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 (Apache Spark, DBT, Apache Airflow, 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.
• Develop data models for big data storage and processing.
• Develop dimensional data models for data warehouse
• Develop data marts as a data products for data science and business intelligence workloads
• Write and optimize code in programming languages such as Python, Go, Java, or Scala to process large datasets.
• Automate data processing tasks and develop custom data solutions.
• Develop streaming ELT/ETL data pipelines using Apache Kafka and Apache Spark 
• Develop and finetune existing CI/CD pipelines using Gitlab
• Develop and finetune process orchestration using Apache Airflow
• 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.

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.

Interested candidates can apply via the link in the Apply for job button.

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