Data Engineer with Spark Expertise

About

Lead data architecture initiatives as a Senior Data Engineer. Transform business needs into scalable data solutions while leveraging tools like Spark to enhance data insights and performance.

In this role, you will design and enhance data processing pipelines that support robust analytics. Your focus will be on optimizing data architecture and ensuring seamless integration for stakeholders through powerful dashboards. You will drive the evolution of data processes while promoting best practices in engineering.

Responsibilities

• Translate requirements into effective data architectures
• Build and maintain scalable analytics infrastructures
• Automate deployment and cloud management
• Partner with teams to deliver impactful insights
• Create dashboards that facilitate self-service data access

Requirements

• 4–7 years in data engineering and processing
• Proficient in Spark Dat Frames, PySpark, and SQL
• Experience with ETL processes and BI tools
• Familiarity with cloud services and Git
• Background in analytics and reporting solutions

Apply your technical skills to create data-rich environments that empower stakeholders and drive business success.