We are looking for a skilled Data & Python Developer to join our team. You will be responsible for designing, developing, and optimizing data pipelines, working with cloud-based solutions in Microsoft Azure, and leveraging Python for data processing, ETL, and automation. This role requires strong expertise in data engineering, cloud computing, and Python development.
responsibilities :
Design and develop data pipelines and ETL processes using and Python and Azure
Build, optimize, and maintain data lakes and data warehouses
Implement best practices in data modeling, processing, and security.
Develop and maintain APIs for data access and integration.
Optimize SQL queries and database performance for large datasets.
Collaborate with data analysts, data scientists, and business stakeholders to provide insights and data solutions.
Monitor and troubleshoot data pipelines, performance issues, and cloud infrastructure.
requirements-expected :
Strong Python programming skills with experience in pandas, NumPy, PySpark.
Experience with SQL databases (PostgreSQL, SQL Server, MySQL, etc.) and query optimization.
Knowledge of data lake architectures and data warehousing concepts.
Familiarity with big data processing (Spark, Hadoop, etc.).
Experience in CI/CD for data pipelines using Azure DevOps or GitHub Actions.
Understanding of cloud security best practices and RBAC in Azure.
Strong problem-solving and analytical skills.
offered :
We are open to the employment form according to your preferences
Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas
Mindbox is a dynamically growing IT company, but still not a large one – everybody can have a real impact on where we are going next
We invest in developing skills and abilities of our employees
We have attractive benefits and provide all the tools required for work f.e.computer
Interpolska Health Care, Multisport, Warta Insurance, training platform (Sages)
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
