Requirements

• Knowledge of Data Warehouse, Business Intelligence, Big Data, ETL/ELT issues supported by a minimum of 3 years of professional work experience 
• Very good knowledge of SQL and one of the languages Python, Scala
• Knowledge of Amazon S3, AWS Glue (including ETL and Data Catalog), Amazon Athena, AWS Step Functions and AWS Lambda
• Practical knowledge of various relational database engines, as well as non-relational in the AWS cloud, m.in.: Amazon Aurora, Amazon Redshift, Amazon DynamoDB
• Hands-on experience with data services offered by AWS cloud (or other cloud and willingness to gain advanced knowledge of AWS services)
• Independence, efficiency and responsibility for assigned tasks
• Very good knowledge of English (minimum C1)

• Spark, Databricks, Amazon Kinsesis 
• Delta Lake, Structured Streaming  
• Git repos and AWS CI/CD services: AWS CodeCommit/CodeBuild/CodeDeploy/CodePipeline 
• ClickUp, Jira, Confluence, Teams  
• Possession of specialized certifications in the area of data management (e.g. from Amazon, Microsoft, Databricks, Oracle)

Offer

• Global projects in multicloud - we work with clients from all over the world based on modern cloud technologies 
• Certification reimbursement - we fund exams, certifications from Microsoft, AWS, Databricks
• Time to learn - 60 paid hours per year 
• Flexible approach - you can choose to work from home or meet at our offices 
• Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus