Data Engineer Internship

Internship overview

Responsibilities

• Design, implement, and automate deployment of distributed systems for collecting and processing log events from multiple sources.
• Design data schemas and operate internal data warehouses and SQL or NoSQL database systems.
• Develop and maintain metrics, reports, analyses, and dashboards to inform business decisions.
• Monitor and troubleshoot data pipeline issues; investigate root causes and resolve defects.
• Plan and implement future data storage, reporting, and analytics solutions.
• Collaborate with Business Analysts, Data Scientists, and internal partners to identify opportunities and problems.

Basic qualifications

• Currently enrolled in a bachelor's or master's program in computer engineering, computer science, or a similar technical field.
• Advanced knowledge of and/or experience using SQL; experience querying or modelling data with SQL and Excel.
• Experience with a scripting language such as Python, Java, or R.
• Knowledge of BI analytics, reporting, or visualization tools such as Tableau, AWS QuickSight, COGNOS, or other third-party tools.

Preferred qualifications

• A master's or advanced technical degree is preferred.
• Proficiency in one or more query languages, schema definition languages, and scripting languages is preferred.
• Experience optimizing SQL queries with large-scale, complex datasets and using data visualization software or an open-source project is preferred.
• Experience with big data processing such as Hadoop or Apache Spark, data warehouse architecture, infrastructure, ETL, and reporting or analytics tools is preferred.
• Ability to deal with ambiguity in a fast-paced environment is preferred.

Workplace

• Hybrid working may be available depending on the team.

Intern experience

• Depending on location, country, job status, and other requirements, benefits may include competitive pay, project deliverables, intern events, networking, mentorship, and career development.