Data Engineer IV

SGS_JOB_2357

Engineering
 California
SQL
Pythom
ETL
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Contract - 06 Months

Location (mandatory): Menlo Park, CA. We are seeking an experienced Data Engineer to join our Sales Data Engineering team within the Monetization division. In this role, you will design and develop scalable data pipelines and architectures that support the sales organization working with advertisers. You will collaborate cross-functionally to deliver end-to-end data solutions, build key metrics, and create dashboard insights critical for business performance in Q4 and Q1. This position offers the opportunity to work at the intersection of data engineering and business impact, providing actionable insights that directly influence revenue and strategic decision-making. Minimum Requirements: • Bachelor's degree in Computer Science or related field • 5+ years of experience as a Data Engineer • Strong knowledge of SQL and programming languages such as Python or Java • Experience with big data technologies such as Hadoop, Spark, or Kafka • Knowledge of data modeling and database design principles • Experience with cloud-based data platforms such as AWS. • Excellent problem-solving skills and attention to detail

Job Responsibilities:

  • Design and develop scalable data pipelines and architectures
  • Work with cross-functional teams to identify and prioritize data requirements
  • Develop and maintain data processing and analytics applications
  • Ensure data quality and integrity through testing and validation
  • Collaborate with data scientists and analysts to support data-driven decision making

Skills:

  • Data modeling and pipelining experience
  • SQL and Python
  • Data visualization, Tableau and unidash
  • Machine learning and AI workstreams

Education/Experience:

  • Years of overall experience required – 05 Years
  • Degrees/certifications required? - Bachelor's degree in Computer Science or related field  

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