Cloud Data Engineer

🔥 12 hours ago

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OmegaHires

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

🏢 Enterprise

Recruitment • Enterprise • IT Services

OmegaHires is a full-service digital and enterprise IT staffing firm that focuses on providing both permanent and contingent workforce solutions across various digital and enterprise technologies. The company specializes in UX development with full stack developers using modern technologies such as React, Angular, and Node. js, as well as microservices development utilizing Java, Scala, Go, and SQL. OmegaHires also provides expertise in integration and big data technologies, DevOps for automated CI/CD pipelines, and enterprise IT management including ERP and SAP systems. Committed to "responsible recruiting," OmegaHires uses unique sourcing and assessment methodologies and offers training and mentorship to ensure candidates meet the evolving needs of their clients.

📋 Description

• Develop and maintain cloud-based data solutions • Collaborate with cross-functional teams to design ETL processes • Ensure data integrity and security • Optimize data pipelines for performance • Work on cloud migration projects • Train junior data engineers on best practices

🎯 Requirements

• 5+ years of experience in Data Engineering or Cloud Data Platform development. • Strong experience with Azure Databricks. • Hands-on experience with Microsoft Azure and AWS cloud platforms. • Experience designing and developing ETL/ELT pipelines. • Strong expertise in data migration and cloud modernization projects. • Experience with relational databases: • PostgreSQL • Amazon Aurora • Amazon RDS • Microsoft SQL Server • Strong SQL programming and query optimization skills. • Experience with data integration, transformation, and performance tuning. • Familiarity with Git and CI/CD processes. • Experience working in Agile/Scrum environments. • Preferred Qualifications: • Experience with Azure Data Factory (ADF), AWS Glue, or similar data integration tools. • Knowledge of Spark, PySpark, or Scala. • Experience with data lakes, Delta Lake, and Lakehouse architecture.