions using Google Analytics data and Google BigQuery. Architect and maintain scalable data pipelines for GA4 behavioral data, ensuring data quality and integrity. Collaborate with cross-functional teams to gather requirements and deliver data-driven business solutions. Perform data cleaning, transformation, and analysis to provide actionable insights. Develop and maintain ETL processes using technologies such as Hadoop, Hive, Spark, and SQL. Optimize data queries and manage data storage solutions to support advanced analytics. Implement best practices for data engineering and ensure compliance with data governance policies. Explore and implement automation opportunities in data engineering using GenAI frameworks. Provide technical support and troubleshooting for data-related issues. Handle large-scale data processing and querying using tools like Google BigQuery, ensuring efficient data retrieval and analysis. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications Bachelors degree in Computer Science, Information Technology, or a related field.

Role Overview We are seeking a Software Engineer with MLOps skills to contribute to the deployment, automation, and monitoring of GenAI and LLM-based applications . You will work closely with AI researchers, data engineers, and DevOps teams to ensure seamless integration, scalability, and reliability of AI systems in production. Key Responsibilities 1. Deployment & Integration Assist in deploying and optimizing GenAI/LLM models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI). Integrate AI models with APIs, microservices, and enterprise applications for real-time use cases. 2. MLOps Pipeline Development Contribute to building CI/CD pipelines for automated model training, evaluation, and deployment using tools like MLflow, Kubeflow, or TFX. Implement model versioning, A/B testing, and rollback strategies. 3. Automation & Monitoring Help automate model retraining, drift detection, and pipeline orchestration (Airflow, Prefect). Assist in designing monitoring dashboards for model performance, data quality, and system health (Prometheus, Grafana). 4. Data Engineering Collaboration Work with data engineers to preprocess and transform unstructured data (text, images) for LLM training/fine-tuning. Support the maintenance of efficient data storage and retrieval systems (vector databases like Pinecone, Milvus). 5. Security & Compliance Follow security best practices for MLOps workflows (model encryption, access controls). Ensure compliance with data privacy regulations (GDPR, CCPA) and ethical AI standards. 6. Collaboration & Best Practices Collaborate with cross-functional teams (AI researchers, DevOps, product) to align technical roadmaps. Document MLOps processes and contribute to reusable templates. Technical Skills Languages: Proficiency in Python and familiarity with SQL/Bash. ML Frameworks: Basic knowledge of PyTorch/TensorFl

You Lead the Way. We ve Got Your Back. This role is for Data Testing Analyst in the Regulatory Reporting automation program. This individual will be responsible for assisting the Business Specialist Manager drive the definition, gathering, exploration, and analysis of Finance data to deliver the end-to-end automation of our regulatory reporting platform. This individual will assist the organization coordinate with several groups within American Express during designing, implementing, and migrating the implemented solution into production. The individual selected will partner closely with Business Specialist Manager and Product Owners to support defining functionality to be built, collaborate with Technology to design how functionality will work and validate at regular intervals that the software features developed align with original requirements provided to the team. How will you make an impact in this role Support data analysis on existing processes and datasets to understand and support Point of Arrival (POA) process design Support and guide determining portfolios, data elements and grain of data required for designing processes Support team review data scenarios and provide clarification on how to report on these scenarios in alignment with regulatory guidance Identify and support business requirements, functional design, prototyping, testing, training, and supporting implementations Support developing functional requirement documents (FRDs) and process specific design documentation to support process and report owner requirements Document and understand core components of solution architecture including data patterns, data-related capabilities, and standardization and conformance of disparate datasets Support the implementation of master and reference data to be used across operational and reporting processes Participate in daily meetings with the pods (implementation groups for various portfolios of the Company for data sourcing and regulatory classification and reporting). Coordinate with various Product Owners, Process Owners, Subject Matter Experts, Solution Architecture colleagues, and Data Management team to ensure builds are appropriate for American Express products Participate on user acceptance testing, parallel run testing, and any other testing required to ensure the build meets the requirements authored including development and execution of test cases, and documentation of results Assist on development of executable testing algorithms that enable validation of the expected system functionality, including replication of deterministic logic and filtering criteria Minimum Qualifications SQL and data analysis experience (Minimum experience - 4 plus years) Product/platform understanding and process design experience Knowledgeable about Financial Data Warehouse and Reporting Solutions (such as ODS, AxiomSL, OFSAA, and Hadoop concepts) Knowledgeable in Data Analytics/profiling Knowledgeable with creating S2T and Functional designs Knowledgeable in creating Data Mappings, analyzing the SOR (System of Record) data, implementing Data Quality Rules to identify data issues in SORs Experience with of MS Excel and Power Query Testing management and execution experience Foundational data warehousing principles and data modeling experience is a plus Agile trained is a plus Financial reporting or accounting experience is a plus A good understanding of the banking products is a plus Exhibits organizational skills with the ability to meet/exceed critical deadlines and manage multiple deliverables simultaneously A self-starter, proactive team player with a passion to consistently deliver high quality service and exceed customers expectations Excellent written and verbal communications with ability to communicate highly complex concepts and processes in simple terms and pragmatically across Finance, Business and Technology stakeholders Excellent relationship building, presentation and collaboration skills Knowledge of US Regulatory Reports (Y9C, Y14, Y15, 2052a, amongst others) Working exposure in data analysis and testing of financial data domains to support regulatory and analytical requirements for large scale banking/financial organizations Experience in development of testing automation capabilities Experience in Cloud capabilities : Competitive base salaries Bonus incentives Support for financial-well-being and retirement. Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need. Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program. Career development and training opportunities

