Data Engineer

A leading banking company is on the lookout for a talented Data Engineer to join their dynamic team. They have over 40 years of experience and are looking for a hardworking individual to add to their success If you are passionate about building robust data pipelines, managing large datasets, and developing scalable data architecture, this is the perfect opportunity for you to contribute to data-driven innovations in the banking sector. Duties: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Implement ETL (Extract, Transform, Load) processes to integrate and consolidate data from various sources. Ensure data integrity, quality, and security while managing large and complex datasets. Work with cloud platforms, databases, and big data technologies to enable seamless data processing. Optimize data storage solutions for performance and scalability, using modern data tools and technologies. Requirements: Bachelors Degree in Computer Science, Information Systems, Data Science, or a related field. Proven experience as a Data Engineer, preferably in the banking or financial services sector. Strong proficiency in data management technologies such as SQL, NoSQL databases, and data warehousing solutions. Experience with cloud-based platforms like AWS, Azure, or Google Cloud, and tools like Snowflake or Redshift.