Data Engineer

What you’ll do

Assist in gathering and analyzing business requirements for data analytics.

Support the development of data visualization projects.

Support data cleaning processes, including identifying and removing duplicate entries, correcting errors, filling in missing values, standardizing data formats, and verifying data accuracy and consistency.

Use SQL to extract, manipulate, clean, and analyze data from multiple sources to support business insights.

Develop and maintain interactive dashboards and reports using data visualization tools like Tableau and Looker to communicate key findings to both technical and and non-technical audiences.

Utilize Python for data processing, analysis, and automation tasks, including data cleaning and preparation.

Communicate analytical findings and insights to stakeholders clearly and concisely.

What experience you need 

English proficiency B2

Bachelor's degree in Information Systems, Data Science, or a related field, or be actively pursuing such a degree with a minimum of 2-3 years of completed coursework.  

1 year + working with data  analysis processes such as data cleaning, business analysis and data visualization principles.

1+ years Proficiency with standard query language (SQL) and BigQuery for data transformation, loading (ETL), as well as data cleaning and validation.

1+ years of working experience with Data visualization tools such as Tableau Desktop, Looker or similar.

What could set you apart

Machine Learning Experience

1+ years of working experience with Python for data analysis