Job Family : Advanced Business Analysis (India) Travel Required : None Clearance Required : None What You Will Do : Understand client requirements, elaborate to details, create user stories, and groom the user stories with the team, work with the team to define solution and provide recommendations back to the customer based on qualitative / quantitative research Perform internal data analysis and data quality checks. Analyze results, interpret, and communicate things to the business Design and implement best practices, guidelines, and repeatable processes Focus on reusing in the projects Reducing the rework effort Experience in working on large datasets in MS Excel Previous experience in delivering the products on-time and with good quality Agile/Scrum projects experience Experience in wire framing and workflow diagrams creation What You Will Need : B.Tech in CSE/ECE,MCA 3 + years experience in working as BA Ability to interpret data from multiple sources, SQL basics is must Naturally curious and passionate about numbers, data, metrics, KPIs Excellent communication skills; able to interact stakeholders at different levels and present take-away insights Capable of anticipating potential issues/problems and highlight the risks with the leads Self motivated and Passion in delivering the quality. What Would Be Nice To Have : Statistics basics Domain knowledge in healthcare or Energy(Power generation) Data Analytics experience Product development/support experience Basic understanding of any of the visualization tools(Power BI, Tableau, Spotfire)

Who are we Equinix is the world s digital infrastructure company , operating over 260 data centers across the globe. Digital leaders harness Equinixs trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Our culture is based on collaboration and the growth and development of our teams. We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Job Summary Partners with relevant functional and technical teams to support Oracle cloud applications aligned to the business and IT strategy, as well as the support of those applications. Responsibilities Provide first-line support to users of Oracle Cloud ERP Responding to help desk queries Providing one-on-one support, explanations, and guidance to users regarding finance operations Triaging data issues, process issues, and user errors before escalating to IT Performs financial systems maintenance (e.g., Chart of Accounts, Revaluation rules, open/close periods, alternate reporting hierarchies, etc.) Schedules system processes Troubleshoots interface/import file issues Monitor inbound/outbound interfaces for data issues, ensuring system synchronization Maintain and set up globally consistent standard reports and provide ad-hoc reporting guidance Liaise with IT and business users to define and prioritize business-related issues associated with systems Use a broad understanding of business and systems to identify possible business issues related to system designs and evaluate enhancement requests from users Partner with other system owners to ensure data quality, timing, and financial reporting impacts are fully understood Coordinate user acceptance testing for new system or enhancement releases. This involves assistance with the creation of test cases and follow-up to ensure users complete testing per the schedule Documentation Follows guidelines and templates relevant to a particular technology stack to produce the necessary project artifacts Testing & Test Design Owns specific modules in the application and develops test cases based on requirements and technical design Defines test strategy and execution approach to test specific modules of an application Coordinates with stakeholders and obtains relevant signoffs Clarifies defects, triage, and coordinates resolution with engineering teams System Configurations Develops mastery in configurations of specific module/modules of an application Brings in best practices by keeping up-to-date with the technology and vendor products Documents configurations for future use and training Day to Day Support (Production Support) Supports first level resources Triages and troubleshoots issues Works with various functions within GTS to ensure RCA is complete and SLAs are met Training and Change Management Works directly with functional SMEs and management teams to coordinate SME training requirements and execution Communicates status against key support issues Provides status against plans and escalates issues Qualifications 5+ years experience in analytics Bachelors in Information Systems, Business or related field, cross-functional Academic background in Accounting, Commerce, Finance, IT, or related fields Extensive years of experience working within the finance and accounting organization of a Fortune 1000 company Worked on Oracle Cloud applications like Oracle General Ledger, Accounts Payables, Accounts Receivables, Purchasing and Exposure to the Finance process Strong problem-solving skills Ability to understand and assimilate new ideas and manage change Willingness to aggressively set and achieve goals with a minimum of direction Excellent planning and organizational skills combined with strong written and oral communication skills Strong analytical skills and some technical accounting knowledge with strong attention to detail Strong problem-solving and decision-making abilities Hands-on experience with Oracle EBS or Oracle Cloud ERP 5 years experience in multinational companies Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form .

Lilly s Purpose Come bring to life technologies to lead in Pharma-tech! The Enterprise Data organization has developed an integrated and intuitive data and analytics platform. This platform enables Lilly team members to quickly ingest, transform, consume, and analyze data sets in statistical environments, advanced analytics environments, and BI/visualization tools. Contributors can easily ingest, prepare, and analyze new data sets (cleanse, enhance, publish) for others to utilize. for data sharing and analytics. Key Responsibilities Understand Business Needs: Collaborate with business stakeholders to understand data needs, business objectives, and specific operational requirements. Document Business Requirements: Capture and document clear, detailed business requirements related to data management, processing, reporting, and analytics. Define Data Specifications: Work with the technical operations team to define data requirements for data integration, transformation, and storage, ensuring data is captured and processed correctly. Data Mapping: Develop data mapping documents that translate business requirements into technical data structure specifications. Process Improvement: Identify opportunities to optimize current data processes to increase efficiency, reduce redundancy, and improve data quality. Workflow Design: Work with the technical team to design, develop, and improve data workflows, ensuring smooth data flow across various systems (e.g., data lakes, warehouses, or operational databases). Business Rules and Logic: Define and document business rules that guide data processing, reporting, and analytics. Data Validation: Ensure data is accurate, consistent, and reliable by working with the technical team to design validation rules and perform quality checks. Data Monitoring: Monitor data quality post-deployment and collaborate with the operations team to identify and resolve data quality issues in real-time. Root Cause Analysis: Assist in performing root cause analysis for data discrepancies or failures and support the implementation of corrective measures. Cross-Functional Collaboration: Work closely with technical teams (e.g., Data Engineers, Data Analysts, Data Operations Engineers) to ensure seamless data integration and operations. Stakeholder Communication: Regularly communicate with business stakeholders to provide status updates, gather feedback, and ensure alignment between business objectives and technical implementations. Training & Documentation: Create and maintain documentation for business requirements, system processes, and training materials for business users to understand data processes and reports. Reporting Support: Support business teams in defining data requirements for reporting and analytics by ensuring that data is structured and accessible for analysis. Key Metrics Definition: Assist in defining key metrics and KPIs for business reporting, ensuring data is prepared and aligned for meaningful insights. Dashboards & Visualizations: Work with the technical team to ensure the creation and maintenance of dashboards or data visualization tools that meet business needs. Requirements Change Management: Manage any changes in business requirements, ensuring proper documentation, impact analysis, and communication to stakeholders. Impact Assessment: Work with the team to assess the potential impact of changes to existing data systems or processes, ensuring minimal disruption to business operations. Monitor Trends: Stay informed on industry best practices, emerging tools, and technologies related to data analytics and operations to help optimize processes and improve operational effectiveness. Feedback Loop: Regularly gather feedback from stakeholders to refine data processes and ensure that evolving business needs are met by the data operations team Qualifications/Skills: MBA/ or bachelor s degree in computer science, information technology, management information systems or equivalent work experience Experience with software development from project initiation to deployment, support, and retirement. 5+ years of work experiences including Information Technology experience in multiple technical areas and roles. Willingness to work in rotational shifts. Knowledge of AWS or similar Cloud platform Experience with defining services for new capabilities Knowledge of and experience with system integration, architecture and database design. Demonstrated ability to learn new technologies quickly and manage multiple priorities. Demonstrated leadership skills and abilities. . .

