Description

You will lead data engineering initiatives and build scalable data solutions.

This role is on-site.

Responsibilities

• Design and implement data pipelines using ETL processes.
• Develop and maintain data processing jobs using PySpark and Databricks.
• Build and manage APIs using REST principles.
• Automate operational tasks using Shell scripting.
• Utilize Power BI for data visualization and reporting.

Required Skills

• 10+ years of professional experience in data technologies.
• Expertise in Power BI for data visualization.
• Strong proficiency in Azure services (Ms Azure, Azure).
• Experience with ETL frameworks and Azure Data Factory (ADF).
• Knowledge of Python and SQL.
• Experience building and consuming REST APIs.
• Familiarity with Spark technologies (PySpark).
• Proficiency in Shell scripting.

Preferred Skills

• Experience with Data Lake architectures.
• Familiarity with CosmosDB or Synapse.

Key Skills

Education

Any Graduate