Job Title: Operations DataDev Specialist/Data Engineer (Video QC & Metadata)
Location: Austin, TX/Elk Grove, CA
Hybrid Schedule – 3 days in office, 2 days WFH Candidates in Austin, preferably, but also will consider candidates in Elk Grove
Duration: 1 year contract
Develop dashboards, data pipelines/ETL jobs, and reporting to analyze and present data related to video contents, asset reviews, metadata curations, and operational supports.
Closely partner with the internal teams within the AMP Video QC & Metadata Operations organization to dene metrics, KPIs, and automation strategy while meeting the teams data and reporting needs.
Automate and optimize existing data processing workloads by recognizing complex data structures and technology usage patterns and implementing solutions.
Focus on scale and eciency build and implement innovative data solutions and establish best practices with a start-to-end workow in mind.
Working knowledge of Kubernetes, AWS, or CI/CD development (e.g., Airow, Jenkins)
Excellent interpersonal and communication skills
Strong experience and knowledge of data analytics with procient SQL (Oracle, Teradata, PostgreSQL, and SparkSQL)
Experience in building robust and scalable data pipelines and ETL jobs
Experience or working knowledge with Big Data technologies such as Hadoop, Hive, HDFS, Parquet, PySpark, and Spark desired
Experience in a typical Big Data programming language such as Python, Scala, or similar languages
Experience in querying data through API (RESTful or GraphQL), using JSON,
ProtocolBuers, or XML desired; if with API development experience a plus
Exposure or interest in the UX/UI frontend development (e.g., React, Typescript) or Machine Learning (e.g., Scikit-Learn, Tensor Flow) a plus
An independent learner, insatiably curious, and a creative thinker
Ability to work both independently and within a team environment
Passion for movies, television, sports, fitness, or other video content
Education & Experience
Bachelor or Master's degree in a related eld, such as Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Business Administration, or meaningful industry experience preferred
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