Job Title: Data Strategist Commercial & Corporate Data Location: Warsaw, hybrid (3+2) Position Summary: We are seeking a visionary and technically skilled Sr Manager - Commercial & Corporate Functions Data Strategy to lead the design, governance, and strategic alignment of commercial and corporate data assets. This role will be pivotal in shaping our enterprise data architecture, enabling data-driven decision-making, and ensuring data integrity across business units such as Sales, Marketing, Finance, Legal, and HR. As a People Leader, the Sr Manager will be leading a Team of 2 associates. In this role, a typical day will include: Stakeholder Engagement Partner with business units to understand data needs and translate them into architectural solutions. Enable data driven decision-making across Commercial & Corporate Functions. Act as a trusted advisor to senior leadership on data capabilities and innovation opportunities. Data Strategy & Governance Develop and execute a comprehensive data strategy aligned with business goals. Define data standards & policies, and support governance frameworks for commercial and corporate data domains. Collaborate with data stewards and business leaders to ensure data quality, consistency, and compliance. Business/Systems Analysis & Design Capture business requirements and collaborate with Data Architects to design scalable, secure, and high-performing data architectures (data lakes, warehouses, marts). Set priorities for integration of structured and unstructured data from internal and external sources. Technology & Innovation Drive adoption of data visualization & analytics solutions and modern architectural paradigms to provide value to the Business. Stay current with industry trends and emerging technologies in data management and analytics. Data Enablement Support self-service analytics and data democratization initiatives. Enable advanced analytics, AI/ML, and business intelligence through robust data foundations. WHAT YOU LL BRING TO ALCON: Bachelor s or Master s degree in Computer Science, Data Science, Information Systems, or related field. 7+ years of experience in data analysis & visualization, data strategy, or enterprise data management. Strong knowledge of data modeling, data integration, and data governance frameworks. Familiarity with regulatory and compliance requirements (e.g., GDPR, SOX, HIPAA). Excellent communication, leadership, and stakeholder management skills. Preferred Skills: Experience in commercial or corporate data domains (e.g., CRM, ERP, HRIS, financial systems). Certifications such as CDMP, TOGAF, or cloud architecture credentials. Knowledge of data cataloging tools (e.g., Atlan, Collibra, Alation) and lineage tracking. Hands-on experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, GCP BigQuery). HOW YOU CAN THRIVE AT ALCON: Opportunity to work in best-in-class Organization among Medical Devices/Equipment sector. Truly international environment and daily interactions with colleagues from all over the world. Attractive benefits package (private medical care, group insurance, lunch card, transportation allowance, pension plan, Multisport/cultural card, Alcon products for you and your significant other). Company car or car allowance Permanent employment contract, attractive base salary and annual bonus. Hybrid model of work (3/2, weekly), Brand new office in Marynarska 15, Warsaw, with a lot of facilities inside. Alcon Careers See your impact at alcon.com/careers ATTENTION: Current Alcon Employee/Contingent Worker If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site. Find Jobs for Employees Find Jobs for Contingent Worker

Company Overview What Youll Do: Ability to design, structure, and maintain data effectively and securely Design and manage relational databases to support enterprise applications and physical data modeling according to project requirements Integrate disparate applications across the firm into unified data platform design Engage in identifying architectural weaknesses or data integrity problems and recommend appropriate solutions Advocate enterprise architecture principles and articulate values propositions to departmental data owners and stewards Participate and provide data strategy expertise to technology projects and initiatives Assess Data management and functional capabilities for potential vendor solutions Partner with business functions and leaders to prioritize business information needs Integrate and implement AI and machine learning models to enhance data analytics and decision-making processes. Collaborate with data scientists and AI engineers to integrate AI solutions into the data architecture. What Youll Need: Bachelor s degree in engineering, Science, Information Technology, or other related Discipline 6+ years of experience in IT Technical Analysis, implementation of Data Warehousing, Data Mart, relational Databases, and Business Intelligence initiatives Experience in implementing and administering relational databases and data warehouse solutions Expertise with ETL processes, data APIs, and data structuring Hands-on experience with writing SQL and building complex queries Experience with AWS cloud services (Aurora, S3, EC2, Redshift) Understand principles of data design, data modeling, and data architecture Deep experience in logical, physical, and semantic data modeling Extensive technical knowledge, analytical skills, and creative thinking for problem-solving Proficiency in AI and machine learning frameworks is important. Experience in integrating and deploying AI models in a production environment. Understanding of AI algorithms and their applications in data analytics. Motivated team player with excellent distance interpersonal skills Ability to work both independently and collaboratively within geographically dispersed teams Ability to self-learn, develop and apply business and technical knowledge quickly Excellent communication and influencing skills Experience in data governance and data quality a plus Experience working with Finance business units a plus

