Data Engineer AWS @

Proven experience as a Data Architect, Cloud Architect, or Senior Data Engineer with architectural responsibilitiesExpertise in AWS cloud services (e.g., S3, Redshift, Glue, Lambda, EMR, Athena, Kinesis, Lake Formation)Strong knowledge of data modeling, ETL/ELT, and data warehousing conceptsExperience designing and implementing data lakes and modern data...

3+ years' experience with AWS (Glue, Lambda, Redshift, RDS, S3),5+ years' experience with data engineering or backend/fullstack software development,strong SQL skills,Python scripting proficiency,experience with data transformation tools – Databricks and Spark,data manipulation libraries (such as Pandas, NumPy, PySpark),experience in structuring and...

Must be available for evening/late afternoon meetings twice weekly to collaborate with US-based stakeholdersProficiency in Cloud Development frameworks - AWS - CDK (EC2, S3, Lambdas, SQS) and GitLAB CI,Strong knowledge of Container Orchestrate (Kubernetes)Proved experience with Continuous IntegrationFamiliarity with version control systems like GITAbility to...

- 3+ years of experience in DevOps/MLOps/Cloud Engineering.- 3+ years of experience with on-premises ML infrastructure.- Deep understanding of the AWS ecosystem.- Proven experience developing scalable systems with hybrid infrastructure.- Cloud & Infrastructure: Experience with AWS (ECS/EKS, S3, Lambda, SageMaker), Terraform/CloudFormation. Cloud resource...

3+ years of experience as a Data Engineer or similar roleStrong knowledge of SQL and data modeling principlesExperience with Python or Scala for data processingHands-on experience with cloud platforms (ideally AWS, but Azure/GCP also valuable)Familiarity with tools like Apache Spark, Airflow, Kafka, or similarExperience with data lakes, data warehouses, or...

Must-have:Bachelor's or Master's degree in Computer Science, Engineering, or similar.5+ years of experience in Data Engineering in enterprise/cloud environments.Strong hands-on knowledge of SQL, Python, and data modeling.Experience with cloud-based data architecture (preferably AWS).Familiarity with structured & unstructured data, APIs, and ETL/ELT...

6+ years of experience in Data EngineeringProven experience in a technical leadership or lead engineer roleExpert in Python, SQL, and cloud-native data processing toolsStrong knowledge of AWS (preferred), GCP or Azure also welcomeExperience with orchestration tools (Airflow, Dagster, etc.)Proficiency with modern data platforms like Databricks, Snowflake,...

Must-Have QualificationsAt least 3+ years of experience in data engineering.Strong expertise in one or more cloud platforms: AWS, GCP, or Azure.Proficiency in programming languages like Python, SQL, or Java/Scala.Hands-on experience with big data tools such as Hadoop, Spark, or Kafka.Experience with data warehouses like Snowflake, BigQuery, or...

Must have requirements:Minimum 1 year of experience in data engineeringProficiency in PythonHands-on experience with SQL and ability to write complex queriesBasic knowledge of data related AWS ServicesEnglish level: B2EU citizenshipGood communication SkillsAbility to go on occasional business trips abroad and to our office in KatowiceNice to have...

4+ years of experienceThe candidate needs to have extensive experience with building complex solutions using cloud technologies (AWS, Snowflake) and workflow orchestration and data management tools.Experience with data visualization tools such as Tableau or Thoughtspot is a must.The candidate needs to have practical and proven experience with setting...