Data Engineer

Job Description

• Responsible for expanding and optimizing our data and data pipeline architectures, as well as optimizing data flow and collection for cross-functional teams.
• Support our data analysts and scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Job Specifications

• Have a bachelor degree in information technology or computer science.
• Have at least 3 (three) years of experience as a Data Engineer role, with a successful history of data projects.
• Millennials or Gen-Z age groups with maximum 29 years old.
• Proficient in writing and speaking English.
• Experience in building and optimizing data pipelines, architectures, and data sets.
• Experience working with relational databases as well as working familiarity with a variety of databases, and have strong analytical skills related to working with structured and unstructured data sets.
• Experience performing root cause analysis on internal and external data and processes.
• Experience with relational SQL and NoSQL databases (such as Oracle, Cassandra, etc.), with big data tools (such as Hadoop, Spark, etc.), with object oriented or object function scripting languages (such as Python, Scala, Java, etc.), and with ETL platforms such as AirFlow, Talend, etc.
• Have good communication and interpersonal skills in order to working with cross-functional teams.