Remote Senior Data Engineer @

2 tygodni temu

Wrocław, Województwo dolnośląskie, Polska DataRiseLab Pełny etat

SENIOR DATA ENGINEER ABOUT US We are an IT Company offering our Clients with a comprehensive support in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in the organization, creating advanced data analytics solutions as well as cloud solutions and business applications. As a Microsoft Partner in the area of Data & AI Azure, we have deep expertise in cloud tools and technologies, supporting clients from Poland and other European countries. JOB OFFERING We are looking for a  Senior   Data Engineer  who will be responsible for creation, development and management of processes for data transformation and integration with use of Azure stack (Data Factory, ASQL and Synapse Analytics, Data Bricks). Data Engineer will also work on monitoring, process analysis, performance tuning and cost optimization for new and existing solutions. In this role, you will work closely with cross-functional teams, including developers, architects, business analysts, testers and stakeholders to ensure the successful delivery of various IT projects. If you are passionate about Data, know Data Lakes, Data Warehousing and maybe also Lake Houses, if you are looking for an exciting opportunity to grow and develop your career, we encourage you to apply for this position. BENEFITS B2B contract Remote work and flexible working hours Healthcare, Multisport benefit, Trainings, Industry Events Direct collaboration with Founders and other, experienced team members Experience: 4+ years of experience in Data Engineering  Experience in Microsoft Azure Data ecosystem (i.e. Azure Data Factory, Azure SQL and Synapse Analytics, Data Bricks)  Experience with data modelling and data integration  Knowledge in SQL (T-SQL or any other)  Problem-solving, analytical and critical thinking skills  Experience with Agile and Scrum methodologies  Azure DevOps experience (Repos, Pipelines)  Good command of both written and spoken English (B2 level)  Nice to have: Experience in Python or Scala programming  Experience with Snowflake  SENIOR DATA ENGINEER ABOUT US We are an IT Company offering our Clients with a comprehensive support in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in the organization, creating advanced data analytics solutions as well as cloud solutions and business applications. As a Microsoft Partner in the area of Data & AI Azure, we have deep expertise in cloud tools and technologies, supporting clients from Poland and other European countries. JOB OFFERING We are looking for a  Senior   Data Engineer  who will be responsible for creation, development and management of processes for data transformation and integration with use of Azure stack (Data Factory, ASQL and Synapse Analytics, Data Bricks). Data Engineer will also work on monitoring, process analysis, performance tuning and cost optimization for new and existing solutions. In this role, you will work closely with cross-functional teams, including developers, architects, business analysts, testers and stakeholders to ensure the successful delivery of various IT projects. If you are passionate about Data, know Data Lakes, Data Warehousing and maybe also Lake Houses, if you are looking for an exciting opportunity to grow and develop your career, we encourage you to apply for this position. BENEFITS B2B contract Remote work and flexible working hours Healthcare, Multisport benefit, Trainings, Industry Events Direct collaboration with Founders and other, experienced team members ,[Creation, configuration, implementation and integration of Data Lakes, Data Warehouse or Lake House solutions with use of Azure technologies (Azure Data Factory, Azure SQL and Synapse Analytics, Data Bricks) , Data processing and transformation of large datasets , Designing and implementing data pipelines, data models and data integration solutions , Performance tuning and cost optimization , Building ELT and ETL processes , Collecting and monitoring performance metrics, tuning performance of processes , Identifying ways of improving the data quality and efficiency , Refactoring code for currently existing solutions , Proposing solution architecture based on cloud solutions , Partnering with BI teams to define the best approach around data ingestion and data structures ] Requirements: Azure Data Factory, Azure SQL, Synapse Analytics, Azure DevOps, SQL, T-SQL, Data Bricks, Python, Scala, Snowflake Additionally: Sport Subscription, Remote work, Flexible working hours, Private healthcare.

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