Data Engineer

Who are we?Commercial Bank , Founded in 1975 and headquartered in Doha , plays a vital role in Qatar’s economic development through offering a range of personal, business, government, international and investment services. At Commercial Bank of Qatar, we believe in empowering our employees, providing them with opportunities for growth and professional development.By Joining us , you’ll be part of workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.Join us in shaping the future of banking!Job Summary Data Engineer is one of the key roles in a major initiative of Enterprise Data Fabric development which is a part of CBQ’s Data Strategy and overall Digital Transformation. As a part of Data Governance and Engineering department Data Engineer will be implementing various data management systems such as Data Lake, RDM, Data Streaming, Metadata management which will be a part of the Enterprise Data Fabric. Data Engineer will also work closely with number of IT, PMO, Data and operations teams to understand their needs and ensure that the Enterprise Data Fabric contributes to overall data quality, availability, democratization and culture.Key Accountabilities Participate in Data Management systems implementation projects: Data Lakehouse, Data Streaming, Metadata management, Reference Data Management Develop data pipelines to bring new data to Enterprise Data Fabric Ensure data pipelines are efficient, scalable, and maintainable Comply with data engineering and development best practices (CI/CD, Code Management, Testing, Knowledge Management, Documentation etc.)Ensure that all Data Policies are met within Enterprise Data Fabric.Ensure that implemented systems correspond with target Data Architecture Support Data teams (DQ, Data Governance, BI, Data Science) in achieving their goals Maintain agile delivery process based on one of frameworks: Kanban, Scrum Ensure that SLAs with data consumers and data sources are maintained Implement all necessary monitoring, alerting Facilitating collaboration between IT and wider Data team and supporting data science, BI and Data Excellence teams to ensure seamless integration and effective communication.KEY COMPETENCIESPython (Advanced level)Airflow or Apache Ni Fi K8s (Open Shift), Docker RDBMS: MS SQL Server, Postgre SQL, Oracle ETL (at least one of): SSIS, Informatica Power Center, IBM Datastage, Pentaho SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries)Git (Git Hub/Git Lab)Kafka is a plus Object Storage (S3, GCS, ABS) is a plus Spark is a plus Experience with dbt is a plus Familiar with Data Warehousing (Star/Snowflake schemas) And Data Lake Agile methodologies (Kanban, Scrum)Strong problem-solving skills Qualifications, Experience Required Qualifications: Bachelor's degree in Computer Science, Information Management, or related field Required Experience Minimum 2 years of experience in a data engineering role Experience working in Agile frameworks (Scrum, Kanban, etc.) is a plus Experience in Finance/Banking is a plus. #J-18808-Ljbffr