• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Write clean, efficient, and well-documented code using programming languages such as Python, Java, or Scala.
• Design, implement, and optimize data pipelines and ETL processes to ingest, process, and analyze large volumes of data from various sources.
• Develop and maintain data warehouses, data lakes, and other data storage solutions.
• Utilize cloud-based technologies (e.g., AWS, Azure, Google Cloud) for data storage, processing, and deployment.
• Stay current with emerging technologies and best practices in data engineering and software development.
• Work with domain experts and customers to identify areas for improvement and applying best practices.
Requirements
• Master's degree from 211/985 university, preferably in information technology, computer science or equivalent.
• Master of programming language like Python, JavaScript etc.
• Excellent in Database query language like SQL, Spark SQL.
• Good knowledge in database structure and systems like MSSQL, Oracle.
• Experience in BI tool like Power Bi, Tableau.
• Good communication skills.
• Fluent in English (writing and speaking).
• Knowledge in SAP system (WMS,TMS,FTS) is a plus.
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