Senior Data Engineer
aKube
- Culver City, California, United States
- Culver City, California, United States
Über
Onsite/ Hybrid/ Remote: Hybrid (4 days a week Onsite)
Duration: 12 Months
Rate Range: Upto $62/hr on W2
Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT
Must Have
SQL
Python
Snowflake or BigQuery or Redshift
dbt
Airflow
Data modeling
CI/CD and version control
Responsibilities
Design and build scalable data pipelines for streaming video analytics.
Develop analytics-ready datasets to support data science, BI, and strategy teams.
Translate business requirements into robust data architecture and engineering solutions.
Assess source data quality and implement controls to ensure accuracy and reliability.
Build and maintain transformation workflows using dbt and orchestration using Airflow.
Partner with Product, Data Science, and Visualization teams to harmonize data from multiple systems.
Implement data governance standards across accuracy, integrity, and security.
Support roadmap initiatives for AVOD, FAST, and streaming data products.
Qualifications
7+ years of experience in data engineering or analytics engineering in production environments.
Strong experience building and optimizing cloud-based data platforms.
Advanced SQL and Python expertise.
Experience working in agile environments supporting cross-functional stakeholders.
Background supporting streaming, digital media, or advertising analytics environments preferred.
Nice to Have
AVOD, FAST, or SVOD domain experience.
Experience with video analytics or ad tech data.
Experience supporting self-service BI tools.
Experience with automated data testing frameworks.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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