Senior Data Engineer: Spark, Python, Marketing Data

Madrivo; United States; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Job summary

A leading marketing and advertising company is seeking a Senior Data Engineer to enhance their data architecture. The ideal candidate should have over 5 years of experience in data engineering, proficient in Spark and Python, and familiar with multi-channel marketing. Responsibilities include creating data pipelines and optimizing data storage. This full-time role offers benefits such as medical insurance and 401(k).

Qualifications

• 5+ years of experience in high scale data engineering.
• Deep knowledge of Spark and Python.
• Experience in digital marketing and advertising industries is essential.

Responsibilities

• Contribute to data ingestion and pipelines to form a large data lake.
• Optimize the company’s data assets to answer various business questions.
• Understand how to store and organize data for optimal cost/value balance.

Skills

Understanding of multi-channel marketing

Spark

Python

Attention to detail

Problem-solving skills

Tools

AWS

ETL frameworks

ML libraries

Job description

A leading marketing and advertising company is seeking a Senior Data Engineer to enhance their data architecture. The ideal candidate should have over 5 years of experience in data engineering, proficient in Spark and Python, and familiar with multi-channel marketing. Responsibilities include creating data pipelines and optimizing data storage. This full-time role offers benefits such as medical insurance and 401(k).