OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical & data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.

We are looking for a Senior Data Engineer for our client in the aviation industry. ✈️

Read more: https://medium.com/@oredata-engineering

Apply and be part of our exciting journey!

Responsibilities

  • Develop, maintain, and optimize legacy ETL and DWH processes.
  • Work hands-on with Oracle, Teradata, SQL, PL/SQL, and stored procedures.
  • Develop IBM DataStage or similar ETL platforms such as Informatica or Ab Initio.
  • Participate in legacy-to-modern data migration projects.
  • Analyze existing data structures and map them to modern architectures.
  • Build and manage data pipelines using Apache Spark.
  • Read and write data from object storage environments such as AWS S3.
  • Contribute to technology evaluation, PoC studies, and future platform decisions.
  • Define technical standards and provide architectural guidance to data and analytical teams.

Requirements

  • Minimum 5 years of experience in Data Engineering, ETL, or Data Warehouse environments.
  • Bachelor's degree in Computer Engineering, Software Engineering or a related Engineering discipline.
  • Strong experience with traditional DWH and legacy data platforms.
  • Hands-on experience with Oracle, Teradata, SQL, PL/SQL, and stored procedures.
  • Development with IBM DataStage or similar ETL platforms such as Informatica or Ab Initio.
  • Experience in at least one end-to-end data migration or legacy modernization project.
  • Hands on experince with Apache Spark.
  • Experience reading and writing data from AWS S3.
  • Ability to work hands-on while contributing at Senior, Staff Engineer, or Data Architect level.
  • Strong analytical, consultative, and communication skills.

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