Data Engineer (AWS)

Location: Prague, Czechia

Company

hirify.global is an IT consultancy delivering software solutions across AI, ML, BI, web, automation, and multiple industries including telecom, energy, banking, insurance, pharma, automotive, industry, and e-commerce.

What you will do

• Design, develop, and maintain scalable data pipelines and data solutions in cloud-based environments.
• Build and optimize data processing workflows using AWS services and process large datasets with Spark and PySpark.
• Develop data transformations and processing solutions using Python, Java, SQL, Databricks, and Dataiku.
• Develop and maintain cloud infrastructure with CloudFormation and Terraform, and implement CI/CD pipelines using software development lifecycle practices.
• Ensure data solutions are reliable, scalable, and maintainable while collaborating with data, technology, and business teams.
• Create and maintain technical and SDLC documentation.

Requirements

• More than 10 years of experience.
• Experience with AWS, including S3, IAM, Redshift, SageMaker, Glue, Lambda, Step Functions, and CloudWatch.
• Proficiency in Python or Java and SQL; strong Redshift experience is preferred within the requirement.
• Hands-on experience with Spark and PySpark.
• Experience with Databricks and/or Dataiku.
• Experience with Jenkins, Git, Docker, CloudFormation, and Terraform.
• Good understanding of data engineering and SDLC practices.
• Strong communication and documentation skills.

Nice to have

• Knowledge of DSCS and DPTM.
• Experience with enterprise-scale data platforms and cloud environments.
• Experience working in Agile or cross-functional teams.

Culture & Benefits

• Freelance contract.
• Work in an IT consultancy serving startups, mid-sized companies, and large corporations.
• Collaboration with data, technology, and business teams.