Data Engineer

About the job
Proven experience as a Data Engineer or similar role, with a focus on Azure Data Factory and ETL processes.
Strong proficiency in Azure Data Factory, including designing and orchestrating complex data pipelines.
Solid understanding of ETL concepts, methodologies, and best practices.
Experience with SQL, T-SQL, and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and services such as Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage.
Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Snowflake).
Strong analytical and problem-solving skills, with keen attention to detail.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Self-motivated and proactive with a passion for continuous learning and professional growth.

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.

Responsibilities

[Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.]

Example: Determine and develop user requirements for systems in production, to ensure maximum usability

Qualifications

[Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]

Example: Excellent verbal and written communication skills

Skills: azure synapse analytics,azure,python,azure sql database,etl,t-sql,azure blob storage,sql,data,powershell,azure data factory,azure data lake storage,snowflake