About the Job We are seeking a highly skilled and experienced Specialist in SAP Analytics to join our team. As a specialist, you will play a vital role in building and configuring analytical reports in the areas of SAP Business Warehouse(BW4HANA) and Embedded Analytics (S4HANA-CDS Views), collaborating with other developers to ensure efficient and effective solutions for M&S(Manufacturing and Supply). What you will be doing: The ideal candidate should possess a minimum of 8 years of SAP Analytics application expertise in SAP BW and 4 years of Embedded Analytics (S4HANA-CDS Views). SAP Analytics Specialist will validate design and effort estimates, manage change requests, review requirements and specifications, develop analytical solutions, participate in projects, scope new demands, and provide business advisory on SAP solutions. They will focus on embedded analytics (CDS views) and SAP Business Warehouse reports, ensuring data quality, performance, and integration. Main responsibilities: Embedded Analytics (S4HANA - CDS View) Development: Design and develop CDS views to provide data models for embedded analytics applications. Collaborate with business users and data architects to define data requirements and create efficient CDS views. Ensure data quality, consistency, and performance of CDS views. SAP Analytics Report Development: Create and maintain SAP Analytics reports using SAC tool, based on data models from SAP BW4HANA and/or Embedded Analytics(S4HANA - CDS Views). Develop complex reports and dashboards to meet the analytical needs of business users. Optimize report performance and improve data visualization for effective decision-making. Data Integration: Integrate data from various sources (e.g., S/4HANA, SAP ECC, external systems) into BW and CDS views. Develop data extraction, transformation, and loading (ETL) processes using BWs ETL capabilities and work with the Integration team to facilitate data sharing using IICS. Data Modelling: Design and implement data models in BW and CDS views to support analytical requirements using industry best practices. Ensure data consistency and integrity throughout the data landscape. Performance Optimization: Analyse report performance and identify bottlenecks. Implement optimization techniques to improve query performance and reduce system load. Technical Support: Provide technical support for embedded analytics and BW4HANA reporting solutions. Troubleshoot issues and resolve problems related to data, reports, and performance. Collaboration: Work closely with business analysts, data architects, and developers to understand requirements and deliver effective solutions. Collaborate with other teams to ensure data integration and consistency across the organization. Demonstrate openness and adaptability to work effectively with colleagues from diverse cultural backgrounds (Spain, Italy, France, etc.). Leverage experience in international or multicultural environments to foster strong collaboration across geographically distributed teams. About you Experience 8+ years of SAP Analytics experience in total with 2+ years of experience doing ERP delivery in a business-oriented context, preferably in a global company. Extensive experience in implementing and maintaining SAP BW4HANA, Embedded Analytics (S4HANA - CDS Views) & SAC (SAP Analytics Cloud). Must have good knowledge of functional modules like SD, MM, PP, PM, and eWM for SAP Analytics. ERP transformation experience in a global company Executive-level communication and engagement skills, both written and verbal Strong configuration experience, ability to determine when to use configuration vs. code as well as advanced troubleshooting skills. Ability to translate functional specifications into technical design documents, provide efforts and cost estimates, and manage delivery of the desired functionality. Maintain a high level of quality while working on complex problems under pressure and deadlines. Guide Data Migration teams with master data & transactional data loads. Project management experience; continuous improvement skills and mindset. Experience with multi-geography, multi-tier service design and management. Deep understanding of Application and Technology Architecture. Knowledge of SAP S/4 HANA is a must in the Embedded Analytics (CDS Views) context. Knowledge of agile ways of working is a plus. Knowledge of current ERP software trends in their area of expertise is a plus. Knowledge of Snowflake and IICS for integration is a plus. Knowledge of AI ML capabilities is a plus. Soft skills Demonstrated conflict resolution & problem-solving skills in a global environment. Strong appetite to learn and discover. Adaptable and open to changes. Company-first mindset: able to put the interests of the company before their own or those of their teams if applicable. Excellent analytical skills: able to frame and formalize problem statements and formulate robust solution proposals clearly and concisely. Autonomous and Results-driven. Role model our 4 values: teamwork, integrity, respect, courage Education Bachelor s Degree or equivalent in Information Technology or Engineering Languages Fluent spoken and written English When joining our team, you will experience: If you have a passion for SAP Analytics Industrial processes (Manufacturing and Supply) or Back Office and are looking for a challenging role where you can make a significant impact, we would love to hear from you. An international work environment in which you can develop your talent and realize ideas and innovations within a highly competent team. Your own career path within Sanofi. Your professional and personal development will be supported purposefully. Better is out there. Better medications, better outcomes, better science. But progress doesn t happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let s be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity At Sanofi, diversity and inclusion are foundational to how we operate and embedded in our Core Values. We recognize that to truly tap into the richness diversity brings, we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients, and customers. We respect and celebrate the diversity of our people, their backgrounds, and experiences, and provide equal opportunity for all.

