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HR Products:- Interview as a Service, Recruitment Process Outsourcing (RPO), Developer Hub (Freelance IT Talent Hub) are some of the products which ResourceTree is building to Scale and develop the Recruitment ecosystem. (https://www.resourcetree.co.in/product )

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MDM Data EngineerLocation: Chennai(Hybrid)Years of Experience: 4-7yrsNo of Opening: 4Job Description: As a Senior MDM Data Engineer with hands-on experience in Informatica Cloud MDM, you will be responsible for leading and executing end-to-end master data management (MDM) initiatives within our organization. Leveraging your deep technical expertise and practical experience, you will drive the design, implementation, and optimization of MDM solutions, ensuring the integrity, consistency, and accessibility of critical master data assets.Primary Skills: Informatica Cloud MDM,Informatica MDMSecondary Skills: Profisee Role Description:As an MDM Data Engineer, you will play a pivotal role in designing, implementing, and maintaining master data management (MDM) solutions to ensure the integrity, accuracy, and consistency of critical business data across the organization. Leveraging your expertise in data engineering, you will collaborate with crossfunctional teams to understand business requirements, define data models, develop data integration pipelines, and implement data quality controls. You will work closely with data architects, data stewards, and business stakeholders to address data governance challenges, streamline data processes, and drive business value through effective master data management practices. Role Responsibility:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Role1.&nbsp;&nbsp;Collaborate with business stakeholders to understand MDM requirements and objectives, including data domains, data governance policies, and data quality standards.2.&nbsp;&nbsp;Design and implement master data models, hierarchies, taxonomies, and relationships to support business processes and data integration needs.3.&nbsp;&nbsp;Develop data integration pipelines and ETL workflows to extract, transform, and load master data from source systems into MDM repositories.4.&nbsp;&nbsp;Implement data quality checks, validations, and cleansing routines to ensure the accuracy, completeness, and consistency of master data.5.&nbsp;&nbsp;Configure and customize MDM platforms to meet business needs, including data validation rules, workflow automation, and user access controls.6.&nbsp;&nbsp;Perform data profiling, deduplication, and enrichment activities to enhance the quality and usability of master data assets.7.&nbsp;&nbsp;Collaborate with data architects and solution architects to integrate MDM solutions with existing data management systems and Requirement:1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Solid understanding of MDM concepts, methodologies, and best practices, with handson experience in designing and implementing MDM solutions.2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency in data modeling, data governance, data quality management, and data stewardship principles and techniques.3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with MDM platforms and tools(e.g., Informatica MDM, Profisee, IBM InfoSphere MDM), including configuration, customization, and administration.4.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong SQL skills and experience working with relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).5.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with data integration tools and ETL technologies (e.g., Informatica PowerCenter, Talend, SSIS).6.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with scripting languages (e.g., Python, PowerShell) for data manipulation, automation, and orchestration.7.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of cloud computing platforms and services (e.g., AWS, Azure, GCP).8.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Agile or Scrum methodologies.9.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent analytical, problem-solving, and applications.8.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Monitor MDM performance, identify and resolve data quality issues, and optimize data processes for efficiency and scalability.9.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Document MDM processes, data mappings, data lineage, and data governance policies for knowledge sharing and compliance purposes.10.&nbsp;&nbsp;Provide technical support and guidance to business users, data stewards, and IT teams on MDM best practices, tools, and technologies.Additional Requirement:troubleshooting skills, with a keen attention to detail.10.&nbsp;&nbsp;Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.11.&nbsp;&nbsp;Ability to work independently, prioritize tasks, and manage multiple projects simultaneously. 1.&nbsp;&nbsp;Lead the design, development, and deployment of MDM solutions using Informatica Cloud MDM platforms and Profisee.2.&nbsp;&nbsp;Analyze and assess existing master data schemas, data governance policies, and data quality rules to identify areas for improvement and optimization.3.&nbsp;&nbsp;Lead data migration and data synchronization efforts between different MDM systems and data sources, ensuring seamless transitions and minimal disruption to business operations.4.&nbsp;&nbsp;Provide technical leadership, guidance, and mentorship to junior data engineers and MDM developers, fostering a culture of collaboration, innovation, and continuous improvement.5.&nbsp;&nbsp;Experience with data quality management tools.6.&nbsp;&nbsp;Knowledge of data governance principles and practices.7.&nbsp;&nbsp;Familiarity with data privacy regulations (e.g., GDPR, CCPA) and compliance requirements.

