Description

Lead the design, development, and implementation of large-scale applications and data engineering solutions within an agile DevOps product model.

Responsibilities

• Design and implement large-scale applications and data engineering solutions.
• Manage data ingestion, capture, processing, curation, and consumption layers using the Azure stack.
• Provide practical technical direction within Azure Native cloud services.
• Develop and administer data platforms using Python, Spark, and SQL.
• Maintain CI/CD pipelines and cloud infrastructure.

Required Skills

• 5+ years of software solution development using agile DevOps in a product model.
• 5+ years of data science, business intelligence, or data analytics experience.
• SQL mastery and expertise in Python and Spark.
• Extensive experience with Azure: Data Factory, Databricks, EventHub, Blob Storage, Data Lake, and Azure Functions.
• Proficiency with BI tools: PowerBI, Cognos, and Tableau.
• Experience with data platforms: Snowflake, SQL Server, Oracle, MongoDB, Couchbase, or Teradata.
• Experience with CI/CD tools: Azure DevOps, GitHub, Jenkins, or Terraform.

Preferred Skills

• 3 years of full-stack development experience, specifically with Azure Power Apps and Power BI.
• Azure Development Track or Spark certification.
• Experience in the airline industry.

Key Skills

Education

Bachelor's degree