Data Engineer - €35.000 - €50.000 A Year - Remote
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Job description
Role : Senior Data Engineer ( 4 positions)Location : RemoteType : PermanentSalary : **K euros gross per yearWe are seeking Expert Data Engineers to join our team, responsible for designing, developing, testing, and deploying robust data solutions. The ideal candidates will have hands-on experience with AWS data services such as S3, Glue, Athena, EMR, EC2, and Lambda, and a strong understanding of modern data architectures including data lakes, lake houses, and data mesh. They will collaborate with cross-functional teams to deliver scalable data pipelines, data warehouses, and data marts, ensuring data quality, security, and compliance.Job Responsibilities / RoleDesign, develop, test, and deploy data pipelines and data platforms using AWS servicesImplement and maintain data lake, lake house, or data mesh architecturesCollaborate with data engineers, analysts, and DevOps teams to deliver business solutionsEnsure compliance with data governance, security, and records management policiesTroubleshoot and resolve data-related issues, supporting change management processesDemonstrate ownership of projects from inception to deliveryMandatory SkillsIn?depth understanding of when to use a range of tools as opposed to limited practical experience in a specific set of toolsExperience level to be a minimum of 3+ working years in cloudSpark/ScalaPythonSQLAWS expertise in services such as S3, Glue, Athena, EMR, EC2, and LambdaETL design and data modellingAnalytical thinking: ability to anticipate all edge cases and scalable xhfqzwm issues in the futureProblem?solving skillsAttention to detailNice To HaveFamiliarity with CI/CD tools (e.G., GitHub Actions)Experience with Apache Iceberg or similar table formatsExposure to data quality frameworks (e.G., Great Expectations, Deequ)Knowledge of Bash and HCL would be an added advantageStrong communication skillsProactive and self?motivatedCommitment to continuous learning and improvementUniversity degree in technology, preferably in computer science#J-**-Ljbffr
Requirements
In?depth understanding of when to use a range of tools as opposed to limited practical experience in a specific set of tools Experience level to be a minimum of 3+ working years in cloud Spark/Scala Python SQL AWS expertise in services such as S3, Glue, Athena, EMR, EC2, and Lambda ETL design and data modelling Analytical thinking: ability to anticipate all edge cases and scalable xhfqzwm issues in the future Problem?solving skills Attention to detail Nice To Have Familiarity with CI/CD tools (e.G., GitHub Actions) Experience with Apache Iceberg or similar table formats Exposure to data quality frameworks (e.G., Great Expectations, Deequ) Knowledge of Bash and HCL would be an added advantage Strong communication skills Proactive and self?motivated Commitment to continuous learning and improvement University degree in technology, preferably in computer science #J-*****-Ljbffr
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