Job Description
**Position Summary**:
Our team is looking for a **Data Engineer** with a diverse background in data integration to join the Data Services team.
Some data are small, some data are very large (1 trillion+ rows), some data is structured, some data is not. Our data comes in all kinds of sizes, shapes and formats.
Traditional RDBMS like PostgreSQL, Oracle, SQL Server, MPPs like StarRocks, Vertica, Snowflake, Google BigQuery, and unstructured, key-value like MongoDB, Elasticsearch, to name a few.
We are looking for individuals who can design and solve any data problems using different types of databases and technologies supported within our team.
We use MPP databases to analyze billions of rows in seconds.
We use Spark and Iceberg, batch or streaming to process whatever the data needs are.
We also use Trino to connect all different types of data without moving them around.
Besides a competitive compensation package, you’ll be working with a great group of technologist...
Our team is looking for a **Data Engineer** with a diverse background in data integration to join the Data Services team.
Some data are small, some data are very large (1 trillion+ rows), some data is structured, some data is not. Our data comes in all kinds of sizes, shapes and formats.
Traditional RDBMS like PostgreSQL, Oracle, SQL Server, MPPs like StarRocks, Vertica, Snowflake, Google BigQuery, and unstructured, key-value like MongoDB, Elasticsearch, to name a few.
We are looking for individuals who can design and solve any data problems using different types of databases and technologies supported within our team.
We use MPP databases to analyze billions of rows in seconds.
We use Spark and Iceberg, batch or streaming to process whatever the data needs are.
We also use Trino to connect all different types of data without moving them around.
Besides a competitive compensation package, you’ll be working with a great group of technologist...
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