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AWS Cloud Data Architect with Snowflake

1 tydzień temu


Łódź, Łódź Voivodeship, Polska Sii Polska Pełny etat

We are seeking a highly skilled Senior Data Engineer to join our team at Sii Polska Łódź.

As a Senior Data Engineer, you will play a key role in designing, developing, and maintaining data pipelines and systems that support clinical and operational data use cases.

  • Strong expertise in cloud technologies, particularly AWS, Data One Platform, Immuta, Collibra, and cloud security aspects
  • Minimum 5 years of experience in Python programming for building and maintaining data pipelines
  • Advanced knowledge of databases, including query optimization, relational schema design, and MPP using SQL
  • Expertise in data storage technologies, including files, relational databases, MPP, NoSQL, and various data types (structured, unstructured, metrics, logs)
  • Deep familiarity with Data Vault, Data Mesh, dimensional modeling, and metadata management
  • Understanding of business and analytical processes, as well as integration with analytics and reporting systems
  • Experience working in Agile environments, coaching development teams with the use of fluent English and Polish
  • Residing in Poland required

Nice-to-have requirements:

  • Knowledge of Pharma data formats is a big plus
Responsibilities:
  • Design and develop data architecture incorporating Snowflake, Immuta, Collibra, and cloud security
  • Implement and optimize ETL/ELT processes, manage raw data, automate workflows, and ensure high performance and reliability of data processing systems
  • Manage data quality and security, monitor quality, and implement metadata management strategies
  • Collaborate with analytics and business teams to identify user needs and deliver comprehensive solutions supporting analytics and reporting
  • Optimize and migrate data systems through data and process conversion from existing systems to Data Vault
  • Define and enforce coding standards, data modeling, and ETL/ELT architecture, ensure compliance with Data Mesh and other modern approaches
  • Coach and mentor the data engineering team, conduct code reviews, participate in architectural discussions, and initiate innovative technological solutions