Data Engineer with SQL

Information about the project:

Location: fully remote

Industry: banking

Rate; it depends on your expectations

Summary

The Data Analyst/Data Engineer will focus on supporting and delivering various business requests related to customer data management within a dynamic team, aimed at improving data quality and system integration.

Main Responsibilities

• Analyzing and improving data quality in the data lake — identifying and resolving data-related issues.

• Reviewing, analyzing, and enhancing PL/SQL code — often using GitHub to track changes, bugs, commit history, etc.

• Collaborating with the development team (who leads on the business side) to understand issues and implement solutions.

• Supporting the alignment of core banking and account systems — identifying data gaps and ensuring they are filled.

• Writing advanced SQL queries to analyze large volumes of data.

Key Requirements

• Advanced SQL

• PySpark / Python

• PL/SQL

• Data analysis skills

• Jira, Confluence

Nice to Have

• Experience with data governance processes

• Familiarity with Hadoop ecosystem

• Understanding of data lake architectures

• Experience in banking industry