Sdtm Study Data Tabulation Model Jobs in Hyderabad

Position Title: Data Modeler Location: Hyderabad Department: Data & Analytics Experience Required: 4+ Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is seeking a highly skilled and detail-oriented Data Modeler to join our Hyderabad team. In this role, you will be responsible for developing and optimizing conceptual, logical, and physical data models that support business intelligence and decision-making processes. You will work closely with business stakeholders and technical teams to turn complex data into meaningful insights. Roles and Responsibilities: Translate business requirements into well-structured data models. Design and implement conceptual, logical, and physical data models for enterprise applications. Collaborate with cross-functional teams including data engineers, analysts, and business users. Ensure data integrity and consistency across various data sources and systems. Use data modeling tools (e.g., ERwin, ER/Studio) to document metadata and relationships. Participate in data profiling, analysis, and cleansing initiatives. Provide technical leadership on data structure standards and best practices. Support data governance, cataloging, and quality assurance efforts. Work in Agile environments and contribute to sprint planning and execution. Required Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. 4+ years of experience in data modeling (relational, dimensional, or NoSQL). Hands-on experience with tools such as ERwin, ER/Studio, or equivalent. Strong SQL skills and ability to handle large datasets. Experience with RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with cloud data platforms such as AWS, GCP, or Azure. Strong analytical skills and attention to detail. Excellent communication and stakeholder management skills. Nice to Have: Experience with Snowflake, BigQuery, or Redshift. Exposure to ETL tools and data pipeline development. Knowledge of metadata and data lineage tools. Experience in domains such as retail, healthcare, or finance. Be part of a forward-thinking company at the cutting edge of data and digital transformation. Work in a collaborative environment that encourages learning and growth. Gain exposure to global projects and next-gen technologies. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field.

Job Title: Data Governance Architect Job Location: Hyderabad Job Description As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: What You Will Do: Strategy, Framework, and Governance Operating Model Develop and maintain enterprise-wide data governance strategies, standards, and policies. Align governance practices with business goals like regulatory compliance and analytics readiness. Define roles and responsibilities within the governance operating model. Drive governance maturity assessments and lead change management initiatives. Stakeholder Alignment & Organizational Enablement Collaborate across IT, legal, business, and compliance teams to align governance priorities. Define stewardship models and create enablement, training, and communication programs. Conduct onboarding sessions and workshops to promote governance awareness. Architecture Design for Data Governance Platforms Design scalable and modular data governance architecture. Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. Ensure integration with metadata, privacy, quality, and policy systems. Microsoft Purview Solution Architecture Lead end-to-end implementation and management of Microsoft Purview. Configure RBAC, collections, metadata scanning, business glossary, and classification rules. Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. Metadata, Lineage & Glossary Management Architect metadata repositories and ingestion workflows. Ensure end-to-end lineage (ADF Synapse Power BI). Define governance over business glossary and approval workflows. Data Classification, Access & Policy Management Define and enforce rules for data classification, access, retention, and sharing. Align with GDPR, HIPAA, CCPA, SOX regulations. Use Microsoft Purview and MIP for policy enforcement automation. Data Quality Governance Define KPIs, validation rules, and remediation workflows for enterprise data quality. Design scalable quality frameworks integrated into data pipelines. Compliance, Risk, and Audit Oversight Identify risks and define standards for compliance reporting and audits. Configure usage analytics, alerts, and dashboards for policy enforcement. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Requirements 15+ years in data governance and management. Expertise in Microsoft Purview, Informatica, and related platforms. Experience leading end-to-end governance initiatives. Strong understanding of metadata, lineage, policy management, and compliance regulations. Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Familiar with Agile methodologies and stakeholder communication. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

QA Engineer Experience: 4+ Years Job type: New Job function: Information Technology Location: Hyderabad Job description 4+ years of experience in Automation Testing of Web, Mobile and API Testing (at least 3 yrs relevant in selenium - java) Experience with test automation frameworks like Selenium,Appium, Cucumber, TestNG, Page Object Model, Data driven and Hybrid. Excellent understanding of the STLC process and familiar with the various testing methodologies. Excellent verbal and written communication skills Reviews application requirements/ User Stories and project documentation and asks follow-up questions as needed to gain a full understanding of end-to-end business process requirements. Ability to work with the Test Manager to create Test Plans, participate in scrum ceremonies and represent the Quality Assurance team. Design and manage end-to-end testing activities for various projects across the business lines. Prioritize end to end integration test executions by working closely with the project teams. Collaboratively work with different testing teams and ensure testing standards and client expectations are met. Good to have Skills BDD framework Knowledge TestNG/JUnit or Cucumber Experience in RestAssured, JMeter and Postman

