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Tavant Linkedin · Posted 24d ago

Senior Data Engineer

Glendale, California, United States

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Indexed description

Full time position

Hybrid role

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The Sr. Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring various KPIs & metrics. Collaborating across disciplines, they will identify internal / external data sources, design table structures, define ETL strategy & implement automated Data Quality checks.


Basic Qualifications

  • 8+ years of relevant data engineering experience.
  • Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
  • Good understanding of SQL Engines and able to conduct advanced performance tuning.
  • Ability to think strategically, analyze and interpret market and consumer information.
  • Strong communication skills – written and verbal presentations.
  • Excellent conceptual and analytical reasoning competencies.
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Familiarity with Agile Scrum principles and ceremonies


Preferred Qualifications:

  • Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
  • Strong analytical and problem-solving skills.
  • Effective communication and teamwork abilities.


Must have skills:

  • Data Engineering skills using -
  • Complex or Advanced SQL queries
  • Python
  • Spark
  • Snowflake
  • Databricks
  • Airflow or Prefect
  • Experience with at least one cloud platform (AWS / Azure / GCP)


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