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AWS Data Engineer

Apptoza Inc — Canada · Posted ~4 hours ago

Senior Contract Hybrid

Skills

AWS S3 AWS Glue Lambda Python PySpark SQL ETL/ELT Glue Redshift

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Summary ✨ AI‑Generated

A financial technology team is seeking an experienced data engineer to build cloud-based data pipelines, optimize analytics platforms, and support secure enterprise data processing.

Highlights

Long-term cloud data engineering opportunity focused on scalable pipelines, analytics platforms, and enterprise data solutions.

Description

AWS Data Engineer – Banking / Financial Services Location: Toronto, ON Hybrid Contract: Long Term | Experience: 8+ Years Job Summary Seeking an experienced AWS Data Engineer to build and support scalable data pipelines and cloud data platforms for banking and financial services applications. Key Responsibilities Develop ETL/ELT pipelines using AWS Glue, S3, Lambda, Step Functions.Build data processing solutions using Python, PySpark, and SQL.Work with Redshift, Athena, and EMR for data storage and analytics.Perform data transformation, validation, reconciliation, and quality checks.Optimize data pipelines and troubleshoot production issues.Implement CI/CD and infrastructure automation using Git, Jenkins, Terraform/CloudFormation.Collaborate with data architects, developers, and business teams.Follow banking security, compliance, and data governance standards.Must-Have Skills AWS | S3 | Glue | Redshift | Athena | EMR | Lambda | Python | PySpark | SQL | ETL/ELT | Data Warehousing | Git | CI/CD Preferred Banking / Payments / Financial Services experience.Kafka/Kinesis, Snowflake, Databricks, Airflow/MWAA, Terraform.Experience with financial, customer, transaction, or regulatory data.