Position: Sr. Software Engineer Experience: 2-4 Years Key Responsibilities: Participate in design discussions, coding, code walkthroughs, peer code reviews, unit testing, system testing, UAT, demos, POCs, installation, and maintenance of software modules. Contribute to the creation and maintenance of the following project deliverables: Software prototypes System architecture and software design documents User interfaces developed as per UX guidelines Code adhering to established coding standards Peer code review artifacts Test plans and test cases Installation and deployment documents Release and technical documentation Document and demonstrate solutions by developing technical documentation, flowcharts, layouts, diagrams, charts, and clear, well-commented code. Ensure project tasks are completed within defined effort and timelines. Design system specifications, standards, and programming requirements. Write test cases and perform unit testing, system testing, and negative testing. Troubleshoot issues through log analysis and database query optimization. Conduct system analysis to improve operational processes. Stay updated with emerging development tools, technologies, and programming techniques. Maintain confidentiality and ensure data security. Collect, analyze, and summarize development and service issues to improve processes. Study system flow, data usage, and work processes to develop effective software solutions. Ensure adherence to quality processes and standards. Desired Profile: B.E./B.Tech in Computer Science / IT or MCA / M.Tech (or equivalent). 2-4 years of relevant industry experience. Strong understanding of Object-Oriented Programming (OOP), Multi-Tier Software Development, Component Architecture, and Web-Based Software. Knowledge of system integration challenges and solutions. Ability to gather, analyze, and interpret data to make logical decisions. Proficiency in: Core Java, JSP, Servlets, EJB, SQL/Oracle, J2EE, and other relevant Java technologies. Demonstrated skills in: Coding: Strong technical knowledge and system analysis. Testing: Analytical thinking, critical mindset, and problem-solving abilities. Troubleshooting: Ability to apply architectural knowledge and technical expertise. Key attributes: Clear thinking and flexibility Effective time management and communication (verbal & written) Analytical thinking and problem-solving Eye for detail and strong decision-making skills Teamwork, adaptability, and openness to change Strong sense of responsibility and commitment to First Time Right delivery. Qualification : B.E./B.Tech in Computer Science / IT or MCA / M.Tech (or equivalent).

Job no: Q3G79 Strong management skills with the proven ability to drive business to the completion of mock loads, data cleansing, transformation rules creation/tracking, and the ability to execute to the plan. 4 to 8 years of experience in Data Conversion/Migration and Master Data Management experience in SAP ECC is required. Strong communication skills with an understanding of how to navigate external resources while understanding the limitation and expectations of Data Migrations The ability to understand an SAP implemented business solutions, disparate and ancillary systems, and upstream/downstream effects Expertise in Material Management including Configuration, Master and Transaction data and Procurement scenarios. Interacting with multiple teams (i.e., functional teams, development teams, client business teams, and others) to identify gaps Experience with entire Data Migration process, especially with global template model and experience to load the data independently. Experience in migrating data using staging tables and direct transfer in SAP S/4HANA legacy transfer migration cockpit (LTMC) Experience in creating user-defined migration. Migrate the various data objects into S4 Hana system across the various functional modules Responsible for Pre-Load and Post Load data validation Troubleshoot Data Migration issues ducation Qualification- Any Bachelor's or master s degree in Computer / IT Engg or related field Competencies- Must have migration skills Must have experience on S/4 HANA Master Data management experience Certificates- SAP Certified Technology Associate - OS/DB Migration for SAP NetWeaver 7.52 Skills- Must have good Data migration skills, Good experience S/4 HANA database Must have experience on SAP experience on other modules Qualification : Any Bachelor's or masters degree in Computer / IT Engg or related field

