
Cloud-Based Data Engineering Specialist
4 days ago
Maximizing Business Value through Cloud-Based Data Engineering
VIPAS AB is dedicated to delivering tailored solutions using cutting-edge technologies like Java and Python. Our team brings extensive experience and expertise in software development, DevOps, and engineering.
Job DescriptionWe are seeking a highly skilled Cloud-Based Data Engineering Specialist to join our team. As a Data Engineer at VIPAS AB, you will play a crucial role in shaping our vision of business technology perfectly aligning with our goals—efficient, scalable, and innovative.
- Key Responsibilities:
- Design and implement cloud-based data engineering solutions.
- Work with Spark & Python to define and maintain data ingestions and transformation.
- Create a distributed and highly parallelized big data processing pipeline.
- Enrich and transform corporate data using Spark for searching, data visualization, and advanced analytics.
- Collaborate closely with analysts and business stakeholders to develop analytics models.
- Collaboration with Data Scientists and Machine Learning experts.
- Provide detailed information about progress during PI Demo sessions.
- Requirements:
- Experience in Spark & Python - minimum 4 years.
- Strong Spark SQL or Hive SQL - minimum 4 years.
- Experience with Hadoop/Hive ecosystem and/or other BIG Data technologies - minimum 3 years.
- Previous experience in creating data flows (ETL's, ELT's, etc.).
- Experience with BitBucket and GIT, code versioning and branching strategy.
- Familiar with Agile/Safe framework.
- Nice to Have:
- Cloud Experience is a big plus (AWS, GCP, AZURE).
- Basic knowledge about machine learning models (how to build, validate, and maintain regression models).
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