The Data Engineer works to develop data platform, data warehouse and data cubes for analytics purpose. Additionally, he/she develop different technical tools/services to enable data ingestion from different data sources.

Responsibilities
• Identify and understand the data sources that are relevant for analysis.
• Design, architecture review and deployment of Big data and data warehouse solutions.
• Design, develop and build real-time data pipelines from a variety of sources (streaming data, APIs, data warehouse, messages etc.)
• Consolidate the requirements and using data engineering skills to design a robust DataMart.

Requirement
• Advanced degree in Computer Science or related fields (Information Engineering, Information Management, Data engineering, Applied Mathematics).
• Strong development skills in languages such as java, SQL, python or go.
• 5+ years of experience in working with Big Data Solutions development, familiar with data pipelines for batch and streaming applications.
• using ETL tools (Spark), familiar with data orchestration among various data sources, data parallel processing, data aggregation and data warehouse and data mart realizations.
• developing with relational databases (MS SQL, Oracle, MySQL) with data modeling capabilities.
• designing data monitoring dashboards using Power BI or any others visualization tools.

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