Remote Jobs Disney, Disney Hiring Remote Data Entry @Full Time ( Data Products and Platforms )
Company Name: Disney
Post Name: Data Products and Platforms
Industry: Private
Employment Type: Full Time
Work Hours: 8 Hours
Salary: $20-30/hour
Location: Florida, USA
Remote Jobs Disney, Disney Hiring Remote Data Entry @Full Time ( Data Products and Platforms )
Full Description:
The statistics products and structures corporation at Disney Parks, experiences, and products (DPEP) has end-to-end obligation for building, enhancing, and retaining the information, analytics, BI and system studying atmosphere utilized by a large network of users (analysts, statistics scientists, era companions, commercial enterprise/operations teams, and so on.) within DPEP and across The Walt Disney enterprise (TWDC).
The Director, generation – information systems could be responsible for each the improvement and operations of the next era information platform and toolsets. This exceptionally technical position will require crucial questioning and business acumen to make selections that align to the strategic goals of the organisation, navigating an environment with ambiguity and minimal direction. This function is predicted to pressure a facts platform vision, main a crew of managers, architects, engineers and product managers with a span of impact throughout the portfolio.
Remote Jobs Disney
Obligations:
- Lead the layout, improvement and implementation of facts and analytics solutions in assist of the DPEP records method and roadmap, leveraging cloud-native technology, with a purpose to permit records and insights self-service and agile information management throughout the segment
- Oversee the daily operation of the platform, ensuring high availability, scalability and overall performance and a statistics-driven approach to continuous measurement and optimization
- Work carefully with move-useful groups, which include data engineers, statistics scientists, analysts and business stakeholders to make sure the platform and gear meet their requirements
- Behavior market research and evaluation of COTS products within the large information atmosphere, and foster key industry and academic partnerships, to continuously evolve the data platform architecture to guide the growing desires of the commercial enterprise
- Prototype new technologies and put into effect innovative answers that permit teams to eat and apprehend records faster, inclusive of best in elegance BI tooling
- Pioneer technical answers that increase information security, privacy, and get entry to governance
- Architect extensible technical architectures to deliver the modern day in device gaining knowledge of, AI, and different rising era solutions
Required qualifications:
- BS/MS diploma in pc technological know-how, Engineering, Math, records, or associated fields
- 10 years of applicable enjoy in facts Engineering and records structures
- Advanced knowledge of statistics structure, facts Warehousing, superior Analytics, and information technological know-how implementations, along with the present day research and enterprise tendencies
- Enjoy throughout information Warehouse structures along with Snowflake and BigQuery, with professional stage expertise within the Snowflake Platform
- Expertise with records Lakehouse architectures and formats/requirements, consisting of Parquet and Iceberg
- Experience designing automatic, distinctly to be had ETL/ELT large information pipelines at scale, leveraging technology such as Kinesis, Kafka and Google Pub/Sub
- Experience with information transformation leveraging tooling, especially DBT
- Revel in with orchestration tools like Airflow
- Enjoy with query Federation answers like Starburst Presto
- Understanding of records nice practice and tooling consisting of SODA, Datadog, Anomalo
- Familiarity with information security and privacy guidelines, including tooling such as Privacera and Apache Ranger
- Revel in with company information Governance practice, and equipment, particularly Alation
- Enjoy with BI (commercial enterprise Intelligence) consumption equipment like Tableau, business gadgets, SAS, and MicroStrategy
- Professional expertise of large facts architecture for AI/ML integration styles
- Experience growing and deploying ML solutions at scale
- Deep experience with information technology equipment such as SageMaker, Jupyter Notebooks, StreamLit, Dataiku
- Understanding of MLOps exercise and tooling, consisting of feature cache and model management, inclusive of SageMaker, mlflow, Google Colab, Google information Studio, and so on.
- Understanding of tendencies and equipment in records and ML model control
- Knowledge of trends and equipment in ML observability
- Comfy with each technical and business responsibilities, you may be operating with engineers, statistics scientists, operations managers, and commercial enterprise masterminds to build merchandise and solve complicated issues
- Brilliant verbal and written communique. Compelling storytelling and presentation talents.
- A group participant with vision, passion, subject, and integrity
- Tested inclusive leadership that embraces diversity; ability to develop geographically and in any other case various exceptionally technical teams
- Proven ability to efficiently function in a extraordinarily matrix organizational device wherein partnership and impact are key drivers of success
- Ability to paintings unexpectedly and effectively in a quick paced and converting environment
Disney Hiring Remote Data Entry @Full Time ( Data Products and Platforms )
Desired qualifications:
- Master’s degree in laptop science, statistics, machine studying, mathematics, or related quantitative subject
- Established leadership inside a complex employer holding a high-profile worldwide emblem
Some Important Points to Know Before Applying To Company
- Company culture: Make sure to research the company’s culture before applying. Look for reviews from current and former employees, and check out the company’s social media pages to get a sense of their values and work environment.
- Job requirements: Make sure you meet the qualifications listed in the job description before applying. If you’re not sure, reach out to the hiring manager or recruiter to ask for clarification.
- Company values: Look for a company whose values align with your own. This will make you more motivated and engaged in your work, and will help you feel like you’re making a meaningful contribution.
- Compensation and benefits: Make sure you’re clear on the salary range and benefits package being offered. Consider factors like health insurance, retirement savings plans, and paid time off when evaluating the offer.
- Growth opportunities: Look for a company that offers opportunities for professional development and career advancement. Ask about training programs, mentoring, and opportunities to take on new responsibilities or roles.
- Reputation: Research the company’s reputation in the industry and among its customers. Look for news articles or reviews that may give you insight into how the company is perceived.
- Work-life balance: Consider the company’s approach to work-life balance. Do they offer flexible schedules or remote work options? Is there an expectation of working long hours or being constantly available?
- Diversity and inclusion: Look for a company that values diversity and inclusion. Check out their diversity statistics and see if they have any initiatives or programs aimed at creating a more inclusive workplace.
- Company performance: Look at the company’s financial performance and growth trajectory. Consider factors like revenue, profitability, and stock performance when evaluating the company’s prospects for long-term success.
- Interview preparation: Prepare thoroughly for the interview process. Research the company, review your resume and cover letter, and practice your answers to common interview questions. Be prepared to ask thoughtful questions about the company and the role.
