Data Engineer
Description: As a Senior Analytics Engineer at The Walt Disney Studios, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you& #39;re passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization. You will: Architect and design data products using foundational data sets. Develop and maintain code for data products. Consult with business stakeholders on data strategy and current data assets. Provide specifications for data ingestion and transformation. Document and instruct others on using data products for automation and decision-making. Build data pipelines to automate the creation and deployment of knowledge from models. Monitor and improve statistical and machine learning models in data products. Work with data scientists to implement methodologies for marketing problem-solving. Coordinate with other science and technology teams.Required Education ● Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent work experience. Must be okay working 4 onsite per week. Expert level on SQL-definitely must have Snowflake nice to have AWS is nice to have -4 plus years experience on SQL< br >Preferred Qualifications:Required Education<br>● Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent<br>work experience.<br>● Master’s Degree is a plus.< br >Basic Qualifications: Bachelor& #39;s degree in Computer Science, Information Systems, Software Engineering, or<br>related field.<br> 5+ years of experience in analytics engineering and technology.<br> Demonstrated academic achievement in statistics and probability.<br> Proficiency in Python and SQL.<br> Strong problem-solving, decision-making, and critical thinking skills.<br> Outstanding interpersonal skills and ability to manage multiple priorities.<br> Strong written and verbal communication skills.<br> Ability to work independently and collaboratively in a diverse environment.<br>Project management and business analysis skills preferred Education: STEM Bachelor's Degree
Marketing, Analytics, Design, Automation, Engineering, Communication Skills, Optimization, SQL, Stakeholders, Python, Specification, Business Analysis, Interpersonal Skills, Methodology, Statistics, Proficiency, Computer Sciences, Deployments, R Code, Onsite, Decision-Making, AWS Technologies, Innovation, Software Engineering, Prepare Datasets
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- Glendale, CA
- onsite
- Temporary
-
65.00 - 95.00 USD / Hourly
- Description: As a Senior Analytics Engineer at The Walt Disney Studios, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you& #39;re passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization. You will: Architect and design data products using foundational data sets. Develop and maintain code for data products. Consult with business stakeholders on data strategy and current data assets. Provide specifications for data ingestion and transformation. Document and instruct others on using data products for automation and decision-making. Build data pipelines to automate the creation and deployment of knowledge from models. Monitor and improve statistical and machine learning models in data products. Work with data scientists to implement methodologies for marketing problem-solving. Coordinate with other science and technology teams.Required Education ● Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent work experience. Must be okay working 4 onsite per week. Expert level on SQL-definitely must have Snowflake nice to have AWS is nice to have -4 plus years experience on SQL< br >Preferred Qualifications:Required Education<br>● Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent<br>work experience.<br>● Master’s Degree is a plus.< br >Basic Qualifications: Bachelor& #39;s degree in Computer Science, Information Systems, Software Engineering, or<br>related field.<br> 5+ years of experience in analytics engineering and technology.<br> Demonstrated academic achievement in statistics and probability.<br> Proficiency in Python and SQL.<br> Strong problem-solving, decision-making, and critical thinking skills.<br> Outstanding interpersonal skills and ability to manage multiple priorities.<br> Strong written and verbal communication skills.<br> Ability to work independently and collaboratively in a diverse environment.<br>Project management and business analysis skills preferred Education: STEM Bachelor's Degree
- 2025-10-29T19:08:43Z