Job title: CPQ Consultant/Sr. Consultant/Lead Consultant Location: Hyderabad/Bangalore/Pune Experience: 3-8+ years Basic Job Requirements: Candidate should have minimum 3+ years of experience in Oracle CPQ. CPQ Certification (Preferable) Experience in HTML/XHTML, XML, XSL, Java, JavaScript, JSON, AJAX, and SOAP-based web services is preferred. Experience/knowledge of Configuration, Commerce, Document Designer and Big Machines Language (BML). Experience in BOM Mapping, System Configuration and ABO is preferred. Commerce / Utilities Libraries, Validation/Hiding/Constraint rules. BML Basics, Layout Editor Commerce layout, Custom CSS, Commerce Rules Commerce, Configuration Integration, Recommendation Items, Recommendation Rules. Constraint / Hiding rules, Layout Changes, CSS / JS changes. Job Responsibilities: Responsible for understanding functional and technical design, implementation and support of CPQ solutions. Implement CPQ solutions with best coding standards accounting for performance optimization. Expertise in troubleshooting/debugging issues and identifying/documenting the Root Cause Analysis (RCA). Conduct code reviews with Technical Leads to ensure developed code meets customers' business requirements. Capable of working independently and delivering highest quality output.

Job Summary We are seeking a highly experienced QA professional with over 10 years of experience to join our Quality Assurance team for the data migration project. The ideal candidate will have a strong background in ETL testing, data validation, and migration projects, with expertise in creating test cases and test plans, as well as hands-on experience with data migration to cloud platforms like Snowflake. The role requires leadership capabilities to manage testing efforts, including coordinating with both on-shore and off-shore teams, ensuring seamless collaboration and delivery. Proficiency in ETL tools like Talend (preferred), Informatica PowerCenter, or DataStage is essential, along with a solid understanding of SQL and semi-structured data formats such as JSON and XML. Key Responsibilities Develop and implement comprehensive test strategies and plans for data migration projects, ensuring full coverage of functional and non-functional requirements. Create detailed test cases, test plans, and test scripts for validating data migration processes and transformations. Conduct thorough data validation and verification testing, leveraging advanced SQL skills to write and execute complex queries for data accuracy, completeness, and consistency. Utilize ETL tools such as Talend, Informatica PowerCenter, or DataStage to design and execute data integration tests, ensuring successful data transformation and loading into target systems like Snowflake. Validate semi-structured data formats (JSON, XML), ensuring proper parsing, mapping, and integration within data migration workflows. Lead testing efforts for data migration to cloud platforms, ensuring seamless data transfer and integrity. Act as the QA Lead to manage and coordinate testing activities with on-shore and off-shore teams, ensuring alignment, timely communication, and delivery of quality outcomes. Document and communicate test results, defects, and issues clearly to the development and project teams, ensuring timely resolutions. Collaborate with cross-functional teams to create and maintain automated testing frameworks for ETL processes, improving testing efficiency and coverage. Monitor adherence to QA best practices and standards while driving process improvements. Stay updated on the latest QA tools, technologies, and methodologies to enhance project outcomes. Qualifications 10+ years of experience in Quality Assurance, focusing on ETL testing, data validation, and data migration projects. Proven experience creating detailed test cases, test plans, and test scripts. Hands-on experience with ETL tools like Talend (preferred), Informatica PowerCenter, or DataStage. Proficiency in SQL for complex query writing and optimization for data validation and testing. Experience with cloud data migration projects, specifically working with databases like Snowflake. Strong understanding of semi-structured data formats like JSON and XML, with hands-on testing experience. Proven ability to lead QA efforts, manage teams, and coordinate with on-shore and off-shore teams effectively. Strong analytical and troubleshooting skills for resolving data quality and testing challenges. Preferred Skills Experience with automated testing tools and frameworks, particularly for ETL processes. Knowledge of data governance and data quality best practices. Familiarity with AWS or other cloud-based ecosystems. ISTQB or equivalent certification in software testing (ref:hirist.tech)

Experience : 6+ years Location : Description : We are seeking a Data Engineer with expertise in Talend pipeline development for Snowflake Type 2 modeling and proficiency in IBM Data Replicator and Qlik Replicate. The role involves analysing current on-premises data sources across containerized DB2, DB2, Oracle, and Hadoop, and designing scalable data pipelines aligned with the companys data management framework. The candidate will handle data replication processes, including Change Data Capture (CDC), for both historical and incremental updates. Key Responsibilities Design and build Talend pipelines to implement Type 2 Slowly Changing Dimensions (SCD) models in Snowflake. Analyze and assess existing on-premises data sources (DB2, Oracle, Hadoop) for migration and integration. Develop and optimize data replication strategies using IBM Data Replicator and Qlik Replicate. Implement one-time data migration processes for history and archives and configure pipelines for CDC-based updates. Collaborate with data architects and business teams to define and enforce data modeling standards in Snowflake. Perform data profiling, validation, and reconciliation to ensure data integrity and consistency during migrations. Monitor and troubleshoot data pipelines, ensuring scalability, reliability, and performance. Document pipeline designs, workflows, and data mappings for compliance and audit : Proficiency in Talend ETL development and integration with Snowflake. Hands-on experience with IBM Data Replicator and Qlik Replicate. Strong knowledge of Snowflake database architecture and Type 2 SCD modeling. Expertise in containerized DB2, DB2, Oracle, and Hadoop data sources. Understanding of Change Data Capture (CDC) processes and real-time data replication patterns. Experience with SQL, Python, or Shell scripting for data transformations and automation. Familiarity with cloud platforms (AWS, Azure) and DevOps practices for pipeline automation. Preferred Skills Experience in data governance frameworks and metadata management. Working knowledge of version control tools (e.g., Git) and CI/CD pipelines. Exposure to Kafka or other streaming platforms for data ingestion. Strong troubleshooting and performance optimization capabilities (ref:hirist.tech)