Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Spectraforce

Software Engineer Batch Processing Platform

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Job Description

Software Engineer - Batch Processing Platform Duration 12 months Location - San Francisco California 94107 Batch Processing Platform Team The Batch Processing Platform team is responsible for building and maintaining end-to-end big data infrastructure, data warehousing, and business intelligence solutions that power the company's business operations. The team manages critical data infrastructure, including log ingestion, batch and stream processing, big data query engines, and workflow systems. It also develops and maintains data processing and ETL pipelines that support data warehousing and business intelligence. What You'll Do Build and maintain infrastructure platforms and data processing pipelines that support critical business needs. Work with cutting-edge big data technologies, including Hadoop, Spark, Airflow, Presto, and Trino. Contribute to large-scale data processing and infrastructure solutions capable of handling hundreds of petabytes of data. Support data warehousing, business intelligence, and other data-driven business initiatives.
Skills and Qualifications What We're Looking For Industry Experience:
2+ years of experience in big data infrastructure or data warehouse engineering.
Programming Skills:
Strong experience in at least one programming language, such as Java, Scala, or Python.
Big Data Technologies:
Hands-on experience with big data infrastructure and processing technologies, such as Hadoop, Spark, Airflow, Presto, or Trino.
Data Processing:
Experience using big data technologies for large-scale data processing and ETL pipelines.
Communication Skills:
Good verbal and written communication skills. Data at
Scale:
A passion for working with data at hundreds of petabytes scale.
AI Tools:
Understanding of how to use AI tools effectively.
Research and Publications:
Publications at technical conferences are a plus. Education Bachelor's degree in Computer Science or a related field, or equivalent practical experience.