7 Treasure Data Jobs

About the Role Develop and execute a comprehensive strategy for 3rd party data platform adoption and expansion across the organization, with a focus on driving business outcomes and improving marketing effectiveness. Collaborate with marketing teams to integrate 3rd party data into their campaigns and workflows and provide training and support to ensure effective use of the data. Develop and showcase compelling use cases that demonstrate the value of 3rd party data in improving marketing effectiveness and measure the success of these use cases through metrics such as adoption rate, data quality, and marketing ROI. Develop and maintain a roadmap for 3rd party data platform adoption and expansion across the organization, with a focus on expanding use cases and applications for 3rd party data and developing new data-driven products and services. Monitor and measure the effectiveness of 3rd party data in driving business outcomes, and adjust the adoption strategy accordingly Work with cross-functional teams to ensure data quality and governance, and develop and maintain relationships with 3rd party data vendors to ensure seamless data integration and delivery. Drive the development of new data-driven products and services that leverage 3rd party data, and collaborate with stakeholders to prioritize and develop these products and services. Shift Timings: 2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory). About You 12+ years of experience in data management, product management, or a related field. Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or a related field. Experience with data management tools such as data warehousing, ETL (Extract, Transform, Load), data governance, and data quality. Understanding of the Marketing domain and data platforms such as Treasure Data, Salesforce, Eloqua, 6Sense, Alteryx, Tableau and Snowflake within a MarTech stack. Experience with machine learning and AI frameworks (eg, TensorFlow, PyTorch). Expertise in SQL and Alteryx. Experience with data integration tools and technologies such as APIs, data pipelines, and data virtualization. Experience with data quality and validation tools and techniques such as data profiling, data cleansing, and data validation. Strong understanding of data modeling concepts, data architecture, and data governance. Excellent communication and collaboration skills. Ability to drive adoption and expansion of D&B data across the organization. Certifications in data management, data governance, or data science is nice to have. Experience with cloud-based data platforms (eg, AWS, GCP, Azure) nice to have. Knowledge of machine learning and AI concepts, including supervised and unsupervised learning, neural networks, and deep learning nice to have.

Role Senior Python Developer (Data Science, AI/ML) HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus

Role Senior Python Developer (Data Science, AI/ML) HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus

Role & responsibilities Looking for Strong Treasure Data CDP Engineer. Experience: 6+ years Location: PAN India Mode: Work from Office Notice period: 0-15 Days Preferred candidate profile

Job Title: Offshore CDP Analyst (Remote) Location: Remote (Offshore) Experience: 2 - 4 Years Reports To: Onshore Manager Job Summary We are hiring an experienced Customer Data Platform (CDP) Analyst to manage data ingestion, integration, identity resolution, segmentation, and activation for marketing, sales, and analytics. This is a remote offshore role supporting global business operations. Roles & Responsibilities Ingest and validate data from CRM, marketing, analytics, and offline systems Perform data quality checks and maintain governance compliance Configure identity resolution to unify customer profiles Build and manage audience segments for downstream platforms Develop and maintain data workflows (Digdag, YAML) Troubleshoot API integrations and data pipelines Run SQL queries for validation and reporting Document processes and collaborate with onshore teams to meet SLAs Key Skills (SEO Keywords) CDP tools: Treasure Data, Adobe Experience Platform, Tealium, Salesforce Data Cloud Strong SQL skills (Presto, BigQuery, Snowflake, Redshift) API management and scripting (Python, JavaScript) Data governance & privacy compliance Familiarity with Salesforce, ESP, Adobe Campaign, Google Analytics Preferred: Adobe Experience Platform / Tealium Audience Stream / Salesforce Data Cloud experience ETL tools & marketing activation APIs Campaign orchestration & personalization workflows Apply Now: Send your updated resume to haritha@gsksolutions.com or apply directly on Naukri! Contact: Haritha | Human Resource Specialist Direct: 7528877773

Were Hiring Offshore CDP Analyst (Remote) Location: Offshore (Remote) Reports to: Onshore Manager Employment Type: TBD About the Role: Join our dynamic team as an Offshore Customer Data Platform (CDP) Analyst and help drive the smooth ingestion, unification, segmentation, and activation of customer data across multiple platforms powering marketing, sales, and operational excellence. Key Responsibilities: Monitor & validate data ingestion from CRM, marketing platforms, analytics, and offline systems Perform data quality checks & maintain governance standards Configure identity resolution to create golden customer records Build & maintain reusable audience segments for activation in downstream platforms Manage & troubleshoot API connections with integrated systems Develop and maintain data workflows using Digdag, YAML, or similar tools Run SQL queries for data validation, anomaly investigation, and reporting Maintain documentation, data dictionaries, and process maps Collaborate closely with onshore teams to meet SLAs Drive continuous improvement & automation initiatives Qualifications: 2–4 years hands-on experience with CDPs (Treasure Data, Adobe Experience Platform, Tealium, Salesforce Data Cloud, etc.) Strong knowledge of CDP concepts: ingestion, integrations, identity resolution, segmentation, activation Proficiency in SQL (Presto, BigQuery, Snowflake, Redshift, etc.) Experience with API management, data workflows, and scripting languages (Python, JavaScript) Understanding of data governance & privacy regulations Familiarity with marketing & sales systems (Salesforce, ESP, Adobe Campaign, Google Analytics) Preferred Skills: • Adobe Experience Platform, Tealium Audience Stream, Salesforce Data Cloud experience • ETL/data pipeline tools & marketing activation APIs • Campaign orchestration & personalization workflows Apply Now: Email: swaroop@gsksolutions.com Contact: +91 8247329600

CDP Engineer - Treasure Data Location Hyderabad, Bangalore, Chennai, Gurugram Mode - Hybrid Experience - 3+ Years Experience in Database, Workflow Creation, Data Ingestion in Batch and Real Time, Segmentation, Activation, Data Modelling, SQL Knowledge Technical Skills you bring in: Deep Treasure Data CDP expertise Familiar with marketing campaigns powered by the data held in Treasure Data CDP Knowledge of Treasure Data CDP can be aided with training. Good communication skills (used to working in global teams UK and US multiple time zones) Familiar with the integration of CDPs and Marketing Automation Tools Familiarity with SQL, JavaScript, JSON, Python Professional Attributes You Possess: Excellent communication skills Strong analytical and problem-solving skills Excellent organizational skills and attention to detail Ability to function well in a high-paced environment Should be a team player and self-starter Should be a quick learner Learn More Credera is a management consulting, user experience, and technology solutions firm with offices in Dallas, Denver, Houston, Chicago, Los Angeles, San Francisco, Seattle, Atlanta, New York and Hyderabad-India. We work with clients ranging from Fortune 500 companies to emerging industry leaders, and provide expert, objective advice to help solve complex business and technology challenges. Our deep capabilities in strategy, organization, process, analytics, technology and user experience help our clients improve their performance. Clients depend on our ability to anticipate, recognize, and address their specific needs. Crederas consultants work with some of the worlds best known brands in a variety of industries, including one of the top five fast food chains, leading energy organizations, retailers, airlines. More information is available at www.credera.com. We are part of the OPMG Group of Companies, a division of Omnicom Group Inc.