RQ09596 - Software Developer - ETL - Senior at Bytecraft Soultions
Toronto, ON M5B 2L1, Canada -
Full Time


Start Date

Immediate

Expiry Date

11 Nov, 25

Salary

0.0

Posted On

11 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Migration, Data Quality

Industry

Information Technology/IT

Description

MUST HAVES:

  • Experience design, build, and maintain ETL pipelines using Azure Data Factory (ADF) to support secure and efficient data migration between different databases.
  • Experience in data cleansing, transformation, and field mapping to ensure high-quality, audit-ready data.
  • Proven hands-on experience with Azure Data Factory (ADF) including pipeline orchestration and transformation flows.
  • Experience with CI/CD deployment automation for ETL artifacts

POSITION OVERVIEW

We are hiring a highly skilled and proactive ETL Developer to join our team in supporting enterprise-wide data modernization and ongoing data operations. This role focuses on designing, developing, and maintaining scalable ETL pipelines using Azure Data Factory (ADF) to enable continuous data integration, transformation, and delivery across environments. You will collaborate with technical and business stakeholders to ensure data flows are secure, performant, and audit-ready—supporting both strategic initiatives and day-to-day operations.

CORE QUALIFICATIONS

  • 10+ years of experience in ETL development and data migration, preferably in complex or regulated environments.
  • Strong expertise with Oracle databases and Azure SQL.
  • Proven hands-on experience with Azure Data Factory (ADF) including pipeline orchestration and transformation flows.
  • In-depth understanding of data quality, auditability, schema mapping, and rollback planning.

POSITION OVERVIEW

We are hiring a highly skilled and proactive ETL Developer to join our team in supporting enterprise-wide data modernization and ongoing data operations. This role focuses on designing, developing, and maintaining scalable ETL pipelines using Azure Data Factory (ADF) to enable continuous data integration, transformation, and delivery across environments. You will collaborate with technical and business stakeholders to ensure data flows are secure, performant, and audit-ready—supporting both strategic initiatives and day-to-day operations.

CORE QUALIFICATIONS

  • 10+ years of experience in ETL development and data migration, preferably in complex or regulated environments.
  • Strong expertise with Oracle databases and Azure SQL.
  • Proven hands-on experience with Azure Data Factory (ADF) including pipeline orchestration and transformation flows.
  • In-depth understanding of data quality, auditability, schema mapping, and rollback planning.
Responsibilities

KEY RESPONSIBILITIES

  • Design, build, and maintain ETL pipelines using Azure Data Factory (ADF) to support secure and efficient Oracle-to-Azure data migration.
  • Lead efforts in data cleansing, transformation, and field mapping to ensure high-quality, audit-ready data.
  • Deploy and validate ETL processes across multiple environments (Dev, Test, UAT, Prod).
  • Troubleshoot and optimize ETL jobs, implement rollback strategies, and ensure performance at scale.
  • Document processes, data models, exception handling logic, and support runbooks for ongoing operations.
  • Collaborate with internal stakeholders, including data analysts, solution architects, and business users.

KEY RESPONSIBILITIES

  • Design, build, and maintain ETL pipelines using Azure Data Factory (ADF) to support secure and efficient Oracle-to-Azure data migration.
  • Lead efforts in data cleansing, transformation, and field mapping to ensure high-quality, audit-ready data.
  • Deploy and validate ETL processes across multiple environments (Dev, Test, UAT, Prod).
  • Troubleshoot and optimize ETL jobs, implement rollback strategies, and ensure performance at scale.
  • Document processes, data models, exception handling logic, and support runbooks for ongoing operations.
  • Collaborate with internal stakeholders, including data analysts, solution architects, and business users.
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