Data Engineer
About Us: Discovery's Digital group is a well-funded start-up within Discovery, Inc. We are fast, nimble, and have fun developing new, innovative, and immersive digital products and content for iconic brands. We are working at the crossroads of technology, entertainment, and every day utility. As content creators across the digital ecosystem, we continuously leverage our technology to create immersive viewing and interactive experiences. We tell engaging stories to millions of viewers across the Internet every day and bring new interactive experiences to life to not only entertain but improve the lives of our customers. Most recently, our group is behind the launch of discovery+, Discovery’s global streaming service, serving as the definitive destination for real life entertainment with the largest ever content offering at launch, debuting in the U.S. on January 4, 2021.
Job Summary: Are you excited by the challenges of building up big data infrastructure and results-oriented and providing data solutions to resolve complex data-related problems? We are looking for a talented Data Engineer to join the Data and Analytics team. You will design and own the DDSA data infrastructure and build up robust pipelines. You will have an opportunity to improve efficiency and data quality. You will interface with other technology teams to extract, transform, and load data from a wide variety of data sources using big data technology.
A successful candidate will have deep knowledge of business intelligence solutions, big data technology, and have the ability to work with various customers to drive and implement data solutions. They will have a passion for data, be a self-starter, comfortable with ambiguity, strong attention to detail. In this role, you will be able to apply your technical skills in developing Data recommendation infrastructure, large databases, recommendation tools, and systems to impact the business.
Responsibilities
Contribute to the architecture, design, and implementation of next-generation Data solutions – including streaming data applications
Manage AWS resources including Glue, EMR, Kinesis, Lambda etc.
Collaborate with data scientists, BIEs, and BAs to deliver high-quality data architecture and pipelines.
Interface with other technology teams to extract, transform and load data from a wide variety of data sources
Continually improve ongoing processes and pipelines, automating or simplifying self-service support for customers
Requirements
Bachelor's Degree or higher in Computer Sciences or similar
Minimum 2 years of Software Industry experience
2+ years of development experience with AWS services Must have EMR or Glue, Data Pipeline or Airflow, S3, Jenkins or other CI/CD
2+ years of extensive working knowledge in spark (pyspark or scala).
1+ years of development experience with realtime data streams Kafka/Kinesis
Proficiency working with structured, semi-structured, and unstructured data sets and real-time streaming data feeds
Fluency in SQL, Python, or a similar modeling language.
Experience with data warehousing databases Redshift, Oracle, and techniques is preferred
Expert level usage with Jenkins, GitHub is preferred
Experience in the media industry is a plus
Must have the legal right to work in the United States
Discovery Communications, Inc. is an equal opportunity employer. Discovery is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including but not limited to all local Fair Chance Ordinances.
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