Senior Data Engineer (Oracle) at Erbis Inc.

About us:

Erbis is a thriving tech powerhouse where innovation meets opportunity. We specialize in building cutting-edge software solutions that drive success for businesses worldwide. At Erbis, we don’t just develop software. We create impact. And to do that, we need the best talent in the industry. That’s where you come in.

Our Client:

Is an indie company based in Silicon Valley, California, that provides solution used by Fortune 500 companies helping them reduce costs and increase operational efficiency.

Our Product:

Aggregating data from more than 40 US-based and outside US carriers the system provides visibility for global supply chains, helping to enhance collaboration between multiple suppliers, customers, and supply chain partners by providing real-time insights about delivery costs, transactions, and other relevant supply chain information. Solution provides analytics tools that help companies not only control their shipping rates but also negotiate better contracts and identify fraudulent activities.

Responsibilities:

• 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 work experience with Oracle Database as a developer
• 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:

• Oracle DBA experience
• 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

Our perks and 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