Spark Engineer

What You'll Bring:

• Bachelor’s degree in computer science or a related field.

• 5+ years of experience related to development, validation and support of enterprise data

processing software products.

• 2+ years of experience providing direct support to external customers.

• 2+ years of experience supporting Apache Spark pipelines for data engineering, analytics.

Proficient in running Spark jobs from various clients, Spark resource provisioning, Spark

parameter configuration and tuning, using Spark History Server and Spark UI, analyzing

Spark event logs and other Spark logs .

• Solid knowledge of SQL and Python.

• Proficient in testing data products and test automation.

• Good understanding of the deployment, and operations of data processing products and

pipelines in the cloud – in SaaS, VM-based, container-based, and serverless scenarios.

Experience with GCP, AWS, and their Apache Spark related offerings preferred.

• Good customer engagement and communication skills.

Location Considerations:

Work location of Mountain View, CA is preferred for US candidates – this is our US

headquarters and where most of the US team is located. Work location of Hyderabad, IN or

Bangalore, IN is preferred for IN candidates. Remote is ok but not preferred.