As Data Engineer you’ll develop, build, maintain, and manage data pipelines. This requires working with large datasets, databases,
and the software used to analyze them
Job responsibilities:

• Design, develop, and optimize ETL/ELT workflows using ETL/ELT tools (DBT, Apache Nifi) from various sources to big data platforms.
• Design, develop, and optimize ETL/ELT workflows using SAP SLT, SAP BW for data replication from SAP ERP systems to SAP
• HANA and big data platforms.
• Implement data integration solutions using technologies like Hadoop, Spark, Kafka, or similar.
• Develop data models for big data storage and processing.
• Develop dimensional data models for data warehouse and OLAP storages,
• Develop datamarts as a data products for data science and business intelligence workloads
• Write and optimize code in programming languages such as Python, Java, or Scala to process large datasets.
• Automate data processing tasks and develop custom data solutions.
• Develop realtime and batch data ingestion pipelines using Apache Nifi and other data ingestion/mediation rules
• Develop streaming ELT/ETL data pipelines using Kafka, Apache Spark, Apache Flink
• Develop and finetune existing CI/CD pipelines using Gitlab
• Develop and finetune process orchestration using Apache Airflow
• Develop and manage ETL/ELT processes to ensure efficient data flow.
• Monitor and improve the performance of data extraction, loading, and transformation processes.
• Implement data quality checks and validation procedures.
• Ensure compliance with data governance policies, including data security and privacy standards.
• Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to meet data requirements.
• Provide technical support and troubleshoot data-related issues.

Job requirements:

• Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree is a plus.
• 3-5 years of experience in data engineering.
• Experience with SAP reporting stack (SAP BW, SAP HANA, SAP BO Universe design).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Basic experience with data streaming technologies (Kafka and Spark Streaming).
• Strong programming skills in Python, Java, or Scala.
• Experience with Apache Airflow.
• Solid understanding of ETL/ELT processes and data warehousing concepts
• Solid understanding of SQL and NoSQL databases (MS SQL, PostgreSQL, SAP HANA, Cassandra)
• Experience with containerization (Docker, Kubernetes as developer)
• Basic understanding of oil and gas industry processes and data requirements is a plus
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

We offer:

• 5 work days from 8-17 or 9-18;
• Meal allowance;
• Annual performance and project bonuses;
• Corporate health program: VIP voluntary insurance and special discounts for gyms;
• Access to Digital Learning Platforms.

Note: Only candidates who meet the requirements of the vacancy will be contacted for the next stage.