Data Engineer

What You Will Do

• Gather business requirements to support BI projects.
• Explore existing and new data sources and facilitate the integration to the Data Warehouse.
• Design and develop Data Quality Framework across Data Platform.
• Design, implement Data Model for enterprise data warehouse.
• Classifying data based Data Governance policy and Data Access Framework.
• Develop data definition and metrics and maintain the consistency across Data team.
• Modify existing structured and unstructured data integration solutions for rapidly evolving business needs.
• Collaborate with a cross-functional team to resolve data quality and operational issues.
• Create conceptual models and data flow diagrams.
• Participate with end users to gather requirements and consult on data integration solutions.
• Receive and adhere to project delivery deadlines.  
• Migrate code across environments and leverage a source code management system.
• Develop and maintain proper documentation for data pipeline and service.

What you will need

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related fields.
• 2-5 years of experience in data engineering, software engineering, or a similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Solid understanding of SQL, database management systems, and data modeling concepts.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong problem-solving skills and attention to detail.
• Ability to design and implement scalable data pipelines and ETL processes.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Deeper understanding of data engineering concept, programming language, and big data technology.