PL/SQL DeveloperYears of Experience: 7-9yrsLocation: ChennaiNo of Opening: 1 Job Description: We are seeking a highly skilled and experienced Senior PL/SQLDeveloper to join our dynamic team. The ideal candidate will have a deep understanding of PL/SQL programming concepts and advanced proficiency in database management systems. As a Senior PL/SQL Developer, you will be responsible for designing, developing, and optimizing complex database solutions to meet the organization's business needs. You will work closely with cross-functional teams to implement best practices, optimize performance, and ensure data integrity and security.Primary Skills: SQL / PL SQL,SQL/TSQL Secondary Skills: Database Administration Role Description:Database Engineer will be responsible for designing, implementing, maintaining and optimizing database solutions that meet performance, scalability, and reliability requirements within the data engineering project.Role Responsibility:1.&nbsp;Executes design sessions to gather requirements, review, approve, and communicate design artifacts with stakeholders.2.&nbsp;Architecting and managing various data model associated with Relational DBs (MS SQL Server, Oracle, etc.) and optionally NoSQL DBs (Azure Cosmos, MongoDB, Cassandra, etc.).3.&nbsp;Design, implementation and maintenance of database solutions, management of data access, and resolving database performance, capacity, and security issues.4.&nbsp;Perform problem-solving of application issues and production errors, including high level critical production issues that require immediate attention.5.&nbsp;Design and code a high volume of SQL queries, stored procedures, and maintenance of packages.Role Requirement:1.&nbsp;Proficient in basic and advanced SQL programming concepts (Procedures, Analytical functions etc.).2.&nbsp;Knowledgeable in Shell / PowerShell scripting.3.&nbsp;Knowledgeable in relational databases, nonrelational databases, data streams, and file stores.4.&nbsp;Knowledgeable in performance tuning and optimization.5.&nbsp;Experience in Data Profiling and Data validation.6.&nbsp;Experience in requirements gathering &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and documentation	processes and performing unit testing. 7. Understanding and Implementing QA and various testing process in the project.8.&nbsp;&nbsp;&nbsp;&nbsp;Sound aptitude, outstanding logical reasoning, and analytical skills.9.&nbsp;&nbsp;&nbsp;&nbsp;Willingness to learn and take initiatives.10.&nbsp;Ability to adapt to fastpaced Agile environment.&nbsp;Additional Requirement:1.&nbsp;Design, develop, and maintain PL/SQL stored procedures, functions, triggers, and packages to support various business applications and processes.2.&nbsp;Implement advanced PL/SQL programming techniques such as dynamic SQL, bulk processing, and exception handling to enhance application performance and reliability.3.&nbsp;Proficiency in Oracle Database technologies, including PL/SQL, SQL, and Oracle Database Management tools.4.&nbsp;Collaborate with business analysts, software engineers, and data architects to analyze requirements, design database solutions, and implement data models.5.&nbsp;Optimize SQL queries, indexes, and database objects to improve query performance and overall system efficiency.6.&nbsp;Implement and enforce data governance policies, data security measures, and compliance standards to ensure data integrity and confidentiality.7.&nbsp;Solid understanding of relational database concepts, data modeling, and database optimization techniques.8.&nbsp;Oracle certifications (e.g., Oracle Certified Professional) are a plus.&nbsp;

