Data Engineer

aKube Inc

Culver City, CA, United States

3 months ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Compensation

$128,960.0

Working hours

Regular working hours

Job source

dice.com

Tech stack

Adaptable Database Systems Agile Methodology Airflow Data Analysis Big Data BigQuery Continuous Integration Data Architecture Information Engineering Data Governance Database Testing Python (Programming Language)

+9 more

Cloud Services Data Streaming Cloud Platform System Sql Optimization Snowflake Build Management Video Streaming Software Version Control Data Pipelines

Job description

Python
Snowflake or BigQuery or Redshift
dbt
Airflow
Cloud data platforms
Data modeling
CI/CD and version control, * 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.

Requirements

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: