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
- Data Engineer Finance Solutions
- Experience : 0 to 3
- Job Type : Full Time
- Interview Type : Face to Face Interview
