Full Stack Data Engineer

Skills

Database DevelopmentMicrosoft AzureAzure DatabricksBusiness AcumenBusiness RequirementsDatabase SystemsExtract

Role

What the job involves

The main requirements, responsibilities and hiring steps.

7+ years of data engineering experience with expertise in backend database engineering and frontend report development
Hands-on experience with Azure database technologies and Databricks including data modeling and the development of custom data solutions
Extensive experience working with MS SQL databases including complex SQL scripting and database optimization
Proficient in developing impactful visualizations and reports using Power BI that drive business decisions
3+ years of experience in developing and maintaining scalable and high-performance ETL pipelines
Strong ability to interpret business requirements and translate them into effective data solutions
Experience performing unit testing on code to ensure data integrity and accuracy
Proven success in working across multiple teams with a strong ability to communicate technical concepts to non-technical stakeholders
A proactive self-starting attitude with a focus on continuous process improvement and innovation

Take ownership of designing developing and maintaining robust data pipelines that ensure the smooth flow of data across the organization
Manage and optimize database systems focusing on both backend development and the alignment of data architecture with business goals
Work closely with leadership to understand business dynamics provide data-driven recommendations and continuously improve data processes
Design and develop advanced data visualizations using Power BI transforming complex data sets into actionable insights for various business units
Utilize Databricks to create custom ETL pipelines and dashboards offering tailored solutions that meet specific business needs
Apply best practices in version control data processing and testing to maintain high-quality standards across all data engineering activities
Engage in cross-functional collaboration bridging the gap between backend data systems and frontend reporting tools ensuring seamless integration and optimal performance