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AWS Data Engineer with SQL
2 weeks ago
Role : AWS Data Engineer with SQL
Location : Toronto, ON(Hybrid)
Contract Position
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.
- Expert-level proficiency in SQL, including performance tuning, writing complex joins, and stored procedures in databases.
- Experience with AWS Data Engineering tools
Required Skills:
- AWS Glue
- Amazon Redshift
- AWS Lambda
- Amazon S3
- Athena
- Step Functions
- Experience 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
