Overview
On Site
Full Time
Skills
Data Visualization
D3.js
Data wrangling
Big data
Frontend Development
Machine Learning (ML)
scikit-learn
TensorFlow
Data processing
Data structure
Data Science
Computer science
Business analytics
Business administration
IT service management
Data
Communication
Tableau
Python
Splunk
JavaScript
React.js
SQL
PostgreSQL
Oracle
Teradata
Statistics
Extract
transform
load
Pandas
PySpark
Scala
API
RESTful
GraphQL
JSON
ERS
XML
Apache Hadoop
Apache Hive
HDFS
Apache Parquet
Apache Spark
Kubernetes
Amazon Web Services
Continuous integration
Continuous delivery
Adobe AIR
Jenkins
User experience
UI
TypeScript
Creativity
Television
Video
Reporting
Meta-data management
Quality control
Operations
Metrics
KPI
Automation
Strategy
FOCUS
Mathematics
Apex
SAP BASIS
Law
Innovation
Collaboration
Training
Recruiting
Job Details
Job#: 2024726
Job Description:
Onsite Role- Austin TX 78727
Key Quali?cations
Excellent interpersonal and communication skills
Experience in Data Visualization (Tableau, Python required; Splunk a plus), if Javascript
and its libraries (e.g., D3, ReactJS, Next.JS) a plus
Strong experience and knowledge of data wrangling with pro?cient SQL (Trino,
Postgres, Oracle required; SparkSQL, Teradata a plus)
Experience using statistics to identify trends and anomalies in datasets using statistical techniques required.
Experience in building robust and scalable data pipelines and ETL jobs with Python, Pandas required; Pyspark and Scala (desired)
Experience in querying data through API (RESTful or GraphQL), using JSON, ProtocolBu?ers, or XML desired; if with API development experience a plus
Experience or working knowledge with Big Data technologies such as Hadoop, Hive, HDFS, Parquet, PySpark, and Spark desired
Working knowledge of Kubernetes, AWS, or CI/CD development (e.g., Air?ow, Jenkins)
a plus
Exposure or interest in the UX/UI frontend development (e.g., ReactJS, 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, ?tness, or other video content
Description
Develop interactive data visualizations, 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 de?ne 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 e?ciency - build and implement innovative data solutions and establish best practices with a start-to-end work?ow in mind.
Education & Experience
Bachelor or Masters degree in a related ?eld, such as Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Business Administration, or meaningful industry experience preferred
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Job Description:
Onsite Role- Austin TX 78727
Key Quali?cations
Excellent interpersonal and communication skills
Experience in Data Visualization (Tableau, Python required; Splunk a plus), if Javascript
and its libraries (e.g., D3, ReactJS, Next.JS) a plus
Strong experience and knowledge of data wrangling with pro?cient SQL (Trino,
Postgres, Oracle required; SparkSQL, Teradata a plus)
Experience using statistics to identify trends and anomalies in datasets using statistical techniques required.
Experience in building robust and scalable data pipelines and ETL jobs with Python, Pandas required; Pyspark and Scala (desired)
Experience in querying data through API (RESTful or GraphQL), using JSON, ProtocolBu?ers, or XML desired; if with API development experience a plus
Experience or working knowledge with Big Data technologies such as Hadoop, Hive, HDFS, Parquet, PySpark, and Spark desired
Working knowledge of Kubernetes, AWS, or CI/CD development (e.g., Air?ow, Jenkins)
a plus
Exposure or interest in the UX/UI frontend development (e.g., ReactJS, 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, ?tness, or other video content
Description
Develop interactive data visualizations, 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 de?ne 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 e?ciency - build and implement innovative data solutions and establish best practices with a start-to-end work?ow in mind.
Education & Experience
Bachelor or Masters degree in a related ?eld, such as Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Business Administration, or meaningful industry experience preferred
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.