Data Engineer (Amazon Web Services)

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Data Engineer (Amazon Web Services)

2025.09.18.

Summary

Budapest, HUN

Hybrid

Senior

Introduction

Join our prestigous client working in the IT services industry and work on international projects!

Description

  • Design and implement ETL processes using AWS Glue.
  • Develop and maintain data pipelines to ingest, transform, and load data from various sources.
  • Collaborate with data scientists, technical leads and analysts to understand data requirements and deliver solutions.
  • Optimize and troubleshoot existing ETL processes for performance and scalability.
  • Ensure data quality and integrity throughout the ETL lifecycle.
  • Monitor and manage AWS Glue jobs and workflows.
  • Stay updated with the latest AWS services and features to leverage them in solutions.

Tasks

  • Design and implement ETL processes using AWS Glue.
  • Develop and maintain data pipelines to ingest, transform, and load data from various sources.
  • Collaborate with data scientists, technical leads and analysts to understand data requirements and deliver solutions.
  • Optimize and troubleshoot existing ETL processes for performance and scalability.
  • Ensure data quality and integrity throughout the ETL lifecycle.
  • Monitor and manage AWS Glue jobs and workflows.
  • Stay updated with the latest AWS services and features to leverage them in solutions.

Expectations

  • 3-5 years/5+ years (for seniors) years of experience in data engineering or a related role.
  • Experience with AWS Glue, including Glue ETL jobs, Glue Data Catalog, and Glue Crawlers.
  • Strong experience with AWS services such as S3, Athena, Lambda, Redshift, and IAM.
  • Job orchestration and Scheduling: AWS Glue workflows, AWS Step Functions.
  • Strong knowledge of Python/PySpark.
  • Expertise in SQL and database management.
  • Knowledge of Python or Scala for ETL scripting.
  • Familiarity with data warehousing concepts and technologies.
  • Experience with data integration and transformation tools.

Advantages

Any of the following certifications:

  • AWS Certified Solutions Architect
  • AWS Certified Big Data
  • AWS Certified Data Engineer

Employer's offer

Opportunity to work on international data projects

24 hours free gym facilities

Internal trainings

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Data Engineer (Amazon Web Services)

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HUN Budapest hybrid senior Join our prestigous client working in the IT services industry and work on international projects! Design and implement ETL processes using AWS Glue.Develop and maintain data pipelines to ingest, transform, and load data from various sources.Collaborate with data scientists, technical leads and analysts to understand data requirements and deliver solutions.Optimize and troubleshoot existing ETL processes for performance and scalability.Ensure data quality and integrity throughout the ETL lifecycle.Monitor and manage AWS Glue jobs and workflows.Stay updated with the latest AWS services and features to leverage them in solutions. Design and implement ETL processes using AWS Glue.Develop and maintain data pipelines to ingest, transform, and load data from various sources.Collaborate with data scientists, technical leads and analysts to understand data requirements and deliver solutions.Optimize and troubleshoot existing ETL processes for performance and scalability.Ensure data quality and integrity throughout the ETL lifecycle.Monitor and manage AWS Glue jobs and workflows.Stay updated with the latest AWS services and features to leverage them in solutions. 3-5 years/5+ years (for seniors) years of experience in data engineering or a related role.Experience with AWS Glue, including Glue ETL jobs, Glue Data Catalog, and Glue Crawlers.Strong experience with AWS services such as S3, Athena, Lambda, Redshift, and IAM.Job orchestration and Scheduling: AWS Glue workflows, AWS Step Functions.Strong knowledge of Python/PySpark.Expertise in SQL and database management.Knowledge of Python or Scala for ETL scripting.Familiarity with data warehousing concepts and technologies.Experience with data integration and transformation tools. Any of the following certifications:AWS Certified Solutions ArchitectAWS Certified Big DataAWS Certified Data Engineer Opportunity to work on international data projects24 hours free gym facilitiesInternal trainings