Data Engineer Intern at Indicina

About the Role

• We are looking for motivated and talented individuals to join our team.
• The goal of this internship is to fill gaps in machine learning and better prepare you for a future career in Data Engineering.
• As a Data Engineer intern, you will be working closely with a supervisor and other colleagues who will provide you with real hands-on projects and daily tasks.

Job Responsibilities

• Collaborate with developers, tech leads and solution architects to build applications.
• Improve existing processes by adding new functionalities or proposing technological updates so that as a result, the impact of your contribution is significant in the core of the business.
• Work with different business and technical teams across the company to establish unified definitions, systems, and data governance for key metrics.
• Build scalable backend solutions for automation of data processing;
• Develop predictive / segmentation models to understand our customers’ behavior and convert that to actionable that will drive product / marketing/sales key metrics;
• Initiate and drive projects to completion with minimal guidance

Qualifications

• Bachelor's Degree in Computer Science or in related field
• Software Engineering experience with proficiency in at least one high-level programming and query language (preferably Python & SQL)
• Experience / Hands-on familiarity with building and optimizing data ETL from one system to another
• Experience/ Hands-on familiarity with processing data at scale with Spark clusters
• Experience / Hands-on familiarity with working with Cloud (AWS) services – EMR, Airflow, Glue, Lambdas etc
• Experience / Hands-on familiarity with tuning queries using SQL on Presto engines like Athena or columnar database like AWS Redshift
• Experience / Hands-on familiarity with data modelling
• Experience / Hands-on familiarity using git for version control
• Proficiency in Microsoft Office and other office tools such as Slack, Jira
• Ability to work independently and remotely
• Organizational skills and understanding of the data lifecycle
• Experience working with a team.

Benefits

• Competitive salary.
• High impact and visibility role in a fast-growing start-up.
• Flexible work opportunities.
• Virtual and Onsite Team building activities.