Skills needed: Junior Data Engineer skills required; proficiency in software engineering principles and practices expected.
Years of experience: No specific years of experience mentioned for this entry-level position. Respond with "No more than zero" if you are seeking a candidate without prior work experience, or specify the desired range otherwise (e.g., 0-2 years).
Education: Bachelor's degree in Computer Science/Data Management required; knowledge of programming languages such as Python and SQL is preferred but not mandatory for this role. Respond with "Bachelor’s Degree" if you are seeking a candidate without higher education, or specify the desired level otherwise (e.g., Bachelor's degree).
Certifications: No specific certifications mentioned; however, familiarity and experience using AI tools in data engineering may be beneficial but is not mandatory for this role. Respond with "No more than zero" if you are seeking a candidate without prior knowledge or skills related to artificial intelligence (AI) tools used in the hiring process.
Must-haves: Experience working remotely and being comfortable using technology that supports remote work is required; proficiency in English language communication, both written and verbal, may be beneficial but not mandatory for this role as it's a Latam position (please specify if you are seeking candidates without such skills). Respond with "Yes" or "No" based on your preference.
Additional notes: The job posting mentions the use of AI tools in parts of the hiring process, but final decisions will be made by humans; no specific data privacy regulations mentioned (please specify if you are seeking candidates without knowledge/experience related to GDPR or other relevant data protection laws). Respond with "No more than zero" for this requirement.
Responsibilities
Bachelor’s degree in Computer Science, Information Systems or demonstrated ability in a related field is required.
Experience with Python programming using an IDE, ideally building an application/framework/program
Experience working with data environments in an engineering or technical capacity
Experience working with data using structured (SQL) and/or unstructured (NoSQL) approaches.
Experience with or exposure to data visualization principles and practices, especially with Power BI and Tableau
Ingest data from internal and external sources using cloud-native AWS platform technologies (e.g., S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, Terraform)
Strong communication skills and an interest in advancing your knowledge of data engineering