Big Data Engineer
2 weeks ago
As a Big Data Engineer at Michael Page's client, a multinational bank operating in global markets, you will be responsible for designing, developing, and optimizing complex data pipelines to facilitate seamless data integration from multiple sources into our data warehouse.
Key Accountabilities:
- Create and optimize complex data pipelines to ensure seamless integration from multiple sources into our data warehouse.
- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver actionable insights that inform business decisions.
- Implement and maintain data warehousing solutions, ensuring high performance, availability, and reliability of data, while adhering to industry regulations and data governance frameworks.
Requirements:
- Minimum 5 years of technical experience in data pipelining and data warehousing, preferably in banking or financial services.
- Strong understanding of software engineering principles and best practices.
- Proficiency in programming languages such as Python, Java, or Scala for data processing and ETL development.
What You Will Gain:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- A dynamic and supportive work environment.
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