What You'll Do Want to kick off an exciting career with a growing cloud technology business? Avalara is looking for highly energetic, customer-centric, driven professionals to join our Sales Development organization as an Account Development Representative (ADR) supporting our North American Market. Experience supporting and clients from the North American Region is mandatory. Using your natural sales instincts, you will gain experience interacting with clients and prospects of all levels in different industries and across North America. You are eager to grow through a clearly defined learning and earning path. Avalara offers an environment where you will be provided the tools, resources, and leadership to sell business solutions and take your career to the next level. This role is based in Pune and reports to the Sales Manager. What Your Responsibilities Will Be Respond to and qualify incoming web and phone inquiries regarding Avalara products. Become an expert on products and services to be sold and maintain relevant industry knowledge. Create a great first impression to our prospects and customers by providing them with a world class experience. Drive customer participation in webinars, certification events, and/or conferences Maintain active engagement with new and existing leads through creative follow-up communications designed to increase customer interest in Avalara products. Achieve monthly quotas of qualified and sales accepted opportunities. Actively collaborate as a team member within the department and the organization as a whole Manage Accounts and build up your sales pipeline. Generating the right party contacts through the accounts assigned Supporting US clientele and will be required to work in Night Shifts What You'll Need to be Successful Minimum bachelor's degree is preferred. 34-year relevant professional experience in Outbound Sales Account Based Marketing (ABM) Experience being held to and motivated by metrics. Experience supporting and clients from the North American Region is a must

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : Data Engineering, Databricks Unified Data Analytics PlatformMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives. You will also monitor and optimize existing data processes to enhance performance and reliability, while staying updated with the latest industry trends and technologies to continuously improve data management practices. 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.- Collaborate with stakeholders to gather and analyze data requirements.- Design and implement data models that support business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with Data Engineering, Databricks Unified Data Analytics Platform.- Strong understanding of ETL processes and data integration techniques.- Experience with data quality assurance and data governance practices.- Familiarity with cloud-based data solutions and architecture. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationTHIS DEMAND IS FOR ATCAMA . JD as UnderData Engineering skills:Knowledge of data integration, data warehousing, and data lake technologies. Data Quality and Governance skills:Experience with data quality tools, data governance frameworks, and data profiling techniques. Programming skills:Proficiency in languages like Java, Python, or SQL, depending on the specific role. Cloud computing skills:Experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Problem-solving skills:Ability to troubleshoot data issues and identify solutions. As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. 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 data governance strategy implementation- Develop and maintain data governance frameworks- Conduct data quality assessments Professional & Technical Skills: - Strong understanding of data governance principles- Experience in implementing data governance solutions- Knowledge of data privacy regulations- Familiarity with data quality management practices Additional Information:- The candidate should have a minimum of 5+ years of experience in Atacama Data Governance.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : OneTrust Privacy Management Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions to enhance data accessibility and usability. 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.- Develop and optimize data pipelines to ensure efficient data flow and processing.- Monitor and troubleshoot data quality issues, implementing corrective actions as necessary. Professional & Technical Skills: - Must To Have Skills: Proficiency in OneTrust Privacy Management.- Good To Have Skills: Experience with Data Governance.- Strong understanding of data architecture and data modeling principles.- Experience with ETL tools and data integration techniques.- Familiarity with data quality frameworks and best practices. Additional Information:- The candidate should have minimum 7.5 years of experience in OneTrust Privacy Management.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark, Microsoft Azure Databricks, Microsoft Azure Analytics Services, Microsoft Azure Data Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. 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.- Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark, Microsoft Azure Databricks, Microsoft Azure Data Services, Microsoft Azure Analytics Services.- Strong experience in designing and implementing data pipelines.- Proficient in data modeling and database design.- Familiarity with data warehousing concepts and technologies.- Experience with data quality and data governance practices. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI CO Finance- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP FI CO Finance- 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 : Guidewire Digital Portals Good to have skills : React.jsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Architect, you will analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. 