Disney Remote Jobs Data Entry
Job Responsibilities: Lead Data Engineer
Salary: $20-30/Hour
Company: Disney
Location: Connecticut, USA
Educational Requirements: Bachelor’s Degree
About Company: The Walt Disney Company, commonly referred to as Disney, is an American international media and entertainment company headquartered in the Walt Disney Studios complex in Burbank, California.
Full Job Description :
Our information and Analytics crew for Disney Streaming offerings (DSS), a section under the Disney enjoyment & ESPN era (DE&ET) is searching out a Lead facts Engineer. Facts is important for all our decision-making needs whether it’s related to product design, measuring advertising and marketing effectiveness, assisting customers discover new content material or constructing new agencies in rising markets. This facts is deeply valuable and gives us insights into how we can preserve improving our service for our customers, advertisers and our content companions. Our Engagement and Retention information Engineering crew is searching for a fantastically stimulated records Engineer with a robust technical heritage and captivated with diving deeper into huge statistics to increase kingdom of the art data solutions.
What you will Do
- Make a contribution to the layout and increase of our information products and records Warehouses round Engagement and Retention Analytics and facts science
- Layout and broaden scalable statistics warehousing answers, constructing ETL pipelines in large facts environments (cloud, on-prem, hybrid)
- Our tech stack includes Hadoop, AWS, Snowflake, Spark and Airflow and languages consist of Python, Scala
- Assist architect facts solutions/frameworks and outline facts fashions for the underlying records warehouse and records marts
- Collaborate with records Product Managers, facts Architects and facts Engineers to design, put into effect, and supply a hit facts answers
- Keep certain documentation of your work and adjustments to guide data exceptional and facts governance
- Make certain high operational efficiency and first-rate of your solutions to meet SLAs and aid commitment to our clients (information technology, facts Analytics groups)
- Be an energetic player and advise of agile/scrum exercise to ensure health and manner upgrades to your group
Key qualifications
- At least 2 years of statistics engineering enjoy growing massive facts pipelines
- Strong sq. Abilties and potential to create queries to extract data and build performant datasets
- Palms-on experience with allotted systems which include Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and system information
- Robust programming capabilities in Python
- Experience with as a minimum one predominant MPP or cloud database generation (Snowflake, Redshift, massive query)
- Strong experience with data integration toolsets (i.E Airflow) and writing and preserving records Pipelines
- Sturdy in information Modeling techniques and statistics Warehousing fashionable methodologies and practices
- Familiar with Scrum and Agile methodologies
- You’re a trouble solver with sturdy attention to element and tremendous analytical and conversation skills
- Exceptional to have experience with Cloud technology like AWS (S3, EMR, EC2)
Required schooling
Bachelor’s or master’s degree in laptop technological know-how, statistics structures or associated subject
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