Summer Intern - Data Engineering
ViacomCBS
New York, NYThis was removed by the employer on 1/2/2022 6:00:00 AM PST
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Full Time Unpaid Internship
Data Engineering Internships - Summer 2022 (Multiple Locations)
In the ViacomCBS Summer Internship Program, interns will be working in a vibrant and inclusive environment alongside employees from different backgrounds. Through our in-depth offerings, interns gain exposure across our business while making significant connections for their future and accessing exciting career opportunities. In addition to hands-on experience our programs include networking, mentorship, resume workshops, speaker sessions, career development, visibility to top industry executives, and much more.
Our summer internship opportunities include (but are not limited to) the below. Interested candidates should submit their application no later than Friday, December 31st. If you're selected for an interview, you'll be notified by a member of the recruiting team.
Please note: for Technical roles, we may consider candidates who are rising Sophomores, attend an accredited college and/or have completed a technical bootcamp.
Key Responsibilities (including, but not limited to):
• The Data Engineer Intern should possess a deep sense of curiosity and a passion for building smarter products based on data, and the ability to communicate data structures and tools throughout the Digital Media organization.
• Help support data pipeline development, which includes machine-learning algorithms using disparate data sources.
• Extract patterns from large datasets and transform data into an informational advantage.
• Collaborate with the internal product and business intelligence teams to resolve the best approach around data ingestion, structure and storage, then working with the team to ensure accurate implementation.
• Ability to break down and communicate highly complex data problems into simple, feasible solutions.
Qualifications:
• Experience with tools such as: Python, SQL, Advanced SQL, git, Apache Airflow, Django Chart.js, D3.js BigQuery, dbt.
• Experience with data management systems, both relational and NoSQL (e.g., HBase, Cassandra, MongoDB).
• Experience with exploratory data analysis using tools like iPython Notebook, Pandas & matplotlib, etc.
• Strong problem-solving and creative-thinking skills.
• Experience with developing data pipelines.
• Experience with Google Cloud, Microservices Ex, Grafan, Jira, Confluence is a plus.