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Lead Data Engineer - Disney Data Entry Jobs

Worldwide Salaried Open
Lead Data Engineer - Disney Data Entry Jobs

Join a dynamic team of innovators and problem-solvers at Disney, where data drives success. We're seeking a highly skilled Lead Data Engineer to join our Information and Investigation group for Disney Web-based features (DSS). This role offers a competitive salary of $24/hour and the opportunity to work remotely.

Job Details:

  • Hiring Organization: Disney
  • Post Name: Lead Data Engineer
  • Qualifications: Bachelor's Degree
  • Industry: Private
  • Employment Type: Full Time
  • Work Hours: 8 Hours
  • Salary: $24/Hour
  • Locations: San Francisco, USA

Job Description:

We're looking for a highly motivated and experienced Lead Data Engineer to join our team. As a Lead Data Engineer, you will be responsible for designing and developing advanced data solutions, collaborating with cross-functional teams, and ensuring high-quality data management.

Key Responsibilities:

  • Design and develop data items and data warehouses around commitment and maintenance examination and information science
  • Plan and develop versatile information warehousing arrangements, building ETL pipelines in Large Information conditions (cloud, on-prem, crossover)
  • Help engineer data arrangements/structures and define data models for the basic information distribution center and information shops
  • Collaborate with Information Item Chiefs, Information Modelers and Information Architects to design, implement, and deliver successful data arrangements
  • Maintain detailed documentation of your work and changes to ensure data quality and data administration
  • Ensure high operational productivity and quality of your solutions to meet SLAs and support obligation to our clients (Information Science, Information Examination groups)
  • Be a proactive member and supporter of agile/scrum practice to ensure safety and cycle enhancements for your team

Key Capabilities:

  • Strong SQL skills and ability to write queries to extract data and build performant datasets
  • Experience with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process data
  • Strong programming skills in Python, Java/Scala
  • Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query)
  • Strong involvement in data integration toolsets (i.e Wind current) and writing and maintaining Information Pipelines
  • Strong in Data Modeling strategies and Information Warehousing standard systems and practices
  • Experienced with Scrum and Agile approaches
  • You are a problem solver with strong attention to detail and excellent logical and relational skills
  • Ideal to have experience with Cloud advances like AWS (S3, EMR, EC2)

We encourage you to apply, even if you feel you're not a perfect match. We're looking for great people to join our friendly team.

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