AWS Data Engineer with Strong SQL, GLUE, Lambda, S3, PySpark, Kafka
Atlantis IT groupRole Overview
Atlantis IT group is hiring a mid-level AWS Data Engineer with Strong SQL, GLUE, Lambda, S3, PySpark, Kafka. This is a full-time hybrid role, based in Ontario. Part of Atlantis IT group's Security hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Role: AWS Data Engineer With Strong SQL
Location: Toronto, Hybrid
Client: Banking Labs/BMO
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, 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
Frequently Asked Questions
How do I apply for the AWS Data Engineer with Strong SQL, GLUE, Lambda, S3, PySpark, Kafka position at Atlantis IT group?
Use the Apply button above to submit your application directly to Atlantis IT group. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the AWS Data Engineer with Strong SQL, GLUE, Lambda, S3, PySpark, Kafka role at Atlantis IT group remote or in-office?
This is a hybrid role based in Ontario. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a AWS Data Engineer with Strong SQL, GLUE, Lambda, S3, PySpark, Kafka at Atlantis IT group earn?
Atlantis IT group has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the AWS Data Engineer with Strong SQL, GLUE, Lambda, S3, PySpark, Kafka role at Atlantis IT group posted?
This role was posted on March 20, 2026 (79 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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