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

The Opportunity: We are re-imagining agricultural insurance with the power of Public Cloud, GIS, Remote-sensing and cutting-edge AI-based algorithms to assess, model and price insurance risks for farmers adequately. We are taking the latest advances in Mobile, Geospatial technologies and the web to empower the next generation of agricultural insurance. One of our eminent clients is looking for a Senior Program Manager specializing in strategic delivery. You will work on highly complex, cross-team, multi-year product delivery and help to ensure teams are delivering high quality products and services while being responsible for the over-arching roadmap. You will help teams work on predictability and quality while supporting engineering and operational excellence. You will define roadmap deliverables, develop program execution plans, track progress, anticipate risks, provide escalation management, make sound trade off decisions, and balance business needs versus technical constraints. The candidate will make an impact by aligning business and global technology goals while managing relationships across cross-functional teams and influencing decisions across multiple work streams and executive leadership. The primary customers for the role are engineering leaders, product managers, developers, and analytics teams of the client. The candidate will have a deep understanding of Lean-Agile program management practices (including SAFe), DevOps, and SRE principles and practices. The candidate s technical depth should include understanding the principles behind why engineering teams make architectural decisions, including cloud native platforms, streaming data platforms, and the challenges faced when providing secure solutions in regulatory spaces as well as ensuring the privacy of our customers. Roles and Responsibilities: Partner with Engineering, Product Management, and User Experience teams to define, prioritize, and implement features, infrastructure, processes, and workflow, and oversee the framework that drives product backlog management and product/feature releases Manage scope and change management practices and drive governance to ensure strong scope change control Drive and oversee coordination of cross-functional teams involved in the product development to support all aspects of the program management Manage the weekly forums of health measurement, dashboard generation, status reporting, risk monitoring, issue escalations, process audit & reporting Establish quality standards to be followed across the teams. Monitor process adherence & activate remediation protocols where needed Provide on-going visibility to all stakeholders on program status including key decisions, dependencies, risks, issues, metrics, etc. Uncover, anticipate, raise, and aggressively remove obstacles which prevent teams from delivering against expected program outcomes. Support the teams to collaboratively drive continuous improvement and create a learning organization to enable speed to market and foster innovation. Actively seek to improve the engineering delivery pipeline reducing cycle time and increasing quality and security posture. Create order out of chaos as needed, and masterfully navigate ambiguities to create direction and strategy through discovery and a product mindset. Provide thought leadership and perspective across multiple organizations to eliminate knowledge silos. Be responsible for tool assessment and recommendation in alignment with program management best practices Desired Skills and Experience: Bachelor s degree in computer science, Engineering, Information Technology, or relevant area of study, or equivalent work experience 20+ years experience in engineering, engineering program management, technical program management, product management, or related area Extensive experience using, managing, and supporting teams with Agile program management tools, such as Jira, Rally, Confluence, etc. Experience managing programs across cross functional teams, building sustainable processes and coordinating release schedules Solid experience in driving process improvements and implementation of various tools related standard processes Certification in Lean-Agile practices, such as Certified Scrum Master or SAFe. Experience managing complex programs with solutions relying on cloud-native technologies. Extensive experience managing programs supporting Platform service-oriented or SaaS based solutions. Strong verbal and written communications skills with the ability to influence the enterprise. Qualification : Bachelors degree in computer science, Engineering, Information Technology, or relevant area of study, or equivalent work experience

Preferred Skills/Experience: Experience working in the eCommerce industry is an added advantage, but not limited. Experience working in the Agile environment Product Development experience is an added Architectural experience is a huge plus Roles and Responsibilities: Minimum 7 plus years of experience on Java technologies Experience in Java and related technologies (Hibernate, Spring), UI Technologies like Angular and jQuery development experience Requires Bachelor s Degree or Foreign Equivalent in Computer Science, Computer Engineering, Computer Information Systems or a related field of study. Strong experience in Java, J2EE, Hibernate, Spring, AngularJS & Angular, jQuery, web Methods, Web Services and Web Application Server: Apache Tomcat Experience in Software Design with applied knowledge of Key design principles Experience in automating all the aspects of Engineering Experience working in an Agile framework Experience in developing complex business solutions Continuous Integration, deployment experience and Prototyping experience. Demonstrate problem-solving (analysis) and demonstrate ability to mentor others. Understanding of Data Structures and Algorithms, including time and space complexity optimization. Exposure to Data structures/algorithms development, Unix and SQL/PL SQL database development Ability to contribute to development team and help achieve key business objectives Ability to perform design and code reviews Ability to identify system changes and verify that technical system specifications meet the business requirements Ability to guide junior developers and can manage the delivery of the team. Strong written and verbal communication skills, including the ability to effectively collaborate with multi-disciplinary groups at all organizational levels Must possess Strong problem-solving skills, analytical skills, good communication, presentation skills, Good attitude, self-motivated and the ability to work independently. Employment Type Full Time Industry Information Technology, Product, and Services. About Techouts Would you want to be a part of an organization that is thriving consistently to expand its echelons and innovating Digital Transformation. At Techouts we intend to vie with the best by serving and emulating client expectations. We provide high end product engineering- services and solutions primarily in Digital Technologies, platforms like SAP Hybris, Adobe (Full Stack) and Java. Headquartered in Hyderabad, Techouts has Operations in Noida and Bangalore Why Techouts? 1. Opportunity to work with clients of indisputable repute 2. Upskilling programs that facilitate career progression 3. Consistent in updating learning and development modules as per the current trends and needs. 4. Scaling Growth opportunities since we are increasing the headcount and our portfolio. Qualification : Bachelors Degree or Foreign Equivalent in Computer Science, Computer Engineering, Computer Information Systems or a related field of study.

