Description

You will design, build, and maintain data pipelines and ETL processes to support integration across multiple platforms.

This role is on-site.

Responsibilities

• Develop and maintain ETL processes and data pipelines for seamless data integration.
• Orchestrate data workflows and process large datasets using Apache tools.
• Implement real-time data streaming and event-driven architectures.
• Optimize database architecture, SQL queries, and ETL processes for performance.
• Mentor engineers and ensure adherence to data governance and quality standards.

Required Skills

• 5+ years of experience in data engineering and ETL development.
• Proficiency with Microsoft SQL Server and the SSIS stack.
• Hands-on experience with Apache tools including Airflow, Spark, and Hadoop.
• Strong programming skills in Java, Python, or C#.
• Experience with real-time streaming via Apache Kafka or Azure Service Bus.
• Expertise in managing cloud data solutions on Azure or Google Cloud.
• Ability to create visualizations using Tableau or Power BI.

Preferred Skills

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

Key Skills

Education

Bachelor’s degree in Computer Science, Data Engineering