Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
San Francisco, CA, United States
Posted
18 hours ago
SQLScalaAWSETLApacheApache SparkGoogle CloudHadoopHiveJavaKafkaPython
Job Description
Role: Data Engineer
Location: Bay Area, CA
Why Join Us?
- Work with a leading technology organization in the digital and data-driven industry.
- Gain hands-on experience building and optimizing modern data solutions.
- Collaborate with experienced engineers, analysts, and cross-functional teams.
- Work on high-impact data engineering initiatives in a fast-paced environment.
- Opportunity to strengthen your skills across data pipelines, cloud technologies, and analytics.
About the Role
The AES Group INC looking for a skilled Data Engineer to join our team for a high-impact, long-term project spanning over a year. In this role, you will build, optimize, and maintain robust data pipelines that process massive volumes of web and advertising traffic. If you love handling large-scale data systems and building infrastructure that scales, we want to talk to you!
Key Responsibilities
- Data Pipelines: Design, scale, and maintain reliable ETL/ELT data pipelines.
- Stream & Batch Processing: Process large-scale real-time and batch streaming datasets.
- Storage Architecture: Optimize data warehouse storage, partitioning, and query performance.
- Collaboration: Partner with Data Scientists and Product teams to deliver clean, structured data environments.
What We Are Looking For
- Core Tech: Strong programming skills in Python or Java/Scala, alongside advanced SQL expertise.
- Big Data Infrastructure: Deep, hands-on experience with tools like Apache Spark, Hadoop, Hive, or Kafka.
- Cloud Architecture: Proficiency with public cloud platforms (such as AWS or Google Cloud Platform).
- Data Modeling: Solid understanding of data warehousing concepts, schema designs, and data lakes.
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