Job Description

We are looking for a skilled and proactive Data Engineer with deep expertise in the Amazon Web Services (AWS) ecosystem to join our data team. You will be responsible for designing, building, and optimizing scalable data pipelines and cloud architectures that power analytics and business intelligence across the organization. Your role is central to transforming raw data into reliable, high-quality datasets using modern tools like AWS Glue, Amazon EMR, and Amazon Redshift

LOCATION:

POLAND - Flexibility to work either from our Krakow/ Wroclaw offices or from a home office – the choice is up to you!

RESPONSIBILITIES:

• Develop and maintain complex ETL/ELT pipelines using AWS Glue and AWS Step Functions to ingest and transform data from diverse sources.
• Design and implement scalable data storage solutions using Amazon S3 (Data Lake) and relational databases such as Amazon RDS or Amazon Aurora
• Utilize Amazon EMR (with Spark/Hadoop), AWS Glue Studio, and Amazon Redshift to process large-scale structured and unstructured datasets.
• Optimize performance of data pipelines, ensuring cost-efficiency and high availability.
• Troubleshoot and monitor workflows to ensure data integrity and system reliability (using Amazon CloudWatch, AWS X-Ray, and AWS CloudTrail).
• Collaborate with Data Architects and Business Analysts to translate requirements into technical solutions.
• Implement CI/CD practices for automating the deployment of data infrastructure and pipeline logic.

REQUIREMENTS:

• 4+ years of experience as a Data Engineer or in a similar cloud-focused role.
• Knowledge of AWS Services, specifically AWS Glue, Amazon EMR, Amazon Redshift, AWS Lambda, Amazon S3, and AWS DMS (Database Migration Service).
• Strong proficiency in SQL and experience with Python, Scala, or PySpark for data transformation.
• Solid understanding of Database Management, including relational data modeling, Amazon RDS, Aurora
• Hands-on experience with Git (or equivalent version control systems) for version control and CI/CD.
• Proven ability to work with Big Data processing and building robust ETL/ELT architectures.
• Experience with cloud storage ( S3) and partitioning strategies.
• AWS Certified Data Engineer – Associate (or higher) certification is required. If you do not currently hold this certification, we expect you to obtain it within your first 1 month with us.

NICE TO HAVE:

• Experience with migration from on-premises or other cloud systems to Cloud.
• Knowledge of Data Governance principles and tools within the AWS environment (e.g., AWS Lake Formation, Glue Data Catalog).
• Understanding of Infrastructure as Code (IaC) using AWS CloudFormation or Terraform
• Experience working with other cloud platforms, such as Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud, demonstrating the ability to adapt quickly to different cloud ecosystems and transfer data engineering best practices across environments.

WE OFFER YOU:

• Available cooperation models: UoP or B2B
• Office space or 100% remote – whichever suits you best!
• Communication in English - only foreign customers, and international Teams
• Simple structure and 'open door' way of communication
• Full-time English teachers
• Medical insurance for employees
• HiQo University- internal education and training programs
• HiQo Coins - system of rewarding employees for extracurricular activities