5+ years of professional software development experience.
Strong ability in distributed systems for large scale data processing.
Ability to communicate technical information effectively to both technical and non-technical audiences.
Proficiency in SQL and Python.
Experience with open source data infrastructure projects (e.g., Apache Spark, Airflow, Kafka).
Experience building scalable data pipelines and real-time data streams.
Experience with AWS or similar cloud environments, including AWS services like Kinesis and Lambda is a plus.
Experience with GCP services like BigQuery and Cloud Functions is a plus.
Degree in Computer Science or Engineering required, Masters preferred.
Excellent communication skills required, fluency in English.

💡 Responsibilities

Be the technical lead on the team, owning the architecture of the data solutions and the data platform.
Mentor other engineers and help them with their growth.
Drive engineering best practices, set standards, and propose larger projects which may require cross-team collaboration.
Design and develop applications to process large amounts of critical information in batch and near real-time.
Influence technical direction for the company by helping evaluate emerging technologies.
Bring engineering maturity to a growing team involved in critical initiatives.

AWSPythonSoftware DevelopmentSQLCommunication SkillsCollaboration

Posted 3 months ago