Senior Big Data Engineer — Platform & Insights

TP-Link Systems Inc.; Irvine (CA); In loco; USD 150.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Free snacks and lunch on Fridays

Fully paid medical, dental, and vision

401k contributions

Bi-annual reviews and pay raises

Health and wellness benefits

Team-building events

Descrizione del lavoro

TP-Link Systems Inc. is seeking a Big Data Platform Engineer to develop and maintain a data platform supporting large-scale analytics. You will collaborate with cross-functional teams to deliver actionable insights and ensure platform stability and security.

The role requires strong knowledge of Hadoop, Flink, Spark, Hive, HBase, and Airflow, plus Python and Linux skills. AWS EMR experience is a plus in our global organization.

Competenze

• Bachelor's degree in Computer Science or related field with 3+ years of Big Data platform experience.
• Strong knowledge of Hadoop, Flink, Spark, Hive, HBase, and Airflow; expert in Big Data development and optimization.
• Experience with Big Data OLAP tools and data warehouse design is a plus.

Mansioni

• Develop and maintain the Big Data Platform with data cleansing, modeling, and reporting.
• Manage deployment, scheduling, monitoring, and security of the platform.
• Handle data collection, ETL, de-identification, and data security tasks.
• Support other departments by processing data, writing queries, and generating reports.
• Troubleshoot issues, diagnose faults, and optimize system performance.

Conoscenze

Hadoop

Flink

Spark

Hive

HBase

Airflow

Python

Linux

Communication

Formazione

Bachelor's degree or higher in Computer Science or related field

Strumenti

AWS EMR

Java

Scala

Descrizione del lavoro

TP-Link Systems Inc. is seeking a Big Data Platform Engineer to develop and maintain a data platform supporting large-scale analytics. You will collaborate with cross-functional teams to deliver actionable insights and ensure platform stability and security.

The role requires strong knowledge of Hadoop, Flink, Spark, Hive, HBase, and Airflow, plus Python and Linux skills. AWS EMR experience is a plus in our global organization.