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

Job Summary: We are seeking an Oracle Fusion HCM Techno Functional Lead Consultant with 10+ years of experience in Human Capital Management (HCM). The candidate should have strong functional and technical expertise in Oracle Fusion, with at least 4 end-to-end implementations in Oracle Fusion HCM. The ideal candidate will have hands-on experience in various HCM modules, including Payroll, Data Integration, and Reporting. Key Responsibilities: 1. Lead Oracle Fusion HCM Projects: Oversee and lead end-to-end implementation of Oracle Fusion HCM solutions. Manage functional requirements and translate them into technical solutions. Prepare Functional Design and specifications to meet business requirements. 2. HCM Module Expertise: Strong understanding of core Oracle Fusion HCM modules (including Payroll, Master Data, and Data Upload). Implement and configure solutions for Custom Role Creation, OTBI Reports, BI Publisher, Fast Formula, and DFF/Flex Field configurations. 3. Data Integration & Extracts: Hands-on experience with Fusion HCM Extracts for data extraction and processing. Experience with Oracle Fusion Data Integration tools like HDL, FBL, and SDL for building and enhancing integrations to third-party tools. 4. Approval Management & Security: Expertise in Fusion Approval Management, Security Model, and configuring roles and access. 5. Methodology & Process: Familiarity with OUM Methodology and best practices for Oracle Fusion HCM. Conduct unit testing, user acceptance testing (UAT), and support post-go-live activities. 6. Collaboration & Team Leadership: Work closely with business teams to understand functional requirements and provide techno-functional guidance. Lead and mentor team members throughout the implementation process. 7. Reporting and Analytics: Expertise in creating and customizing OTBI Reports and BI Publisher reports to provide insights and improve decision-making. Required Qualifications: Experience: 10+ years of experience as an HCM Functional Consultant with a minimum of 4 end-to-end Oracle Fusion HCM implementations. Modules Expertise: In-depth knowledge of HCM, Payroll, Fusion Security Model, Data Upload, Master Data, and Custom Role Creation. Technical Skills: Hands-on experience with Fusion HCM Extracts and Oracle Fusion Data Integration tools (HDL, FBL, SDL). Proficient in creating OTBI Reports, BI Publisher Reports, Fast Formula, DFF/Flex Fields. Familiarity with VBCS, PCS, and Autonomous Database. Methodology: Knowledge of OUM Methodology for implementing Oracle Fusion HCM. Communication & Leadership: Ability to lead projects, communicate effectively with stakeholders, and mentor junior team members.

Job Description : As an experienced Biostatistician, you will lead research design and analytical strategies, provide input into protocols, develop and review statistical analysis plans and author/co-author reports, abstracts and manuscripts. You will use your knowledge to advise, provide guidance and to oversee the quality control of statistical deliverables. As the functional lead within a study team, you will direct the Biostatistical activities on a study and be accountable for the deliverables. Senior, Principal, and Senior Principle level Biostatisticians at Parexel are client-facing and play an integral part in the study team. Leverage your expertise. Develop complex analysis strategies and execute them using efficient programming techniques (software: SAS, R). Foster teamwork. Perform intricate statistical analyses and provide input to statistical reports. Share knowledge. Provide input to analysis plans, statistical reports, statistical sections of integrated clinical reports. Impact the process. Be a proactive advisor for all types of analysis from the proposal process through the project life cycle. Take quality seriously. Review analysis data sets and quality control all types of statistical analysis deliverables. Coach and mentor. Train and uplift junior members of the department. Job Qualifications: Experience: A minimum of 5 years industry (or directly relevant) experience ,A thorough understanding of the statistical aspects of either clinical trials and/or observational studies. Experience in statistical analysis in a clinically related subject, either within clinical trials or in Epidemiology. SAS programming or R programming skills (desired) Education: A Masters or Ph.D. level education in biostatistics, statistics, mathematics, or another relevant discipline. Skills: Confidence be self-reliant and a quick learner who enjoys working in a matrixed team. Good leadership skills. Strong oral and written English communication skills. The ability to travel as required, although this is not frequent. A strong work ethic to promote the development of life changing treatments for patients Qualification : A Masters or Ph.D. level education in biostatistics, statistics, mathematics, or another relevant discipline.

