Data Engineer

EXPERIENCE AND SKILLS NEEDED - Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc) to ensure data accuracy and consistency. - Proficient in building ETL pipeline (eg. SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring). - Proficient in database design and various databases (e.g. SQL, PostgreSQL, AWS S3, Athena, mongodb, postgres/gis, mysql, sqlite, voltdb, cassandra, etc). - Experience in cloud technologies such as GPC, GCC (i.e. AWS, Azure, Google Cloud). - Experience and passion for data engineering in a big data environment using Cloud platforms such as GPC, GCC (i.e. AWS, Azure, Google Cloud). - Experience with building production-grade data pipelines, ETL/ELT data integration. - Knowledge about system design, data structure and algorithms. - Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtuali...

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