Data Engineer

4 days ago

Austin, United States eTeam Inc Full time

Summary

Client Media Products (AMP) Video QC & Metadata Operations teams are looking for a highly motivated and dedicated DataDev Specialist to support AMP Video QC & Compliance and UMC (Universal Media Content) Metadata teams’ data and analytics needs.

In this role, a primary focus is on Client’s growing Video Operations through content-centric data analytics that provides insights into operational effectiveness, efficiencies, and excellence.


Key Qualifications

• Excellent interpersonal and communication skills

• Strong experience and knowledge of data analytics with proficient SQL (Oracle, Teradata, PostgreSQL, and SparkSQL)

• Experience in Data visualization tools (Tableau or Splunk), if added languages (Javascript, Python) or libraries (e.g., D3, Graphene) a plus

• 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, ProtocolBuffers, or XML desired; if with API development experience a plus

• Working knowledge of Kubernetes, AWS, or CI/CD development (e.g., Airflow, Jenkins) 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


Description

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 define 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 efficiency — build and implement innovative data solutions and establish best practices with a start-to-end workflow in mind.


Education & Experience

Bachelor or Master's degree in a related field, such as Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Business Administration, or meaningful industry experience preferred

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