Data Engineer

ICRON, a leading provider of Optimized Decision Making and Supply Chain Optimization software solutions, is looking for a Data Engineer who designs, develops, and maintains the infrastructure and systems to join our team in Istanbul office.

Are you ready to make your mark and contribute to the growth and strategy in an established and expanding planning and optimization software provider that is at the forefront of the industry?

If so, then ICRON would be a great fit for you. 

Founded in 1992, ICRON has offices in Amsterdam, Istanbul, and Singapore and an ever-expanding client base that stretches across the world and across numerous industries. Some of the world’s largest and most prestigious companies –Ford, Unilever, Bayer, Bridgestone, Şişecam, Vestel, and Turkish Technic – use our software solutions.

We have a simple, but powerful, mission: to help our clients visualize, synchronize, and optimize their end-to-end supply chain operations and enable them to make optimized decisions that improve their productivity and profitability.

Responsibilities:

• Work closely with cross-functional teams to understand data requirements and provide necessary support
• Build, design, and maintain robust and scalable data architectures ensuring the efficient storage and retrieval of large volumes of data
• Create and implement data models to support business requirements for various applications and analytics
• Develop and optimize Extract, Transform, Load (ETL) processes for seamless data movement and transformation between systems
• Responsible for data integration, transformation, quality, and preparation of data-centric solutions like data warehouse, data lake, and data analytics projects
• Manage and optimize databases, ensuring high performance, data integrity, and security and advise any necessary infrastructure changes to reach real-time capabilities
• Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and analytics
• Implement data quality checks and validation processes to ensure the accuracy and reliability of our data
• Research opportunities and new technologies to improve existing systems

Qualifications:

• Bachelor’s degree in a technical field (e.g. Engineering, Computer Science, MIS)
• Minimum 2 years of experience in the field of data engineering
• Strong knowledge of Python, SQL, REST API, and XML web services
• Experience with data modeling concepts and ETL processes
• Experience in data ingestion from a variety of sources like DBs, APIs, streaming data
• Good understanding of file formats including JSON, XML, and Parquet
• Experience building systems to perform real-time data processing using Apache Beam, Google Pub/Sub, or Kafka
• Having knowledge about Cloud environments like GCP, AWS, Azure
• Experience in continuous development and integration tools such as Azure Devops
• Ability to perform on multiple tasks both independently and as part of a team.
• Good communication skills with the ability to convey complex findings to technical and non-technical stakeholders
• Familiarity with Apache Spark, Hadoop, or Flink
• Familiarity with MSMQ, RabbitMQ systems
• Familiarity with data orchestration tools like Apache Airflow to schedule and monitor data processing

We will process your personal data as part of our recruitment procedures. To find out more, please consult our Disclosure Text for Employee Candidates.