Tagcor

Data Engineer

Develop and maintain robust data pipelines and ETL processes to facilitate seamless data integration across various platforms.
Utilize Microsoft SQL Server and SSIS stack for data management and transformation tasks.
Design and manage cloud-based data solutions on Azure or Google Cloud to ensure scalable and efficient data storage and processing.
Leverage Apache tools, including Airflow, Spark, and Hadoop, for orchestrating data workflows and processing large datasets.
Write and maintain high-quality code in programming languages such as Java, Python, or C#.
Implement real-time data streaming and event-driven architectures using technologies like Apache Kafka or Azure Service Bus.
Mentor and guide a team of data engineers, fostering a culture of collaboration and continuous improvement.
Ensure adherence to data governance and data quality best practices to maintain data integrity and reliability.
Analyse and optimize current database architecture to enhance performance and scalability.
Tune SQL queries and ETL processes to improve data performance and efficiency.
Collaborate with cross-functional teams to understand data requirements, design scalable data solutions, and ensure data security.
Implement DevOps practices and tools for CI/CD in data engineering to streamline development and deployment processes.
Demonstrate strong analytical and problem-solving skills while paying attention to detail.