Confidential jobs - Data Engineer Finance Solutions

We are looking for a passionate and highly skilled Data Engineer to build and maintain financial analytics solutions based on Azure Modern Data Warehouse Architecture.

Roles & Responsibilities

Develop and maintain data pipelines using Azure native services like ADLS Gen 2, Azure Data Factory, Synapse, Spark, Python, Databricks.

Ensure software development principles, standards, and best practices are followed

Maintain existing applications and provide operational support.

Review and analyze user requirement and write system specifications

Ensure quality design, delivery, and adherence to corporate standards.

Participate in daily stand-ups, reviews, design sessions and architectural discussion.

Eligibility

5+ years of solution delivery experience in Sales & Marketing, Finance functional areas.

3+ years of experience delivering solutions using Microsoft Azure Platform with emphasis on data solutions and services.

Experience developing software architectures and key software components

Experience writing and maintaining SQL queries, experience performance tuning queries

Proficient in one or more of the following programming languages: C#, Java, Python, Scala, and related open-source frameworks.

Understanding of data services including Azure SQL Database, Data Lake, Databricks, Data Factory, Synapse

Data modeling experience on Azure DW, understanding of the dimensional model, star schemas, data vaults