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Acestack
Data EngineerAcestack • Toronto, ON, Canada
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Data Engineer

Data Engineer

Acestack • Toronto, ON, Canada
9 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Title: Data Engineer
Job Type: Full Time
Location: Toronto, ON (Onsite)

Job Description

We are seeking an experienced Data Engineer with strong data warehouse expertise and extensive experience in the banking and financial services domain. The ideal candidate will have 12+ years of experience in data engineering and hands-on expertise designing and developing scalable data pipelines, data lakes, and data warehouses on AWS.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and workflows on AWS
  • Build and manage data lakes and data warehouses using Amazon S3 and Redshift
  • Develop ETL/ELT processes using AWS Glue, Lambda, Spark, and related technologies
  • Implement Kafka message processing, batch data ingestion, and business-layer data processing
  • Optimize data ingestion, transformation, and loading processes
  • Ensure data quality, governance, security, performance, and scalability
  • Monitor and troubleshoot data pipelines and workflows using AWS services
  • Automate deployments through CI/CD pipelines
  • Collaborate with clients, data users, and stakeholders to understand requirements
  • Develop reusable data engineering frameworks and design patterns
  • Perform data onboarding using established frameworks
  • Analyze existing IBM Netezza code and design migration solutions for AWS Data Lake
  • Develop unit tests and support QA, SIT, and performance testing
  • Support migration and deployment of solutions into production

Required Skills & Experience

  • 12+ years of experience in data engineering/data warehousing
  • Strong experience in the banking and financial services domain
  • Hands-on expertise with Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift
  • Experience with AWS Step Functions, IAM, and CloudWatch
  • Strong ETL/ELT and data pipeline development experience
  • Experience with IBM Netezza and migration to AWS environments
  • Knowledge of Kafka, Spark, and batch data processing
  • Strong understanding of data warehouse architecture and data lake solutions

Good to Have

  • AWS Solutions Architect or Data Analytics certification
  • Experience with Airflow or Amazon MWAA
  • Exposure to Snowflake, Databricks, or Delta Lake
  • Experience with CI/CD and cloud deployment practices
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Data Engineer • Toronto, ON, Canada