Are you a skilled Data Engineer looking to make a significant impact in the financial services sector? Join a well-established banking company with over 40 years of success, and become a key player in their data-driven future. If you thrive on building efficient data pipelines, managing vast datasets, and architecting scalable data solutions, this role offers you the chance to contribute to innovative projects in a dynamic environment.
Key Responsibilities: - Collaborate with data scientists, analysts, and cross-functional teams to gather data requirements and develop high-quality data solutions.
- Design, implement, and optimize ETL (Extract, Transform, Load) processes to integrate data from multiple sources.
- Ensure data accuracy, security, and integrity across large and complex datasets.
- Leverage cloud platforms, databases, and big data technologies for efficient data processing and management.
- Optimize data storage and processing solutions to ensure scalability and performance using the latest tools and technologies.
What Were Looking For: - Bachelors Degree in Computer Science, Information Systems, Data Science, or a related field.
- Proven experience as a Data Engineer, with a background in the banking or financial services industry preferred.
- Proficiency in data management technologies, including SQL, NoSQL databases, and data warehousing.
- Experience with cloud platforms like AWS, Azure, or Google Cloud, and tools like Snowflake or Redshift.
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