Data Engineer

Design, build, and maintain highly efficient and scalable real-time & batch data pipelines

- Implement and enforce data modeling standards

- Build data pipelines using a Medallion Architecture, progressing data through Bronze, Silver and Gold

- Develop and optimize composable data architectures and data transformation processes

- Manage and maintain data storage solutions across our Data Lake (S3), Data Warehouse

- Write and optimize complex SQL queries and Python scripts

- Implement and orchestrate data workflows.

Good to Have (Not Mandatory) :

- Exposure to DBT (Data Build Tool)

- Experience with reporting tools, preferably Metabase

We are Looking for Someone Who :

- Strong proficiency in SQL and Python

- Good understanding of data modeling concepts

- Strong understanding of Medallion and composable data architectures.

- Solid understanding of data architecture concepts including Data Lake, Data Warehouse, and Data Lakehouse.

- Hands-on experience with AWS cloud services, including but not limited to S3, Redshift, Athena, Glue, EMR, and Lambda.

- Experience with open-source data tools like Airflow, DBT, and Airbyt.

- Familiarity with Hive & Iceberg tables is essential.