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Senior AWS Data Engineer
Job summary
A leading international IT consultancy is seeking an experienced AWS Data Engineer to join a remote team. The role involves designing and implementing solutions for large-scale data processing, optimizing data workflows, and collaborating with various teams. Candidates should have over 6 years in Big Data or Cloud projects and strong AWS expertise. Competitive remuneration is offered as part of a full-time job agreement.
Benefits
Qualifications
- 6+ years in Big Data or Cloud projects with unstructured datasets.
- Hands-on experience with AWS services including Storage, Networking, and DevOps.
- Familiarity with programming languages like Python, Scala, Java, or Bash.
Responsibilities
- Design and implement solutions for processing large-scale datasets.
- Optimize DWH/Big Data solutions on AWS in CI/CD environments.
- Collaborate with data architects and ensure data quality.
Skills
Tools
In Cyclad we work wih top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking a highly AWS Data engineer with solid experience in design and implement solutions for processing large-scale and unstructured datasets to join a remote team. Expected background in Big Data or Cloud projects, including hands‑on experience with AWS services such as Storage and Compute (including serverless), Networking, and DevOps tools.
- Type of project: IT services, consulting
- Budget: b2b 150 - 180 net per hour
- Only candidates with citizenship in the European Union and residence in Poland
- Start date: ASAP (depending on candidate's availability)
- Design and implement solutions for processing large-scale and unstructured datasets (Data Mesh, Data Lake, or Streaming Architectures).
- Develop, optimize, and test modern 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.
- Proven 6+ years of 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
- Very good command of English (German language skills would be an advantage)
- Fully remote working model
- Full‑time job agreement based on b2b and employment contract
- Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible
- Multisport card (also for an accompanying person)
- Life insurance
- sharing the costs of sports activities
- private medical care
- sharing the costs of professional training & courses
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.