Cloud Solutions Architect

4 dni temu


Wrocław, Województwo dolnośląskie, Polska DataRiseLab Sp. z o.o. Pełny etat
About Us
DataRiseLab Sp. z o.o. is an innovative IT company dedicated to delivering comprehensive data management solutions. We offer our clients a wide range of services, including development and maintenance of data warehouses, data integration, business intelligence reporting, and Big Data analytics.

We are passionate about harnessing the power of data to drive business growth and improvement. Our team of experts works closely with clients to understand their unique needs and develop tailored solutions that meet their requirements.

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 seeking a Senior Data Engineer who will be responsible for creating, developing, and managing processes for data transformation and integration using Azure stack technologies (Data Factory, ASQL, and Synapse Analytics). The ideal candidate will work on monitoring, process analysis, performance tuning, and cost optimization for new and existing solutions.

In this role, you will collaborate closely with cross-functional teams, including developers, architects, business analysts, testers, and stakeholders to ensure successful delivery of various IT projects.

If you are passionate about data, knowledgeable about Data Lakes, Data Warehousing, and Lake Houses, and looking for an exciting opportunity to grow and develop your career, we encourage you to apply for this position.

Responsibilities
- Creation, configuration, implementation, and integration of Data Lakes, Data Warehouse, or Lake House solutions using Azure technologies (Azure Data Factory, Azure SQL, and Synapse Analytics)
- 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 data quality and efficiency
- Refactoring code for 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
- 4+ years of experience in Data Engineering
- Experience in Microsoft Azure Data ecosystem (i.e., Azure Data Factory, Azure SQL, and Synapse Analytics)
- Experience with data modeling 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

Benefits
- B2B contract
- Remote work and flexible working hours
- Healthcare, Multisport benefit, Trainings, Industry Events
- Direct collaboration with Founders and other experienced team members

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