Description

You will design, develop, and implement large-scale data engineering solutions within an agile DevOps product model.

This role is on-site.

Responsibilities

• Design and implement data ingestion, capture, processing, and curation pipelines.
• Build and manage consumption layers using Azure native cloud services.
• Develop software solutions using agile methodologies and DevOps practices.
• Provide technical direction for data management across the Azure technology stack.
• Support and administer data platforms and cloud infrastructure.

Required Skills

• 3+ years of software solution development using Agile and DevOps.
• 3+ years of data analytics experience using SQL.
• 2+ years of cloud development and data lake experience.
• Proficiency in Python, Spark, Unix, and SQL.
• Experience with Azure Data Factory, Azure Databricks, Azure Blob Storage, and Azure Data Lake.
• Experience with Azure EventHub, Azure Power Apps, Azure Functions, and Power BI.
• Experience with Snowflake, Teradata, SQL Server, and ADLS.
• Hands-on experience with CI/CD tools including GitHub, Jenkins, Azure DevOps, and Terraform.

Preferred Skills

• Azure Development Track Certification.
• Spark Certification.

Key Skills

Education

Any Graduate