
Cloud Data Engineer (f/m/x)
Primary stack
Nice to have's
Job description
About the Position
Cloud Data Engineer (f/m/x)
Join our specialized unit focusing on experts in data processing and analysis within the Data & Analytics Competence Center. We also offer development in the areas of Data Science, Big Data, and Machine Learning.
Responsibilities
- Designing, building, and developing scalable and high-performance data processing platforms in Data Lake / Data Platform architecture
- Creating and maintaining ETL/ELT pipelines for data integration from various sources and processing them in the Azure Databricks environment
- Data modeling and preparing data structures tailored to analytical and business needs
- Implementing solutions for data processing (batch and/or near real-time)
- Monitoring, optimizing, and developing existing pipelines and data processing processes
- Collaborating with data analysts, BI teams, and Data Science on data preparation and sharing
- Gathering business requirements and proposing optimal technological solutions
- Creating and maintaining technical documentation for developed solutions
- Supporting and mentoring less experienced team members, sharing knowledge and best practices
Requirements
- Minimum 4 years of experience in projects related to processing and integrating large volumes of data
- Strong knowledge of SQL and Python
- Experience working with data processing frameworks such as Apache Spark / PySpark
- Practical experience in designing and building Data Lake and Data Warehouse solutions
- Ability to build and maintain ETL/ELT pipelines and work with data orchestration and integration tools
- Commercial experience in cloud-based Microsoft Azure data processing projects (e.g., Databricks, Azure Data Factory, Synapse, Fabric)
- Knowledge of data processing concepts in a distributed environment and optimizing data pipelines
- Ability to communicate fluently in English
- Fluent knowledge of Polish is required
- Required to be located in Poland
Nice to Have
- Experience in projects related to data migration from on-premise to cloud (databases: Oracle, PostgreSQL, MS SQL)
Technologies & Tools
Must have
- Python
- SQL
- ETL/ELT
- Apache Spark/PySpark
- Microsoft Azure
- Databricks
Will be a plus
- Snowflake
- Apache Kafka
- Apache Airflow
We Offer
- Opportunity to develop skills in cloud technologies
- Collaborative work environment with data analysts, BI teams, and Data Science
- Support and mentorship from experienced team members
About the Company
Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.
Job no. JOB-XWELK
© Sii Ukraine. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Київ, Львів, Одеса, Білосток (Польща), Бидгощ (Польща), Варшава (Польща), Вроцлав (Польща), Гданськ (Польща), Глівіце (Польща), Ряшів (Польща), Катовіце (Польща), Краків (Польща), Лодзь (Польща), Люблін (Польща), Піла (Польща), Познань (Польща), Стокгольм (Швеція), Ченстохова (Польща)
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