The Senior Analyst responsibility is to work with the Oracle EBS Finance 12.2.4 systems functions and other systems of the company related to finance and to ensure it aligns with the business objectives of the organization. This individual s principal goals are to develop and manage application solutions for finance related systems within the organization. The Senior Analyst will plan, coordinate, and design to ensure project goals and objectives are accomplished within prearranged time frames and budgets. The Senior developer of IT will work closely with decision makers in other departments to identify, recommend, develop, implement, and support cost -effective technology solutions for all aspects of the organization. The successful candidate will have strong Oracle EBS Finance & Apex Skills. Key Accountabilities: Analyze, design and/or develop best practice business needs through technology solutions. Interact with Accounting, Finance and Procurement teams to understand their requirements and design solutions. Define new and refine existing business processes. Convert process improvements recommendations to actionable systems requirements. Participate in requirement gathering, aligning business requirements and best practices to implement a technical solution. Create systems documentations including unit test, solution designs. Support Quality Assurance efforts (test planning and execution) for periodic releases and new systems implementations. Contribute to continuous improvement and development of internal processes. Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends, and practices. Required Skills: Ability to co-ordinate across groups including motivating, developing, and coordinating team members. Client focused approach to work. Excellent interpersonal, verbal, and written communication skills. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload for oneself and the team. Willingness to work in a matrix environment and to value the importance of teamwork. Knowledge and Experience: Design, develop, test and implement features and code on Oracle EBS R12 using Apex Help End Users Understand application features to accomplish their business purposes. Partner with Database and Middleware Administrators to achieve great application performance. Demonstrate advanced skills while coaching and mentoring less senior team members. Document code and projects so others can easily understand. Fulfill customer requirements as measured in customer survey scores. Show insight, know your application design & data, offer simple, working solutions. Apply team coding, documenting, and testing standards and recommend process improvements. Recognize upstream and downstream impacts; communicate effectively (verbally & in writing). Learn the Business Process Your Application Supports so your code will better support the business. Improve your application and team processes. Decrease incidents and increase uptime of your application. All other duties as assigned. Attendance as required by department. Remain compliant with our policies, processes, and legal guidelines. Code expertly in your application while following team coding and testing standards. Job Requirements: Bachelor s degree or equivalent in Computer Science, Information Systems, or closely related field of study. Good to have experience working with (Procurement, Fixed Assets, AP, General Ledger) or Oracle Projects Billing, costing and Revenue cycle. Minimum of 5 -9 years experience on Apex. Strong knowledge on SQL/PLSQL. Minimum of 5 -9 years of experience in Oracle Database and Oracle APEX along with hands-on experience on JQuery, Ajax, JSON, CSS, HTML. Etc. Should have worked on Oracle APEX 18.1 and above. Proven track record working with Oracle APEX Page customization using JavaScript and JQuery. Good to have Oracle APEX upgrade experience. Good to have knowledge on APEX Templates and Universal Themes. Good to have Oracle EBS and Oracle APEX integration experience. Good to have experience on XML Publisher Reports. Good to have experience on Oracle EBS R12 Workflow, AME, Stack comfort. Must possess excellent financial and analytical skills. Preferred Experience: Financial Services. Experience w/ APEX tools or Oracle Application Express. Good to have experience on Workflow and AME. Experience working with PL/SQL. Language Skills: Ability to effectively communicate in the English language verbally and in writing. Ability to read and interpret technical journals, specifications, international technical standards, etc. Qualification : Bachelors degree or equivalent in Computer Science, Information Systems, or closely related field of study.

