ETL Developer

1 day ago


Calgary Alberta, Calgary region, Canada KTek Resourcing Full time

Required Skills, Experience and Qualifications :

Key Responsibilities :

• Design, develop, and maintain ETL processes to support data extraction, transformation, and loading between source and target data stores.

• Optimize and automate data pipelines to ensure high performance and reliability.

• Develop data workflows and pipelines using AWS Glue for data extraction and transformation tasks.

• Manage and maintain Glue jobs, crawlers, and workflows, ensuring efficient data processing.

• Implement serverless functions for on-demand ETL processes and data integrations.

• Use Lambda for task automation and event-driven data processing as required.

• Set up and manage DataSync for efficient and secure data transfers between on-premise data sources and AWS cloud storage.

• Use S3 for data storage and management, ensuring data availability, security, and optimized storage.

• Build and maintain data pipelines for AWS Aurora (PostgreSQL) and DynamoDB, ensuring data accuracy and consistency.

• Implement data archiving, backup, and disaster recovery processes for both databases.

• Extract data from MS SQL Server and integrate it into cloud storage for analytics and reporting.

• Perform data transformations and develop ETL jobs to support data integration between on-premise and cloud databases.

• Ensure data accuracy, integrity, and compliance with internal and external data policies.

• Implement data validation checks and monitor ETL job status, ensuring reliable data flow.


Required Qualifications :

• 5+ years of experience in ETL development and data engineering.

• Strong experience with AWS Glue, Lambda, DataSync, S3, Aurora (PostgreSQL), DynamoDB, and MS SQL Server.

• Proficiency in SQL and data modeling techniques.

• Experience with Python or other scripting languages for ETL automation.

• Strong analytical and problem-solving skills.


Preferred Qualifications :

• AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect).

• Knowledge of data warehousing and data lake architectures.


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