Sii Poland
Senior Data Engineer with AWS and Snowflake
1 day ago Be among the first 25 applicants
We are looking for a Data Engineer with expertise in Snowflake, AWS, and ETL processes, who will work closely with AI scientists and data analysts to design, develop, and maintain data pipelines and systems that support clinical and operational data use cases.
Your tasks
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
Requirements
Strong expertise in cloud technologies and the Snowflake ecosystem, 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
Knowledge of Pharma data formats is a big plus
Benefits For You
Great Place to Work
Solid financial situation
Contracts with the biggest brands
Centre of internal trainings
Many experts you can learn from
Open and accessible management team
Profit sharing
Passion Sponsorship program
Regular integration events and trips
Comfortable and well-equipped offices
MySii app
Medical care
Seniority level Mid-Senior level
Employment type Full-time
Job function IT Services and IT Consulting
#J-18808-Ljbffr
We are looking for a Data Engineer with expertise in Snowflake, AWS, and ETL processes, who will work closely with AI scientists and data analysts to design, develop, and maintain data pipelines and systems that support clinical and operational data use cases.
Your tasks
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
Requirements
Strong expertise in cloud technologies and the Snowflake ecosystem, 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
Knowledge of Pharma data formats is a big plus
Benefits For You
Great Place to Work
Solid financial situation
Contracts with the biggest brands
Centre of internal trainings
Many experts you can learn from
Open and accessible management team
Profit sharing
Passion Sponsorship program
Regular integration events and trips
Comfortable and well-equipped offices
MySii app
Medical care
Seniority level Mid-Senior level
Employment type Full-time
Job function IT Services and IT Consulting
#J-18808-Ljbffr