Senior Data Engineer

OREDATA; Turkey; On-site; TRY 400,000 - 640,000; Full time

Job summary

OREDATA is seeking a Senior Data Engineer for our aviation client to lead legacy ETL and data warehouse modernization. You will work hands-on with Oracle, Teradata, SQL, PL/SQL and Spark to build scalable data pipelines and optimize performance across the data stack.

You will analyze data structures, map them to modern architectures, contribute to PoC studies and platform decisions, and provide architectural guidance to data and analytics teams.

Qualifications

• 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 experience 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.

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.
• 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.

Skills

ETL & Data Warehousing

Apache Spark

AWS S3

Analytical & Communication skills

Senior/Staff/Data Architect level

Education

Bachelor's degree in Computer Engineering, Software Engineering or related Engineering

Tools

IBM DataStage

Informatica

Ab Initio

Oracle

Teradata

SQL

PL/SQL

Job description

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.

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
• 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