Data Engineer

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. 
• Implement data integration solutions using technologies like 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. 
• 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. 
• 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 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)
• Experience with SAP reporting stack (SAP BW, SAP HANA, SAP BO Universe design) is a plus. 
• 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 8:00 – 17:00 or 9:00 – 18:00;
• Meal allowance;
• Annual performance bonuses;
• Corporate health program: 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.

Interested candidates can apply by filling out the form in the Apply for job button.