Padmi

KNIME Data Engineer / Process Analyst (Level 4)

ChennaiPosted 2 months ago
Infrastructure And DatabasesMid-levelFull Time; Regular
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Job Title: KNIME Data Engineer / Process Analyst (Level 4) Experience Required: 4 6 Years Location: Mph- Bangalore, Chennai Employment Type: Full-Time ________________________________________ Role Summary We are seeking a KNIME Data Engineer to support and enhance data workflows while ensuring reliable execution of ETL processes. This role focuses on independent execution of workflows, troubleshooting, data processing, and delivering consistent reporting outputs, with increasing ownership of data pipelines and improvements. ________________________________________ Key Responsibilities Workflow Development & Maintenance Develop, maintain, and enhance KNIME workflowsHandle: o Data transformation workflows o Process automation pipelines Ensure workflows run reliably across environments ________________________________________ Monitoring & Issue Resolution Monitor workflows in: o KNIME Server / Business Hub Troubleshoot: o Data issues o Workflow failures o Connectivity problems Perform root cause analysis for recurring issues ________________________________________ Data Integration & Processing Work with data sources: o Databases (PostgreSQL, Snowflake, Oracle o Flat files (Excel, CSV) Perform: o Data extraction and transformation o Data validation and quality checks ________________________________________ Enhancements & Optimization Implement moderate enhancements in existing workflowsOptimize: o Workflow performance o Execution time and efficiency Adapt workflows for new data requirements or schema changes ________________________________________ SQL & Scripting Write and optimize: o SQL queries (joins, aggregations) Use scripting: o Python / Java (basic to intermediate) for extensions ________________________________________ Reporting & BI Support Support integration with: o Power BI / Tableau dashboards Ensure: o Data availability for reporting o Accuracy of output datasets ________________________________________ Stakeholder Collaboration Work with: o Business users o Data analysts o Reporting teams Gather requirements and provide data solutionsSupport user queries and issue resolution ________________________________________ Documentation & Process Compliance Maintain: o Workflow documentation o Process guidelines Follow: o Data governance and operational standards ________________________________________ Required Skills & Qualifications Technical Skills Strong hands-on experience with: o KNIME Analytics Platform (mandatory Proficiency in: o SQL and data querying Experience with: o Data integration and ETL concepts Basic to intermediate scripting: o Python / Java ________________________________________ Tools & Technologies KNIME Server / Business HubDatabases (Oracle / Snowflake / PostgreSQL)BI tools (Power BI / Tableau exposure) ________________________________________ Experience 46 years of experience in: o Data engineering / ETL / workflow automation Experience handling: o Independent workflows and troubleshooting ________________________________________ Soft Skills Strong analytical and problem-solving skillsGood communication and stakeholder coordinationAbility to work independently on assigned tasksDetail-oriented and proactive mindset Job Title: KNIME Data Engineer / Process Analyst (Level 4) Experience Required: 4 6 Years Location: Mph- Bangalore, Chennai Employment Type: Full-Time ________________________________________ Role Summary We are seeking a KNIME Data Engineer to support and enhance data workflows while ensuring reliable execution of ETL processes. This role focuses on independent execution of workflows, troubleshooting, data processing, and delivering consistent reporting outputs, with increasing ownership of data pipelines and improvements. ________________________________________ Key Responsibilities Workflow Development & Maintenance Develop, maintain, and enhance KNIME workflowsHandle: o Data transformation workflows o Process automation pipelines Ensure workflows run reliably across environments ________________________________________ Monitoring & Issue Resolution Monitor workflows in: o KNIME Server / Business Hub Troubleshoot: o Data issues o Workflow failures o Connectivity problems Perform root cause analysis for recurring issues ________________________________________ Data Integration & Processing Work with data sources: o Databases (PostgreSQL, Snowflake, Oracle o Flat files (Excel, CSV) Perform: o Data extraction and transformation o Data validation and quality checks ________________________________________ Enhancements & Optimization Implement moderate enhancements in existing workflowsOptimize: o Workflow performance o Execution time and efficiency Adapt workflows for new data requirements or schema changes ________________________________________ SQL & Scripting Write and optimize: o SQL queries (joins, aggregations) Use scripting: o Python / Java (basic to intermediate) for extensions _______________________

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