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Senior Data Engineer
2 months ago
We are seeking a highly skilled Senior Data Engineer to join our team at Helsingborg. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining scalable and robust data pipelines and systems.
Key Responsibilities- Design and develop efficient data pipelines and ETL processes to support data ingestion, transformation, and storage.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
- Implement data processing and enrichment tasks using technologies such as Apache Spark, Apache Flink, or similar distributed processing frameworks.
- Design and optimize relational and non-relational databases and data models.
- Implement and maintain monitoring, logging, and alerting systems to ensure data pipeline reliability and performance.
- Conduct code reviews and contribute to the continuous improvement of development processes and best practices.
- Master's degree or equivalent combination of education and work experience.
- 6+ years of experience in software development, with at least 3 years of experience specifically as a data engineer.
- Proven experience designing and building data pipelines and ETL processes.
- Experience with popular ML/DL frameworks & libraries such as Pandas, NumPy, TensorFlow/Keras, PyTorch, scikit-learn, Matplotlib, and Seaborn is valuable.
- Strong programming skills in languages such as Python, Java, R, Scala or Kotlin (JDK).
- Experience with distributed data processing frameworks such as Apache Spark or Apache Flink.
- Solid understanding of relational & no-relational databases, and data warehousing concepts (e.g., SQL, NoSQL).
- Strong understanding of machine learning (ML) and deep learning (DL) concepts and algorithms.
- Experience in backend engineering and REST API design using GraphQL.
- Experience in containerization with Docker, model serving with frameworks like TensorFlow Serving and FastAPI.
- Experience with cloud platforms and services (e.g., AWS, Azure, GCP) and serverless architecture.
- Hands-on experience with Data Lake, Databricks, Data Factory etc.
- Knowledge of big data technologies such as Hadoop, Hive, or HBase is a plus.
- Excellent problem-solving skills and the ability to troubleshoot complex issues.
- Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Proactivity, thinking one step ahead, raises potential issues and suggests solutions.
- Good interpersonal skills and a team player.
- Good communicating skills, including a high level in spoken and written English.
- Flexible and able to adapt quickly to changing business requirements.
- Innovative - See possible solutions to the impossible.
- Structured way of working.
- Strong business orientation - Service minded.
