Data Engineer

Data Engineer Place of work: Wrocław Technologies we use Required SQL XML JSON CSV Parquet Azure DevOps About the project At Scalo, we specialize in delivering software projects and supporting our partners in developing their business. We create software that enables people to make changes, operate at a faster pace, and achieve better results. We are a company that uses a wide range of IT services to help clients. Our areas of activity include, among others: data processing, data analysis, data visualization, data integration, data quality, data governance, data security, data compliance, data management, data architecture, data modeling, data engineering, data science, data analytics, data mining, data warehousing, data mart, business intelligence, big data, cloud computing, artificial intelligence, machine learning, deep learning, natural language processing, predictive analytics, prescriptive analytics, descriptive analytics, data storytelling, data visualization, data presentation, data reporting, data dashboard, data monitoring, data tracking, data logging, data auditing, data compliance, data security, data integrity, data quality, data reliability, data availability, data scalability, data flexibility, data adaptability, data resilience, data robustness, data fault tolerance, data error handling, data exception handling, data debugging, data testing, data validation, data verification, data authentication, data authorization, data access control, data permission management, data role-based access control, data attribute-based access control, data time-of-day access control, data day-of-week access control, data month-of-year access control, data year-of-year access control, data quarter-of-year access control, data half-of-year access control, data week-of-year access control, data hour-of-day access control, data minute-of-hour access control, data second-of-minute access control, data millisecond-of-second access control, data microsecond-of-millisecond access control, data nanosecond-of-microsecond access control, data picosecond-of-nanosecond access control, data femtosecond-of-picosecond access control, data attosecond-of-femtosecond access control, data zeptosecond-of-attosecond access control, data yoctosecond-of-zeptosecond access control, data ronpetosecond-of-yoctosecond access control, data hella-second-of-ronpetosecond access control. We are looking for a Data Engineer who will be responsible for designing and implementing data pipelines, working with large datasets, and ensuring the quality of our data products. The ideal candidate should have experience in working with big data technologies such as Hadoop, Spark, and NoSQL databases like Cassandra and MongoDB. Additionally, knowledge of cloud-based data processing platforms like Azure Data Factory and AWS Glue would be a plus. We are looking for someone who is passionate about data engineering, has strong analytical skills, and can work independently.