We are seeking a skilled Data Engineer to design, build, and maintain efficient data warehouse solutions on the AWS cloud platform. You will be instrumental in developing robust ETL processes, automating data analysis tasks, and collaborating with cross-functional teams to deliver impactful analytics and reporting services.

Responsibilities:

• Design, develop, and maintain efficient data warehouse solutions leveraging the AWS cloud platform.
• Build and optimize ETL processes to seamlessly integrate external data sources with internal databases, ensuring data accuracy and consistency.
• Develop, optimize, and automate data analysis workflows to enhance processing efficiency and overall performance.
• Collaborate effectively with cross-functional teams to understand and support business requirements, ensure data compliance, and deliver high-quality analytics and reporting services.

Requirements:

• Deep proficiency in AWS or comparable cloud platforms, with significant hands-on experience in big data services such as S3, Lambda, Glue, Athena, and EMR.
• Strong expertise in at least one programming language (Python, Java, or Scala) for practical implementation and automation.
• Advanced proficiency in Hive SQL for complex data analysis, querying, and reporting.
• Proven experience working with Hadoop, Hive, Spark, or other similar big data processing technologies.
• Demonstrated ability to interpret technical documentation and independently develop and optimize data solutions.