Role- Data Analyst (Consultant/Manager)Location- Noida/Bangalore/Hyderabad/ChennaiMode- HybridExperience- 4 to 9 yearsRequirements:  4-10 years of experience in a similar analytics role, with a proven track record of delivering impactful insights.  Proficiency in SQL, Python, PySpark for data querying, manipulation, and analysis.  Expertise in data visualization tools, particularly Tableau/Power BI, to create interactive and insightful dashboards.  Proficiency in Python for data analysis, scripting, and automation.  2+ years of experience in Banking &amp; Payments  Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholdersJob DescriptionResponsibilities:  Utilize advanced analytics techniques to extract meaningful insights from large datasets.  Develop and maintain robust data pipelines for efficient data extraction, transformation, and loading (ETL) processes  Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions  Design and implement data visualizations using Tableau to effectively communicate insights to stakeholders  Perform data analysis to identify trends, patterns, and opportunities for process optimization and business improvement  Develop predictive models and machine learning algorithms to solve complex business problems. Conduct ad-hoc analyses to support various business initiatives and decision-making processes.  Stay updated on industry trends and best practices in analytics and big data technologies

Role : Data Bricks Lead Requirements : - 5+ years of data warehousing/engineering, software solutions design and development experience. - Code, test, and document new or modified data systems to create robust and scalable applications for data analytics. - Work with other Bigdata developers to make sure that all data solutions are consistent. - Partner with business community to understand requirements, determine training needs and deliver user training sessions. - Perform technology and product research to better define requirements, resolve important issues and improve the overall capability of the analytics technology stack. - Evaluate and provides feedback on future technologies and new releases/upgrades. - Supports Big Data and batch/real-time analytical solutions leveraging transformational technologies. - Works on multiple projects as a technical team member or drive user requirement analysis and elaboration, design and development of software applications, testing, and builds automation tools. - Ability to Research and incubate new technologies and frameworks. - Experience with agile or other rapid application development methodologies and tools like bitbucket, Jira, confluence. - Have built solutions with public cloud providers such as AWS, Azure, or GCP - Hands-on experience in Databricks stack - Data Engineering technologies (Ex: Spark, Hadoop, Kafka etc.,) Must be proficient in Streaming technologies : - Hands-on in Python, SQL - Expertise in implementing Data warehousing solutions - Expertise in Any ETL tool i.e. (SSIS, Redwood) - Good understanding on submitting jobs using Workflows, API &amp; CLI We offer you : - A first-hand experience with C-Suite focused business advisory in the space of data &amp; analytics. - An opportunity to make deep industry connections with data science experts, client teams, and domain champions and be part of the change transforming the business environment today. - A chance to try new things &amp; take risks. - Meaningful problems you'll be proud of solving. - People you will be comfortable working with. Key metrics for you will be : - Solution quality and business value delivered to client - Successful project deliveries - Customer satisfaction on engagements

Data Science: Consumer/Customer Analytics Consultant Job Location: Bangalore/Hyderabad/Chennai/Noida Qualifications: BE/ BTech/ ME/ MTech/ MSc Statistics Years of Experience: 4 to 6 years Role and Responsibilities: Marketing &amp; Customer Analytics:  Provide processes to measure, manage, and analyze marketing activities.  Offer actionable insights and recommendations to optimize marketing ROI and performance efficiency.  Use customer behavior data for market segmentation, predictive analytics, direct marketing, site selection, and customer relationship management. Data Science and Analysis:  Apply scientific methods, processes, and systems to extract knowledge or insights from various forms of data (structured and unstructured).  Employ multivariate statistical techniques such as regression, classification, and segmentation to analyze data.Required Skills and Expertise:  Proficiency in programming languages commonly used in data science such as SQL, Python R and Visualization tools like Power BI, Tableau etc  In-depth knowledge of multivariate statistical techniques, including regression, classification, and segmentation.  Ability to analyze and interpret complex data sets.  Expertise in handling structured and unstructured data.  Skilled in SQL querying with data extraction, transformation, and loading (ETL) processes.  Understanding of marketing metrics and the ability to analyze marketing activities.  Experience in providing insights for optimizing marketing strategies and operations.  Ability to work effectively within a team, particularly in interdisciplinary settings.  Experience in managing projects and delivering results within specified timelines.  Strong analytical and problem-solving skills to address complex business and technical challenges.