Hi,

I would like to share an excellent opening Contact “AWS Data Engineer with Netezza do go through the details and kindly send me the updated resume

. Location : Remo teType of Hire : Contra ctMode of interview : WebEx / Tea msClient : Toronto, Ontario, Cana

da Please note Netezza skill must h

ave Job Sum maryWe are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data process ing.This role involves working on data platform modernization, cloud migrations, Data Warehousing and ETL in a fast-paced enterprise environm

ent. Key Responsibil itiesDesign, develop, maintain, and support scalable data pipelines using Big Data and AWS technol ogiesLead and support data platform migration initiatives (On-Prem to AWS C loud)Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or si milarImplement and manage AWS services such as EMR, S3, EC2, Redshift, Glue, and Ai rflowBuild and optimize data workflows and orchestration pipelines using Ai rflowWork with real-time streaming technologies such as Kafka and Spark Stre amingPerform data ingestion, transformation, and validation from multiple data so urcesOptimize SQL queries for performance and scalab ilityMonitor system performance, troubleshoot issues, and ensure system reliab ilityCollaborate with cross-functional teams including developers, architects, and infrastructure

teams

Required Technic al SkillsCloud Tec hnologiesStrong experience in AWS Cloud services:EMR, EC2, S3, VPC, RDS, RedshiftAWS Glue, IAM, CloudWatch, Cloud FormationAirflow (or AWS Managed W orkflows) DatabasesExperience work ing with:SQL-based systems: SQL Server and P ostgreSQLData warehouses: Teradata, Redshift , Netezza ETL ToolsHands-on experie nce with:SSISProgramming & ScriptingStrong profic ien cy in:SQLShell scriptingGood to ha ve:PythonOperatin g SystemsStrong experience in Unix/Linux env

ironments Key Qual ifications10+ years of experience in Data Engineering / Big Data / Platform E ngineeringHands-on experience in AWS and Hadoop ecosystemsExperience in data migration projects (e.g., Hadoop to AWS, DB m igrations)Strong understanding of data warehousing concepts and ETL desig n patternsExpertise in query optimization and performa nce tuningExperience supporting production data platformsBachelor’s degree in Computer Science, Engineering, or rel

ated field Preferred Qua lificationsExperience in Banking / Financial Serv ices domainExperience with data lake architecture and governanceKnowledge of DevOps tools and CI/C D pipelinesExperience in platform engineering and framework

development

Soft SkillsExcellent problem-solving and analy tical skillsStrong communication and collaborati on abilitiesAbility to work independently and lead initiativesExperience mentoring

team members

Nice to HaveExperience with tools like Ansib le, Git, JIRAExposure to NoSQL databases (HB ase, MongoDB)Experience in data masking and securi

ty frameworks