Description

You will design, implement, and support analytics solutions and data engineering pipelines within an Azure environment.

Responsibilities

• Design and implement batch and streaming data pipelines using cloud technologies.
• Build data migration and engineering solutions using Azure products and services.
• Own the full development lifecycle, including ingestion, data modeling, testing, and CI/CD pipelines.
• Collaborate with source data application teams and product owners to deliver actionable insights.
• Support product ownership within a DevOps team model, including performance tuning and production support.

Required Skills

• 3+ years of software solution development using Agile and DevOps methodologies.
• 3+ years of data analytics experience using SQL.
• 2+ years of cloud development and data lake experience, specifically with Microsoft Azure.
• Proficiency in Python, Spark, Unix, and SQL.
• Experience with Azure Data Factory, Azure Databricks, Azure DevOps, and Azure Data Lake Storage (ADLS).
• Hands-on experience with Azure Blob Storage, Azure Functions, Event Hub, and Azure Stream Analytics.
• Knowledge of data platforms such as Teradata, SQL Server, or Snowflake.
• Experience with CI/CD tools like GitHub, Jenkins, or Terraform.
• Ability to work within a product model to design and implement large-scale applications.

Preferred Skills

• Azure Development Track or Spark Certification.
• Experience in the airline industry.

Key Skills

Education

Any Graduate