Senior Data Engineer
7 days ago
**What We Need**:
We are seeking an experienced Senior Data Engineer / Data Expert with a strong background in data streaming, Apache Kafka, and Airflow to join our dynamic data engineering team. This role will involve managing and enhancing a large-scale infrastructure designed for extensive social media data scraping, integration into a data lake house, and coordination across multiple data-centric teams. This position requires expertise in handling complex data pipelines, identifying and resolving security vulnerabilities, and ensuring the optimal storage and retrieval of data within our systems.
**What You'll Do**:
- Design, develop, and maintain scalable data pipelines to support AI model development.
- Design, build, and maintain efficient, scalable, and reliable data pipelines using Apache Kafka, streaming services, and Airflow.
- Coordinate with the data acquisition team to ensure seamless data flow while addressing and resolving any security vulnerabilities identified in the Airflow and Kubernetes (K8) setup
- Implement data solutions to handle large volumes of structured and unstructured data, including videos, audio, images, and text.
- Collaborate with AI researchers, machine learning engineers, and software engineers to ensure data is available and ready for model training.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Optimize data processing workflows for performance and scalability.
- Lead initiatives to validate and manage multilingual data, specifically for Arabic and English datasets, with a focus on YouTube data.
- Coordinate model training and data validation efforts, to enhance multilingual processing capabilities.
- Oversee the completion of Phase 01 data scraping project, which includes managing data collection from social media platforms under API constraints.
- Coordinate with the team to finalize infrastructure setup for scraping 2 million hours of video from YouTube and 10 million photos from other sources.
**What You Have**:
- Bachelor's or master's degree in computer science, Data Engineering, or a related field.
- 8+ years of experience in data engineering with a focus on building data pipelines.
- Proficiency in data processing technologies such as Apache Spark, Airflow, Kafka, Hadoop, and cloud platforms (AWS, GCP, Azure).
- Strong programming skills in Python, Java, Go, or Scala.
- Experience with SQL and NoSQL databases.
- Demonstrated ability to work on large-scale data projects and deliver results.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills.
**What We Offer**:
- An international workforce to learn from and grow with - we have a diverse, multicultural workforce with Nordic values
- A fair compensation package and a considerable annual leave of 25 days per annum. We support our staff to be with family at the most important time. Partners with a newborn baby can have additional holidays.
- Medical insurance depending on agreement
- Opportunities for growth and enrichment through Grow with Oivan, our internal learning and development departments
- Line devices Mac or PC within a fixed company budget
- Team building activities, movie nights, events
**Who We Are**:
- PDPL Statement_
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