AWS Data Engineer @ Ework Group

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.

🔹For our Client we are looking for AWS Data Engineer🔹

LOCATION: 100% remote from Poland (onboarding possible in Warsaw)

,[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.] Requirements: AWS, Kafka