Key Accountabilities: Project Management: Ability to fill Statistical Programming Lead role on projects Input into and negotiate statistical programming timelines. Ensure that timelines are adhered to. Coordinate and lead a statistical programming team to successful completion of a study within given timelines and budget. Monitor project resourcing, project budgets, and identify changes in scope. Coordinate project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Review statistical analysis plans and mock-shells. Review database set-up specifications. Interact with sponsors and internal stakeholders with regard to statistical programming issues. Assist project teams in the resolution of problems encountered in the conduct of their daily work. Statistical Programming for Assigned Projects: Deliver best value and high quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce/QC derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings. Produce/QC dataset specifications and other process supporting documents and submission documentation. Ensure quality control (QC) is performed on all process and technical activities related to derived dataset, table, data listing, and figure programming in accordance with corporate quality standards, SOPs/Guidelines, ICH-GCP, and/or other international regulatory requirements. Training: Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of SAS and processes/procedures within other PAREXEL functional areas. Provide relevant training and mentorship to staff and project teams. General: Maintain all supporting documentation for studies in accordance with SOPs/Guidelines to ensure traceability and regulatory compliance. Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations, and participate in internal/external audits and regulatory inspections as required. Proactively participate in and/or lead process/quality improvement initiatives. Provide consultancy to internal and external sponsors with regard to statistical programming tasks. Represent PAREXEL at sponsor marketing and technical meetings. Understand regulatory requirements concerning industry technical standards(e.g. CDISC, 21 CFR Part 11, and electronic submissions). Skills: Excellent analytical skills. Proficiency in SAS. Extensive knowledge and understanding of the programming and reporting process. Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Ability to learn new systems and function in an evolving technical environment. Strong project management skills. Strong organizational skills, ability to manage competing priorities, and flexibility to change. Attention to detail. Ability to successfully lead a global team. Work effectively in a quality-focused environment. Effective time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Business/operational skills that include customer focus, commitment to quality management, and problem solving. Demonstrate commitment to refine quality processes. Good presentation skills. Good business awareness/business development skills (including financial awareness). Knowledge and Experience: Competent in written and oral English. Excellent communication skills. Education: Educated to degree level in a relevant discipline and/or equivalent work experience. Qualification : Educated to degree level in a relevant discipline and/or equivalent work experience.

Key Accountabilities: Project Management: Assist in the coordination of project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Statistical Programming for Assigned Projects: Deliver best value and high quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings of any complexity and QC low-medium complexity derived datasets, tables, figures, and data listings. Assist in the production/QC of derived dataset specifications and other process supporting documents and submission documentation. Training: Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of SAS and processes/procedures within other PAREXEL functional areas. Provide relevant training and mentorship to staff and project teams as appropriate. General: Maintain all supporting documentation for studies in accordance with SOPs/Guidelines to ensure traceability and regulatory compliance. Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations, and participate in internal/external audits and regulatory inspections as required. Proactively participate in process/quality improvement initiatives. Understand regulatory requirements concerning industry technical standards (e.g. CDISC, 21 CFR Part 11, and electronic submissions). Skills: Excellent analytical skills. Proficiency in SAS. Knowledge and understanding of the programming and reporting process. Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Ability to learn new systems and function in an evolving technical environment. Ability to manage competing priorities and flexibility to change. Attention to detail. Ability to successfully work as part of a global team. Work effectively in a quality-focused environment. Effective time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Business/operational skills that include customer focus, commitment to quality management, and problem solving. Knowledge and Experience: Competent in written and oral English. Good communication skills. Education: Educated to degree level in a relevant discipline and/or equivalent work experience. Qualification : Educated to degree level in a relevant discipline and/or equivalent work experience.

Role:Principal Statistical Modeler - Big Data Location: Hyderabad About the job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a Clinical Moder - Big Data Machine Learning within our Clinical Modeling and Evidence Integration team / Hyderabad, you will develop and implement data cohort creation, data insights and predictive or machine learning models with Big Data (such as large observational study results, electronic health records, Real World Evidence studies) to generate clinical development relevant insights and decision supports. Main responsibilities: Create the cohorts of interest from the big data sources (i.e. electronic health records). Provides data visualization and summaries reports. Develop or implement clinical machine learning models to bridge RWE and clinical inference. Collaborate with cross-functional teams to address scientific questions with integrated RWE and clinical insights. Assist and may work under the direction of clinical modelers. About you Experience: 3 Years of experience in Machine Learning if no PhD Machine learning skills. Experience/Knowledge in Causal inference methods is a plus. Excellent Python and/or R programming skills are required. Experience in tidymodels framework is a plus. Experience using version control systems (eg, Git, GitHub). Soft and technical skills: Good interpersonal and communication skills Good understanding of statistical concepts. Some knowledge about clinical development is a plus. Education: PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines Languages: R, Python, Julia. SAS is a plus Qualification : PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines

