Data Engineer

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🔥 4 minutes ago

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PeerIslands

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

PeerIslands is a technology company that specializes in transforming enterprise architecture with innovative strategies and advanced technology solutions. They excel in AI-enabled rapid application modernization and data engineering services, aiming to drive innovation and efficiency for their clients. With products like Migration Copilot, Developer Copilot, and Intelligent App Copilot, PeerIslands offers tailored solutions to rapidly modernize software applications and infrastructure. Their approach focuses on leveraging AI to ensure swift transformation and enhance user experiences while upholding strict security and compliance standards. Additionally, PeerIslands collaborates with partners in various industries including healthcare and financial services to provide modernization and data solutions.

📋 Description

• Develop and maintain scalable ETL/data pipelines using Databricks and AWS Glue. • Build data ingestion and transformation workflows for structured and semi-structured data. • Write efficient PySpark, Python, and SQL code for large-scale data processing. • Integrate data from multiple sources, including MongoDB and relational databases. • Implement data quality, validation, and reconciliation checks. • Optimize pipeline performance, reliability, and scalability. • Collaborate with architects, analysts, and application teams to deliver data solutions. • Support production deployments, monitoring, and troubleshooting.

🎯 Requirements

• 5+ years of experience in Data Engineering or ETL development. • Strong hands-on experience with Databricks and PySpark. • Experience with AWS Glue and AWS data services. • Proficiency in Python and SQL. • Experience working with MongoDB. • Knowledge of ETL, data modeling, and data warehousing concepts. • Familiarity with Delta Lake/Lakehouse architecture is preferred. • Experience with Git and Agile development practices.

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