DontApply.Club
Login Register

Data Engineer

Xforiainc — Canada · Posted ~5 days ago

Senior Contract Hybrid

Skills

AWS Python AWS Glue EMR Apache Spark Amazon Redshift Amazon Kinesis Amazon S3 ETL Data Pipelines Data Governance Data Quality Spark Redshift Kinesis S3 SQL NoSQL

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary

Join a team building scalable cloud data platforms using modern data engineering practices. You will develop automated data pipelines, improve data quality, optimize cloud infrastructure, and collaborate with multidisciplinary teams while exploring AI-powered data solutions.

Highlights

Opportunity to build scalable cloud-based data platforms, work with modern AWS services, collaborate across teams, and gain exposure to Generative AI initiatives in a hybrid work environment.

Description

Hello There, Greetings from Xforia, Inc, We are looking for the below position with our company Xforia & we thought you would be a good fit for this position. If you are interested, please reply to this email with your most updated resume & visa status. Job Title Data Engineer (AWS + Python) Location: Toronto, Ontario, Canada – Hybrid Contract Years of Experience 7-10 Years Data,AWS Glue with EMR, Spark, Redshift,Kinesis,S3,AWS Native Data Services. Responsibilities Design, develop, and maintain scalable data pipelines and architectures on AWS. Automate data workflows using Python to enhance efficiency and reliability. Ensure data quality, governance, and compliance across all data processes. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Integrate Generative AI technologies to enhance data solutions and drive innovation. Monitor and optimize data systems for performance and scalability. Document data processes and frameworks for knowledge sharing and compliance. Mandatory Skills Proven experience in Data Engineering with a strong focus on AWS services. Proficiency in Python for data manipulation and automation. Experience in building and maintaining data pipelines and ETL processes. Strong understanding of data quality and governance principles. Preferred Skills Familiarity with Generative AI technologies and their application in data solutions. Experience with data visualization tools and techniques. Knowledge of SQL and NoSQL databases. Understanding of machine learning concepts and frameworks.