Technology Architect | Data On Cloud - Platform | AWS

Analyze and rationalize existing Alteryx workflows and ETL processes.Migrate Alteryx workflows to scalable solutions using PySpark and Apache NiFi.Design, develop, and optimize data pipelines for largescale data processing.Build and maintain batch and near realtime data integration solutions.Develop complex SQL queries and optimize database performance.Ensure data quality, governance, and security standards are maintained.Collaborate with business users, architects, and data engineering teams to Top 3 responsibilities you would expect the Subcon to shoulder and execute Build and maintain batch and near realtime data integration solutions. Develop complex SQL queries and optimize database performance. Ensure data quality, governance, and security standards are maintaine Collaborate with business users, architects, and data engineering teams to understand requirements and implement solutions. Troubleshoot production issues and perform root cause analysis. Create technical documentation, workflow mappings, and migration strategies. Minimum years of experience >10 years Certifications Needed :No Project Code: Network Technology Services

Must Have Skills Apache Nifi , Pyspark Analyze and rationalize existing Alteryx workflows and ETL processes. Migrate Alteryx workflows to scalable solutions using PySpark and Apache NiFi. Design, develop, and optimize data pipelines for largescale data processing. Build and maintain batch and near realtime data integration solutions Develop complex SQL queries and optimize database performance. Ensure data quality, governance, and security standards are maintained.5+ years of experience in Data Engineering and ETL Development. Strong Nice to have skills 5+ years of experience in Data Engineering and ETL Development. Strong handson experience with Alteryx Designer and workflow analysis. Experience with data transformation, cleansing, and data quality frameworks. Knowledge of ETL/ELT concepts and Data Warehousing.