Job title: Data Scientist Location : IN / Hyderabad About the job An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials. The D ata Scientist (DS) is responsible for setting up and refreshing the RBM application for assigned studies, ensuring a seamless data flow, and configuring the system to meet RBM specifications and industry standards. You will work closely with Central Monitors and study Lead DS together to delivery RBM activities. If you are passionate about leveraging data to drive excellence in clinical trials, this is the opportunity for you. Main responsibilities: Data Extraction and Processing:Extract data from various systems and ensure it is preprocessed correctly, supporting the accuracy and reliability of our monitoring processes.. Dashboard Management:You will be in charge of setting up and updating KRI, DQA, QTL, and SPOT dashboards with precision and within the set timelines, adhering to established processes and standards. Script Execution and Updates:Execute SAS or Python scripts, updating parameters as required to meet the specific needs of each study. Collaborative Problem Solving:Provide a clear explanation of results and signals, working closely with Central Monitors and Lead Data Scientists to deliver effective RBM activities. About you Experience: Experience in a Clinical Research environment (CRO or Pharma). Experience in clinical data programming (SAS, Python, R, ) Soft and technical skills: Learns and adapts quickly when facing new problems. Think critically and use rigorous, objective, and pragmatic methods to solve multidimensional problems with effective and timely solutions. Good at SAS programming skills, it s better be able to develop from scratch. Execute Python script with updating parameters based on studies. Understand clinical trial-related documents with basic clinical knowledge, e.g., Protocol, SDS, CRF. Good interpersonal, communication, and negotiation skills (verbal and written). Able to acquire and apply new technical skills. Education: Bachelor s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences) Languages: Strong English skills (verbal and written), ability to exchange fluently in a global environment. Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks gender-neutral parental leave. An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team A team that drives the innovation of the monitoring activities that align with future need W e believe that a Data Scientist is not just a job title; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. You are the architects of our data-driven future, equipped with the latest technologies and a supportive environment that fosters growth and collaboration. Qualification : Bachelors degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences)

Position Title: Power BI Developer Location: Hyderabad Department: Data & Analytics Experience Required: 3 7 Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is looking for experienced and motivated Power BI Developers to join our growing Data Platform team in Hyderabad. This role is ideal for professionals who thrive in a fast-paced environment and are passionate about delivering actionable insights through data visualization and business intelligence tools. Roles and Responsibilities: Design, develop, and maintain interactive Power BI reports, dashboards, and KPI scorecards. Gather and integrate data from various sources such as SQL Server, Oracle, APIs, and cloud-based systems. Implement row-level security, user access control, and data governance protocols in Power BI. Translate complex business requirements into technical solutions and visual stories. Perform data modeling, transformations, and calculations using DAX and Power Query (M). Optimize report performance and data refresh schedules. Collaborate with business stakeholders to capture requirements and deliver insights in a timely fashion. Publish and schedule reports and dashboards for automated distribution. Work with Azure services like Data Lake, Data Factory, and Power Apps (preferred but not mandatory). Skills and Experience: Proven experience (3+ years) with Power BI Desktop and Power BI Service. Strong expertise in DAX (Data Analysis Expressions) and M (Power Query). Solid foundation in Data Warehousing, ETL, and Business Intelligence concepts. Familiarity with SQL, Oracle, and other relational databases. Working knowledge of Azure (Data Factory, Data Lake, Power Apps) is a plus. Ability to interpret business requirements and translate them into technical specifications. Good understanding of Power BI workspace management, dataset refresh, and deployment pipelines. Experience in handling large and complex datasets for enterprise-level reporting. Nice to Have: Knowledge of other BI tools like Tableau or Qlik. Experience with Agile/Scrum methodologies. Exposure to CI/CD for BI deployments. Join a rapidly growing organization at the forefront of digital transformation. Work with top-tier clients across industries. Collaborate with a global team of experts in data and analytics. Accelerate your career growth with continuous learning and mentorship.