AWS Data Engineer

O projekcie: 🔹For our Client we are looking for AWS Data Engineer🔹 LOCATION: 100% remote from Poland (onboarding possible in Warsaw) Wymagania: Profile: - Proven experience in Big Data or Cloud projects involving processing and visualization of large and unstructured datasets, across various phases of the SDLC.  - Hands-on experience with the AWS cloud, including Storage, Compute (and Serverless), Networking, and DevOps services. - Solid understanding of AWS services, ideally supported by relevant certifications. - Familiarity with several of the following technologies: Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark. - Basic proficiency in at least one of the following programming languages: Python, Scala, Java, or Bash. - Good command of English; German language skills would be an advantage. Nice to Have: - Experience with orchestration tools (e.g., Airflow, Prefect).  - Exposure to CI/CD pipelines and DevOps practices. - Knowledge of streaming technologies (e.g., Kafka, Spark Streaming). - Experience working with Snowflake or Databricks in a production or development environment. - Relevant certifications in AWS, data engineering, or big data technologies. Codzienne zadania: - Tasks: - Design and implement solutions for processing large-scale and unstructured datasets (Data Mesh, Data Lake, or Streaming Architectures). - Develop, optimize, and test modern Data Warehouse (DWH)/Big Data solutions based on the AWS cloud platform within CI/CD environments. - Improve data processing efficiency and support migrations from on-premises systems to public cloud platforms. - Collaborate with data architects and analysts to deliver high-quality cloud-based data solutions. - Ensure data quality, consistency, and performance across AWS services and environments. - Participate in code reviews and contribute to technical improvements.