Senior Data Engineer
Skicka ansökan 147 dagar kvar
Ingenjör Dataingenjör
147 dagar kvar

Arbetsbeskrivning

Shaping the Future with Brilliant Minds

At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Fintech, Healthcare, Telecom, E-commerce, and more.

We are an IT consultancy company based in Gothenburg looking for an experienced Data Engineer to join our client’s team. This role involves working closely with our client’s cross-functional teams to deliver data-driven, scalable solutions using modern cloud platforms, advanced data pipelines, and cutting-edge machine learning techniques.

Here's what we’re looking for in an ideal candidate:

  • Academic degree in Computer Science, Engineering, or a related field.
  • 6+ years of experience in Data Engineering or related fields.
  • Expertise in Python for data manipulation and analysis, including libraries like Pandas, NumPy, Scikit-Learn, SciPy and TensorFlow.
  • Proven experience with Cloud Platforms such as AWS, Azure, or GCP for data engineering and storage and related data services.
  • Strong understanding of ETL processes and tools like Apache Spark, Apache Kafka, Airflow, Hadoop DBT, Fivetran, Beam.
  • Experience with data processing frameworks like Beam, Dataproc, Spark, Hive, Flink and BigQuery.
  • Experience with CI/CD pipelines for data workflows, using tools like Jenkins, Git, Terraform, Docker, Kubernetes, Tekton and ArgoCD.
  • Experience with SQL like PostgreSQL, MySQL, SQL Server and NoSQL databases for querying and data manipulation.
  • Data visualization skills using tools such as Power BI, Tableau, QlikView/QlikSense, Streamlit, Grafana, Looker or Python-based visualization libraries.
  • Experience with Agile/Scrum methodologies and working in a fast-paced, collaborative environment.
  • Strong communication, analytical and problem-solving skills, with a focus on continuous improvement and innovation.
  • Experience in machine learning techniques and AI product development is a plus.

Mer info

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Publicerad 2024-10-20
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