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Data Engineer (SQL & AWS & ETL) - Jobs in Toronto, Ontario, M5A 3N7

Atlantis IT group
Job LocationToronto, Ontario, M5A 3N7
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull time

Job Description

Role Data Engineer (SQLamp; AWS) Start Date Urgent /ASAP Experience Level 8-12 yrs Job Summary We are seeking a highly skilled Data Engineer with deep expertise in SQL (including stored procedures) and AWS-based data engineering solutions. You will be responsible for designing, building, and optimizing scalable data pipelines and systems that enable analytics, reporting, and data-driven decision-making across the organization. Key Responsibilities

  • Develop, and optimize complex SQL queries and stored procedures for high-performance data processing and transformation.
  • Build and maintain scalable ETL/ELT pipelines on AWS using services such as Glue, Lambda, S3, Athena, Redshift, and Step Functions.
  • Implement and maintain data integration solutions from various data sources into a centralized data lake or data warehouse.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver reliable solutions.
  • Monitor and troubleshoot data pipelines to ensure data accuracy, timeliness, and reliability.
  • Apply data governance and security best practices in all development work.
Skills Required
  • Expert-level proficiency in SQL, including performance tuning, writing complex joins, and stored procedures in databases.
  • Experience with AWS Data Engineering tools
AWS GlueAmazon RedshiftAWS LambdaAmazon S3AthenaStep FunctionsExperience with data modeling, ETL orchestration, and data pipeline development in AWS.Familiarity with version control systems (e.g., Git) and CI/CD for data workflows.Airflow
  • Experience with Python and PySpark

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