Azure Data Engineer L3

Key Responsibilities:

• Experience in Azure Data Factory, Databricks, Azure Data Lake, and Azure SQL Server.
• Develop ETL/ELT processes using SSIS and/or Azure Data Factory.
• Build complex pipelines and dataflows using Azure Data Factory.
• Design and implement data pipelines using Azure Data Factory (ADF).
• Improve functionality/performance of existing data pipelines.
• Performance tuning of processes dealing with very large data sets.
• Configuration and deployment of ADF packages.
• Proficient in using ARM Template, Key Vault, and Integration Runtime.
• Adapt to work with ETL frameworks and standards.
• Strong analytical and troubleshooting skills to root cause issues and find solutions.
• Propose innovative, feasible, and best solutions for the business requirements.
• Knowledge of Azure technologies/services such as Blob Storage, ADLS, Logic Apps, Azure SQL, Web Jobs.

Additional Skills:

• Expert in ServiceNow, Incidents, and JIRA.
• Should have exposure to Agile methodology.
• Expert in understanding and building PowerBI reports using the latest methodologies.

Competencies:

• Strong analytical skills and problem-solving abilities.
• Excellent communication and collaboration with cross-functional teams.
• Innovative thinking and ability to provide effective business solutions.

Key Skills:

• Azure, ADF, Databricks.
• Migration project experience.

Soft Skills:

• Same as Data Engineer role:
• Strong problem-solving and analytical thinking.
• Ability to work effectively in a collaborative team environment.
• Excellent communication skills.

Qualification:

• Engineer Graduate.

Certifications (Preferred):

• Azure Certification.
• Databricks Certification.