Luxoft company
🔔 Are you in Poland? If YES this is the project for YOU!
Our benefits:
💸 copyrights cost up to 90% - that gives you higher net salary
👩⚕️ Private Medical Care in Luxmed and Life Insurance
🏋️♀️ Multisport Card
👨👧👦 Paid referrals
📚 Self-learning libraries
🛫 Relocation package for seniors and assistance during all process...and MORE!
Project Description:
We are seeking an experienced Data Engineer (5-8 years' experience) to design, implement, and maintain scalable and efficient data pipelines. This role requires extensive hands-on experience with ETL and ELT using tools like Azure Data Factory (ADF) and Fabric Solutions. The ideal candidate will be an individual contributor with a strong background in data ingestion, transformation, and loading processes.
Responsibilities:
▪ Design, develop, and maintain data pipelines and ETL processes on Microsoft Azure.
▪ Implement data integration solutions using Azure Data Factory, Fabric Notebooks, Spark jobs, Synapse, and other Azure services.
▪ Collaborate with business stakeholders to gather requirements and ensure data solutions meet business needs.
▪ Optimize data workflows for performance, scalability, and reliability.
▪ Analysis & Troubleshooting: Debug and resolve complex issues with the data pipelines.
▪ Ensure data accuracy, consistency, and security across all data pipelines.
▪ Develop and maintain documentation for data processes and solutions.
Mandatory Skills Description:
▪ 5-8 years of experience in data engineering with a focus on Azure.
▪ Strong proficiency in Azure Data Factory, Python, and Azure Synapse.
▪ Experience with data modelling, ETL processes, and SQL.
▪ Familiarity with Azure DevOps for CI/CD pipelines.
▪ Experience with data integration for different sources (SQL, APIs, Flat Files, Data Streams etc.)
▪ Excellent problem-solving skills and attention to detail.
▪ Strong communication and collaboration skills.
▪ Ability to work independently and manage multiple tasks.
▪ Bachelor's degree in Computer Science, Information Systems, or a related field.
Nice-to-Have Skills Description:
▪ Experience in the financial industry or working with financial data.
▪ Experience with Microsoft fabric.
▪ Knowledge of data governance and data quality best practices.
▪ Hands-on experience with Python in ETL processes.
