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A leading company is seeking an AWS Data Engineer to design and implement cloud-based data pipelines in a hybrid work environment. The role involves developing ETL processes, collaborating with stakeholders, and ensuring data quality and compliance. Ideal candidates will have strong experience with AWS services and SQL development.
Job ID: 79955
Location: Toronto, Ontario – Hybrid
Design and implement cloud-based data pipelines using AWS services (e.g., S3, Glue, Lambda, Redshift, RDS, EMR). Extract, transform, and load (ETL) data from various sources, including Netezza and other legacy systems.
Develop and maintain ETL processes using SSIS.
Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
Optimize and tune data pipelines for performance and scalability.
Ensure data quality, integrity, and consistency across systems.
Implement security and compliance best practices in cloud data environments.
Strong hands-on experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, Athena). Proficiency with IBM Netezza SQL development, performance tuning, and data migrations.
Expertise in SSIS (SQL Server Integration Services) for building and maintaining ETL packages.
ETL
SQL
AWS Glue
Lambda
Redshift
For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com