What are the responsibilities and job description for the Senior Data Engineer- 1587 position at aKube Inc?
City: Culver City, CA
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
- Cloud data platforms
- 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 designing scalable data models for large datasets.
- 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.
Salary : $62