We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.
Requirements:
Bachelor's degree in Computer Science or equivalent practical experience.
At least 3 years of experience in data engineering or related roles.
Experience with big data Machine Learning – a must ! .
Proficiency in Python- must. Scala is a plus.
Experience with Big Data technologies including Spark, EMR and Airflow.
Experience with containerization/orchestration platforms such as Docker and Kubernetes.
Familiarity with distributed computing on the cloud (such as AWS or GCP).
Strong problem-solving skills and ability to learn new technologies quickly.
Being goal-driven and efficient.
Excellent communication skills and ability to work independently and in a team.
Bachelor's degree in Computer Science or equivalent practical experience.
At least 3 years of experience in data engineering or related roles.
Experience with big data Machine Learning – a must ! .
Proficiency in Python- must. Scala is a plus.
Experience with Big Data technologies including Spark, EMR and Airflow.
Experience with containerization/orchestration platforms such as Docker and Kubernetes.
Familiarity with distributed computing on the cloud (such as AWS or GCP).
Strong problem-solving skills and ability to learn new technologies quickly.
Being goal-driven and efficient.
Excellent communication skills and ability to work independently and in a team.
This position is open to all candidates.
