Senior Data Engineer - 1587

Onsite/ Hybrid/ Remote: <\/b><\/span> Hybrid (4 days a week Onsite)
<\/div>

Duration: <\/span><\/b>12 Months
<\/div>

Rate Range: <\/span><\/b> Upto $62/hr on W2
<\/div>

Work Authorization: <\/b><\/span> GC, USC, All valid EADs except H1B, OPT, CPT
<\/div>

Must Have: <\/b>
<\/p>

• SQL
  <\/span><\/li>
• Python
  <\/span><\/li>
• Snowflake or BigQuery or Redshift
  <\/span><\/li>
• dbt
  <\/span><\/li>
• Airflow
  <\/span><\/li>
• Cloud data platforms
  <\/span><\/li>
• Data modeling
  <\/span><\/li>
• CI/CD and version control
  <\/span><\/li><\/ul>

  Responsibilities: <\/b>
  <\/p>

  • Design and build scalable data pipelines for streaming video analytics.
    <\/span><\/li>
  • Develop analytics -ready datasets to support data science, BI, and strategy teams.
    <\/span><\/li>
  • Translate business requirements into robust data architecture and engineering solutions.
    <\/span><\/li>
  • Assess source data quality and implement controls to ensure accuracy and reliability.
    <\/span><\/li>
  • Build and maintain transformation workflows using dbt and orchestration using Airflow.
    <\/span><\/li>
  • Partner with Product, Data Science, and Visualization teams to harmonize data from multiple systems.
    <\/span><\/li>
  • Implement data governance standards across accuracy, integrity, and security.
    <\/span><\/li>
  • Support roadmap initiatives for AVOD, FAST, and streaming data products.
    <\/span><\/li><\/ul>

    Qualifications: <\/b>
    <\/p>

    • 7+ years of experience in data engineering or analytics engineering in production environments.
      <\/span><\/li>
    • Strong experience building and optimizing cloud -based data platforms.
      <\/span><\/li>
    • Advanced SQL and Python expertise.
      <\/span><\/li>
    • Experience designing scalable data models for large datasets.
      <\/span><\/li>
    • Experience working in agile environments supporting cross -functional stakeholders.
      <\/span><\/li>
    • Background supporting streaming, digital media, or advertising analytics environments preferred.
      <\/span><\/li><\/ul>

      Nice to Have: <\/b>
      <\/p>

      • AVOD, FAST, or SVOD domain experience.
        <\/span><\/li>
      • Experience with video analytics or ad tech data.
        <\/span><\/li>
      • Experience supporting self -service BI tools.
        <\/span><\/li>
      • Experience with automated data testing frameworks.
        <\/span><\/li><\/ul>

        
        <\/div><\/span>