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Senior Staff Engineer,Azure Data Factory

Roles & Responsibilities

  • 6+ years of total experience in data engineering, ETL/ELT, and data orchestration.
  • Strong hands-on experience in Azure Data Factory (ADF) including pipelines, triggers, data flows, linked services, and integration runtime.
  • Expertise in ETL/ELT workflows, data orchestration, ADF performance tuning, monitoring, and troubleshooting, including error handling and logging.
  • Proficiency with Azure DevOps (CI/CD), data architecture principles, and solid programming skills in Java/J2EE with REST API integration; knowledge of Key Vault and RBAC security.

Requirements:

  • Develop and maintain ADF pipelines, triggers, and data flows; build scalable ETL/ELT solutions and reusable frameworks.
  • Integrate ADF with Java APIs/microservices for data ingestion; optimize pipelines for performance and cost efficiency.
  • Manage integration runtime; implement monitoring, alerting, error handling mechanisms, and support production incidents and RCA.
  • Collaborate with cross-functional teams and mentor junior developers.

Job description

Company Description

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Job Description

REQUIREMENTS:

  • Total experience 6+ years.
  • Strong hands-on experience in Azure Data Factory (ADF) (Pipelines, Triggers, Data Flows, Linked Services, Integration Runtime).
  • Proven expertise in ETL / ELT workflows and data orchestration.
  • Strong experience with Azure DevOps (CI/CD) and data architecture principles.
  • Solid programming skills in Java / J2EE with REST API integration.
  • Experience in ADF performance tuning, monitoring, and troubleshooting.
  • Knowledge of error handling, logging, and security (Key Vault, RBAC).
  • Exposure to Spring Boot, Synapse/Databricks, Python is a plus.
  • Good communication and stakeholder management skills.

RESPONSIBILITIES:

  • Develop and maintain ADF pipelines, triggers, and data flows.
  • Build scalable ETL / ELT solutions and reusable frameworks.
  • Integrate ADF with Java APIs/microservices for data ingestion.
  • Optimize pipelines for performance and cost efficiency.
  • Manage integration runtime and ensure smooth data connectivity.
  • Implement monitoring, alerting, and error handling mechanisms.
  • Support production, incident resolution, and RCA.
  • Collaborate with cross-functional teams and mentor junior developers.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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