Cloud and Data Solutions Architect

5 days ago


Gothenburg, Västra Götaland, Sweden Baronit AB Full time
Baronit AB is a leading IT consultancy company that connects brilliant minds to shape the future of technology. We are seeking an experienced Senior Data Engineer to join our team. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities.

Job Description:
As a Senior Data Engineer, you will be responsible for designing and implementing data-driven solutions using modern cloud platforms, advanced data pipelines, and cutting-edge machine learning techniques. You will also develop and maintain large-scale data processing systems using cloud platforms like AWS, Azure, or GCP for data engineering and storage and related data services.

Responsibilities:
• Design and implement scalable data solutions using cloud platforms, advanced data pipelines, and machine learning techniques.
• Develop and maintain large-scale data processing systems using cloud platforms and data engineering tools.
• Implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for data workflows using DevOps tools like Jenkins, Git, Terraform, Docker, Kubernetes, Tekton, and ArgoCD.
• Ensure high-quality data visualization using tools such as Power BI, Tableau, QlikView/QlikSense, Streamlit, Grafana, Looker, or Python-based visualization libraries.
• Participate in Agile/Scrum methodologies and collaborate effectively in a fast-paced environment.
• Apply strong analytical and problem-solving skills to drive continuous improvement and innovation.

Requirements:
• Bachelor's or Master's 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.
• 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 SQL like PostgreSQL, MySQL, SQL Server, and NoSQL databases for querying and data manipulation.

Desirable Skills:
• Experience with machine learning techniques and AI product development.

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