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Data Engineer-6

Realign
Toronto, CAN
Full-time
Onsite
Discovered 5 days ago
Data engineering and data warehousingBanking and financial servicesAmazon S3AWS GlueAWS LambdaAmazon Redshift

Full Job Posting

Role overview

Seeking an experienced Data Engineer with data warehouse expertise in banking and financial services.

Design and develop scalable data pipelines, lakes, and warehouses on AWS.

Full-time, on-site role in Toronto, Ontario.

Key responsibilities

  • Design, develop, and maintain scalable AWS data pipelines and workflows.
  • Build and manage data lakes and warehouses using Amazon S3 and Redshift.
  • Develop ETL/ELT processes with AWS Glue, Lambda, Spark, and related technologies.
  • Implement Kafka message processing, batch ingestion, and business-layer data processing.
  • Optimize ingestion, transformation, and loading; ensure data quality, governance, security, performance, and scalability.
  • Monitor and troubleshoot pipelines and workflows using AWS services; automate deployments through CI/CD.
  • Collaborate with clients and stakeholders, develop reusable frameworks, and perform data onboarding.
  • Analyze IBM Netezza code and design migration solutions for an AWS data lake.
  • Develop unit tests, support QA, SIT, and performance testing, and support production migration and deployment.

Required skills and experience

  • 12+ years of data engineering or data warehousing experience.
  • Strong banking and financial services domain experience.
  • Hands-on expertise with Amazon S3, AWS Glue, AWS Lambda, and 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.

Workplace

  • The posting specifies an on-site role in Toronto, Ontario.

Employment

  • Full-time role.

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