Job description

As a team member of the ASE Analytics & Data Engineering team, you will have significant responsibility and influence in shaping the team’s future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle. This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems. Bachelor’s or Master’s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience 6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms. Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes and Airflow. Proven track record of designing, launching, and scaling production-quality data pipelines that power product features Strong data intuition, backed by solid SQL and data analysis skills Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively

Requirements

Must-haves

Bachelor’s or Master’s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience
6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms.
Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka
Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes and Airflow.
Proven track record of designing, launching, and scaling production-quality data pipelines that power product features
Strong data intuition, backed by solid SQL and data analysis skills
Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly
Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javakubernetessql

Platform: apple
Effort: medium