Description

You will manage big data workloads using distributed processing systems.

4+ years of professional experience in data engineering. Deep expertise with Spark for distributed processing. Experience managing big data workloads. Ability to optimize analytic queries. Graduate degree in a relevant field or equivalent experience. Strong understanding of distributed computing principles.

Responsibilities

• Execute large-scale data processing tasks using Spark.
• Optimize query execution for fast analytic results.
• Utilize in-memory caching to handle data of any size.
• Deliver results within large-scale organizational settings.

Required Skills

• 5+ years of professional experience in data engineering.
• Deep expertise with Spark for distributed processing.
• Experience managing big data workloads.
• Ability to optimize analytic queries.
• Graduate degree in a relevant field or equivalent experience.
• Strong understanding of distributed computing principles.

Key Skills

Education

Any Graduate