Senior Data Backend Engineer - Spark, AWS & Kafka

Artifintech

Sunnyvale (CA)

Remote

USD 140,000 - 190,000

Full time

24 hours ago
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Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a Back-End Engineer with a strong data engineering background to design, develop, and maintain scalable data pipelines and back-end systems. You will work with large datasets, leverage cloud technologies, and collaborate with data scientists to deliver data-driven solutions.

You will design data pipelines using Spark, Python, Scala, and Java, write optimized SQL for ETL, and work with DataFrames.

Qualifications

  • Bachelor’s degree or equivalent experience.
  • 5+ years of experience in back-end development with a focus on data engineering.

Responsibilities

  • Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java.
  • Write efficient and optimized SQL queries for ETL processes.
  • Work with DataFrames to manipulate and analyze large datasets.
  • Implement data storage and processing solutions using cloud technologies (AWS or GCP).
  • Build and maintain real-time data streaming pipelines using MSK/Kafka.
  • Utilize S3 for data storage and retrieval.
  • Work with Iceberg and data lake technologies.
  • Ensure data quality, integrity, and security.
  • Collaborate with data scientists and other engineers to understand data requirements and deliver solutions.
  • Participate in code reviews and improve development processes.
  • Troubleshoot and resolve issues in data pipelines and back-end systems.

Skills

Spark
Python
Scala
Java
SQL
DataFrames
Cloud AWS/GCP
Kafka
S3
Iceberg
Data warehousing
Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

MSK

Job description

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a Back-End Engineer with a strong data engineering background to design, develop, and maintain scalable data pipelines and back-end systems. You will work with large datasets, leverage cloud technologies, and collaborate with data scientists to deliver data-driven solutions.

You will design data pipelines using Spark, Python, Scala, and Java, write optimized SQL for ETL, and work with DataFrames.

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