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Sql developer • etobicoke on
Sr. AWS Data Engineer, Infrastructure With Strong SQL
Atlantis IT groupToronto, ON, CanadaSoftware developer
Clientserver Tech SystemsMississauga, ON, CanadaSQL Server Developer
Astra North Infoteck Inc.Mississauga, ON, caSQL Developer / Data Engineer - Contract, 4 Months - Toronto, Hybrid
CorGTAToronto Division, Ontario, CanadaServiceNow Developer
Spirit Omega Inc.Toronto, ON, CASenior Developer
VDart IncMississauga, ON, CanadaPython & SQL Developer - Operate
DeloitteToronto, ON, ON, CAsoftware developer
ERP Buddies Inc.Mississauga, ON, CASalesforce Developer
Royal Bank of Canada>TORONTO, CanadaSoftware Developer
Talent Test AccountToronto, Ontario, CADatabase Developer (Oracle / MS SQL)
ScotiabankToronto, ON, CAData Analyst – SQL, Data Pipelines & AI
Recrute ActionToronto, ON, caData Pipeline Engineer – SQL Specialist
MercorToronto, Ontario, CanadaDeveloper
LancesoftToronto, ON, CADelphi Developer
ProcomToronto, CAOracle PL/SQL Software Engineer
RELQ TECHNOLOGIES LLCToronto, ON, CanadaPython Developer
STACK IT RecruitmentToronto, ON, CASoftware Developer
WillfulToronto, Ontario, Canada- Regina, SK (from $ 105,000 to $ 185,250 year)
- New Westminster, BC (from $ 115,566 to $ 165,750 year)
- High River, AB (from $ 154,429 to $ 163,999 year)
- Markham, ON (from $ 102,375 to $ 163,800 year)
- Bradford West Gwillimbury, ON (from $ 82,749 to $ 156,019 year)
- High Level, AB (from $ 102,375 to $ 156,000 year)
- Toronto, ON (from $ 118,408 to $ 155,979 year)
- Ottawa, ON (from $ 86,775 to $ 155,900 year)
- Old toronto, ON (from $ 110,000 to $ 155,757 year)
- Montreal, QC (from $ 95,000 to $ 155,627 year)
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Sr. AWS Data Engineer, Infrastructure With Strong SQL
Atlantis IT groupToronto, ON, Canada- Full-time
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Client JD
Role: Sr. AWS Data Engineer, Infrastructure With Strong SQL
Location: Toronto
Client: Banking Labs/BMO
1yr contract
Hybrid
Job Summary:
Managing cloud infrastructure, Automation and DevOps, Security & Compliance, and Monitoring/Troubleshooting.
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, Kafka, Airflow, 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 Glue
Amazon Redshift
AWS Lambda
Amazon S3
Athena
Kafka
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