Description:

The company is seeking a Mid-Level Data Developer to work with a financial client.
The role involves ensuring that data is received, processed, transformed, stored, and accessible.
Responsibilities include building and managing data pipelines and maintaining databases.
The position requires managing large-scale data using Big Data and Teradata.
The developer will gather and prepare data for application and processing, correcting any potential processing errors.
The role also includes modeling new databases and constructing ETLs for new connections.
The developer will add value by building, structuring, and optimizing data for use by analysts and users.

Requirements:

Candidates must have knowledge in SQL, Python, and Databricks.
Experience with Teradata, SaS, PL/SQL, Shell script, QlikView, Integration Services/Power Center, and SQL Server is a plus.
The position is suitable for individuals with a background in data engineering.

The job offers the flexibility of home office and remote work options.
The position is part of a dynamic team focused on talent attraction and development.