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.- Analyze and design new business processes to create documentation for implementation.- Partner with the business to define product requirements and use cases.- Participate in user and task analysis to represent business needs.- Collaborate with cross-functional teams to ensure successful process implementation.- Identify areas for process improvement and recommend solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire Digital Portals.- Good To Have Skills: Experience with React.js.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 2 years of experience in Guidewire Digital Portals.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD)- This position is based in Mumbai- 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 : SAP ABAP Development for HANA Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and providing solutions to work-related problems. A typical day in this role involves collaborating with the team, analyzing business requirements, and developing efficient applications to meet those requirements. You will also actively participate in team discussions and contribute to providing solutions to work-related problems. This role requires a strong understanding of SAP ABAP Development for HANA and proficiency in SAP ABAP Development. 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.- Collaborate with the team to analyze business requirements.- Design and build efficient applications to meet business process and application requirements.- Configure applications to ensure smooth functioning.- Troubleshoot and debug applications to identify and resolve issues.- Provide technical support and guidance to end-users.- Stay updated with the latest industry trends and technologies.- Continuously enhance skills and knowledge in SAP ABAP Development for HANA. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA, SAP ABAP Development.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in SAP ABAP Development for HANA.- This position is based at our Bengaluru office.- A 15 years full-time education is required.- Should support in the US timings (Afternoon and Night India time) Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP CO Management Accounting Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CO Product Cost Controlling, SAP CO Management Accounting- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP CO Product Cost Controlling- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google BigQuery Good to have skills : Microsoft SQL Server, Google Cloud Data ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. 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.- Assist in the optimization of data pipelines for performance and efficiency.- Collaborate with data analysts and other stakeholders to understand data needs and deliver appropriate solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Good To Have Skills: Experience with Microsoft SQL Server, Google Cloud Data Services.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data storage and processing solutions. Additional Information:- The candidate should have minimum 3 years of experience in Google BigQuery.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: Problem Definition & Hypothesis Generation: Work closely with business stakeholders, product managers, and engineers to understand key business challenges and formulate data-driven hypotheses. Data Collection & Preparation: Identify, collect, and prepare large, complex datasets from various sources. This includes data cleaning, transformation, feature engineering, and ensuring data quality and integrity. Exploratory Data Analysis (EDA): Perform in-depth statistical analysis and visualization to uncover trends, patterns, outliers, and relationships within data, generating actionable insights. Model Development & Evaluation: Design, develop, and implement machine learning models (e.g., supervised, unsupervised, reinforcement learning) for various applications such as prediction, classification, recommendation, anomaly detection, and natural language processing. Select appropriate algorithms, fine-tune model parameters, and perform rigorous model validation and evaluation (e.g., cross-validation, A/B testing). Monitor model performance post-deployment and iterate for continuous improvement. Statistical Analysis & Experimentation: Apply advanced statistical techniques to analyze experimental results, identify causal relationships, and provide recommendations based on data-driven evidence. Insight Generation & Communication: Translate complex analytical findings and model results into clear, concise, and actionable insights for non-technical audiences through presentations, reports, and dashboards. Deployment & MLOps: Collaborate with MLOps engineers and software developers to productionize models, ensure scalability, reliability, and maintainability. Research & Innovation: Stay updated with the latest advancements in data science, machine learning, and AI, and proactively identify opportunities to apply new techniques to solve business problems. Documentation: Document code, models, methodologies, and findings thoroughly for reproducibility and knowledge sharing.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Master Data Migration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and guidance to your team members while continuously seeking opportunities for improvement and innovation in application development. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Migration.- Strong understanding of data governance and data quality principles.- Experience with data mapping and transformation processes.- Familiarity with SAP data management tools and methodologies.- Ability to troubleshoot and resolve data migration issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in SAP Master Data Migration.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education