Senior Data Engineer

🔥 12 hours ago

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OREDATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

OREDATA is a Digital Transformation and IT Consulting firm with over a decade of experience, focusing on helping organizations across the EMEA region by leveraging big data and AI tools. The company specializes in cloud services, data science solutions, and intelligent automation workflows to transform enterprise data into actionable insights. OREDATA collaborates closely with clients to tailor their services to address unique business challenges and support digital transformation initiatives with a commitment to sustainable and efficient practices. Recognized for its partnership with Google Cloud, OREDATA offers managed services, consulting, and outsourcing solutions across several industries, including finance, e-commerce, and telecom.

📋 Description

• Develop, maintain, and optimize legacy ETL and DWH processes. • Work hands-on with Oracle, Teradata, SQL, PL/SQL, and stored procedures. • Develop IBM DataStage or similar ETL platforms such as Informatica or Ab Initio. • Participate in legacy-to-modern data migration projects. • Analyze existing data structures and map them to modern architectures. • Build and manage data pipelines using Apache Spark. • Read and write data from object storage environments such as AWS S3. • Contribute to technology evaluation, PoC studies, and future platform decisions. • Define technical standards and provide architectural guidance to data and analytical teams.

🎯 Requirements

• Minimum 5 years of experience in Data Engineering, ETL, or Data Warehouse environments. • Bachelor's degree in Computer Engineering, Software Engineering or a related Engineering discipline. • Strong experience with traditional DWH and legacy data platforms. • Hands-on experience with Oracle, Teradata, SQL, PL/SQL, and stored procedures. • Development with IBM DataStage or similar ETL platforms such as Informatica or Ab Initio. • Experience in at least one end-to-end data migration or legacy modernization project. • Hands on experince with Apache Spark. • Experience reading and writing data from AWS S3. • Ability to work hands-on while contributing at Senior, Staff Engineer, or Data Architect level. • Strong analytical, consultative, and communication skills.