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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement scalable data infrastructure and pipelines using platforms like Apache Hadoop, Apache Airflow, and Azure Data Factory.
Lead and manage data engineering teams and client projects to ensure timely delivery, quality outcomes, and adherence to standards.
Mentor and develop team members to enhance skills, performance, and promote adoption of advanced data engineering technologies and methodologies.
Minimum Requirements
Bachelor's degree in any field.
Minimum 4 years of professional experience in data engineering or related roles.
Proficiency in English (oral and written).
Not explicitly mentioned in the JD: notice period or strict location requirements.
Ideal Candidate Profile
Has a background in Management Information Systems, Computer Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, or Statistics.
Demonstrates proficiency with data engineering platforms such as Databricks and Snowflake, and advanced skills in Apache Hadoop and Apache Airflow.
Experienced in leading teams within agile environments, leveraging cloud platforms like AWS and Azure, and driving innovation in data architecture and integration strategies.