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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL data pipelines ensuring reliable data flow from source to destination.
Build and optimize data storage solutions such as data warehouses and data lakes focusing on performance and cost efficiency.
Implement data quality checks and security measures; troubleshoot and resolve issues in pipelines and storage systems.
Minimum Requirements
5+ years of relevant data engineering work experience.
Proven hands-on experience in designing and developing data pipelines on Azure cloud platform, including Databricks.
Proficiency in at least one scripting language: Python, PowerShell, JavaScript, or Scala.
Bachelor’s degree in Computer Science, IT, Data Engineering, or a related field.
Ideal Candidate Profile
Experienced in working with Azure analytics services and Azure SQL Database in scalable environments.
Skilled in automating data workflows and performance optimization of pipelines and queries.
Capability to collaborate with data architects, analysts, and business stakeholders to deliver high-quality data ingestion solutions.