Senior Data Engineer, Oracle

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Erbis

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

SaaS • Enterprise • Technology

Erbis is a technology company specializing in developing customized software solutions for various industries. The company offers services such as platform and product development, AI and machine learning, web development, mobile app development, and more. Erbis focuses on delivering high-quality and scalable applications, catering to businesses in sectors like supply chain, legal, and startups. Their expertise includes digital transformation, cybersecurity, and modernization of legacy systems. Erbis is committed to providing innovative tech solutions to optimize costs and improve operational efficiency for their clients.

📋 Description

• Develop and maintain an OLAP ETL project using PL/SQL, AWS Glue (Python), RedShift • Support Java and Data Science development teams as an Oracle database expert • Develop and support other SQL and PL/SQL code existing in the platform

🎯 Requirements

• Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative bachelor or master’s degree • 4+ years of experience with data querying languages SQL/PL SQL • 4+ years of hands-on experience with Oracle Database as a Developer, DBA or Application DBA • Proven AI-assisted development experience • AI-coding certifications e.g. Claude Code Certified Architect or similar • English level: Upper-Intermediate or above • Nice to have: 4+ years of experience with large-scale data warehousing and analytics projects, modeling, ETL development • Experience with DWH / ETL using Amazon Web Services technologies (DMS, Glue, Redshift, Athena etc) • Experience with other columnar or hybrid data warehouse solutions (e.g. Snowflake, ClickHouse, BigQuery, Databricks) • Experience with programming languages: Python/Java/Scala • Experience in projects involving cross-functional teams and leaders to build scalable processes and metrics • Experience articulating business questions and using quantitative techniques to arrive at a solution using available data • Experience building data products incrementally and integrating and managing datasets from multiple sources • Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective data strategy • Experience with data visualization software such as Tableau

🏖️ Benefits

• Paid Vacation days: 24 working days • Paid Sick days: 15 working days • The opportunity to dedicate up to 10% of working hours for self-education and personal development